87 Results for Aiml Engineer Jobs

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Artificial Intelligence (AI) System Engineer

Albuquerque, NM
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions. Responsibilities:• Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards.• Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance.• Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support.• Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight.• Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools.• Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities.• Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments.• Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews.• Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems.• Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value.Other duties as needed
2026-11-02T00:00:00Z

Lead Artificial Intelligence (AI) Engineer

Avon, MN
onsite
Permanent / Full Time
130000 - 190000 USD / Yearly
We are looking for an experienced Lead Artificial Intelligence (AI) Engineer to guide the design and delivery of advanced AI solutions for a growing construction-focused organization in Avon, Minnesota. This role will lead the creation of scalable applications that turn complex project and operational data into practical, production-ready tools. The ideal candidate brings strong technical leadership, deep hands-on engineering expertise, and a track record of building reliable AI systems that integrate with enterprise platforms. Responsibilities: • Lead the technical direction, architecture, and full lifecycle delivery of a core software platform from early concept through production deployment and ongoing improvement. • Design and develop production-grade AI applications, including retrieval-based solutions, agent-driven workflows, tool orchestration, and review processes that incorporate human oversight. • Create robust evaluation frameworks and context management approaches to improve model quality, system reliability, and business relevance. • Connect AI capabilities with enterprise platforms such as Procore, Salesforce, Bluebeam, financial systems, and the organization’s Microsoft Fabric data environment. • Define and enforce engineering best practices across the AI team, including codebase organization, testing strategy, release management, and operational readiness. • Establish observability standards and monitor usage patterns, performance trends, and solution costs to support stable and efficient production systems. • Partner with cross-functional stakeholders to translate construction and project data into practical AI-enabled workflows and decision-support tools. • Ensure security and governance considerations are embedded throughout solution design, deployment, and ongoing maintenance.
2026-10-06T00:00:00Z

AI Security Architect

Malvern, PA
onsite
Temporary to Hire
76 - 88 USD / Hourly
We are looking for an AI Security Architect to help shape and strengthen the security posture of enterprise AI capabilities in Pennsylvania. This contract opportunity is ideal for a security specialist who can guide the safe adoption of AI platforms, agent-based tools, and AI-assisted development practices while aligning with internal standards and regulatory expectations. The role works closely with technology, risk, compliance, and business teams to evaluate emerging capabilities, address evolving threats, and support responsible innovation. Responsibilities: • Develop and refine security architecture for AI platforms, intelligent agents, and AI-assisted coding solutions to support secure deployment and ongoing operations. • Assess platform enhancements, configuration updates, and newly introduced AI features to identify potential risk and recommend practical safeguards before implementation. • Establish and improve protective controls for AI environments, including permissions, monitoring, logging, data safeguards, and usage restrictions. • Analyze how sensitive and regulated information is handled within AI workflows, and support governance efforts related to classification, labeling, and responsible data use. • Review connectors, plugins, integrations, and agent-driven capabilities to confirm appropriate access levels and reduce exposure across teams and systems. • Conduct structured security evaluations of AI tools, models, and services to verify alignment with internal policies and relevant industry guidance. • Research new AI security technologies and threat patterns, including prompt-based attacks, model misuse, and unintended data exposure, and identify opportunities for improvement. • Partner with stakeholders across IT, risk, compliance, and business functions to communicate findings and advance secure AI adoption. • Support secure software development by reviewing AI-generated code practices and incorporating AI-focused security checks into engineering workflows. • Produce meaningful security metrics, including key risk and performance indicators, to strengthen monitoring and decision-making for AI security operations.
2026-10-16T00:00:00Z

AI Network Architect

Chicago, IL
onsite
Permanent / Full Time
175000 - 200000 USD / Yearly
We are seeking an experienced Network Architect to design, optimize, and future-proof our enterprise network environment with a strong focus on scalability, security, performance, and readiness for emerging AI-driven technologies. This role requires deep expertise in Cisco architecture, advanced routing and switching, and modern network design principles to support a growing and evolving business. Based on general knowledge. Key Responsibilities<ul><li>Design and lead enterprise network architecture across LAN, WAN, wireless, data center, and cloud-connected environments. Based on general knowledge.</li><li>Develop network strategies that support AI futureproofing, including scalable bandwidth, low-latency design, resilient connectivity, and infrastructure readiness for automation and data-intensive workloads. Based on general knowledge.</li><li>Lead architecture standards, roadmaps, and modernization initiatives across core networking platforms. Based on general knowledge.</li><li>Serve as the subject matter expert for Cisco-based environments, including routing, switching, security, SD-WAN, and wireless technologies. Based on general knowledge.</li><li>Evaluate current network performance, identify gaps, and recommend improvements for capacity, resilience, and operational efficiency. Based on general knowledge.</li><li>Partner with infrastructure, security, cloud, and application teams to ensure integrated and secure network solutions. Based on general knowledge.</li><li>Design high-availability and disaster recovery network solutions to support business continuity. Based on general knowledge.</li><li>Guide implementation teams on best practices, configuration standards, and troubleshooting for complex network initiatives. Based on general knowledge.</li><li>Maintain architecture documentation, diagrams, standards, and technical recommendations for leadership and engineering teams. Based on general knowledge.</li><li>Assess new technologies and vendor solutions that align with long-term network and business strategy. Based on general knowledge.</li></ul>Required Qualifications<ul><li>7+ years of progressive network engineering and architecture experience, including enterprise-level design responsibility. Based on general knowledge.</li><li>Deep hands-on experience with Cisco networking technologies in complex enterprise environments. Based on general knowledge.</li><li>Strong expertise in routing, switching, BGP, OSPF, VLANs, QoS, VPNs, firewalls, wireless, and network segmentation. Based on general knowledge.</li><li>Experience designing highly available, secure, and scalable networks across on-premises and cloud-connected environments. Based on general knowledge.</li><li>Knowledge of network architecture considerations for AI, automation, and future-state digital transformation initiatives. Based on general knowledge.</li><li>Strong understanding of network security principles, access controls, and performance optimization. Based on general knowledge.</li><li>Proven ability to create architectural standards, lead network modernization, and support enterprise growth. Based on general knowledge.</li><li>Excellent communication skills with the ability to present technical strategy to both technical and non-technical stakeholders. Based on general knowledge.</li></ul>
2026-10-15T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role SummaryThe Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. Key Responsibilities<ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>
2026-10-30T00:00:00Z

Azure Integration Engineer

Fairfield, NJ
onsite
Permanent / Full Time
135000 - 155000 USD / Yearly
We are seeking an Integration Engineer to support the design, development, and maintenance of cloud-based integration solutions within a growing organization. This role will focus on connecting business applications, data platforms, and enterprise systems while helping improve data flow, automation, and overall system interoperability. The position offers the opportunity to work closely with both technical and business teams to deliver scalable integration capabilities and contribute to long-term architecture and platform strategy. Responsibilities:<ul><li>Design, develop, and maintain integration solutions that enable secure and reliable data exchange across applications and systems.</li><li>Build and support APIs, interfaces, and integration services while ensuring appropriate security, governance, and lifecycle management.</li><li>Develop and enhance automated deployment and operational processes to improve efficiency and reliability.</li><li>Design and implement integration patterns that support both real-time and asynchronous communication needs.</li><li>Collaborate with stakeholders to gather requirements, define technical solutions, and support implementation efforts.</li><li>Create and maintain technical documentation related to integrations, interfaces, and development standards.</li><li>Troubleshoot and resolve integration-related issues, including data, configuration, and system connectivity challenges.</li><li>Support ongoing platform enhancements, modernization initiatives, and system integrations as business needs evolve.</li><li>Develop data transformation and movement processes across multiple systems and platforms.</li><li>Promote best practices, reusable components, and scalable integration frameworks across the enterprise environment.</li></ul>
2026-11-03T00:00:00Z

Implementation Engineer

San Antonio, TX
remote
Permanent / Full Time
100000 - 120000 USD / Yearly
We are looking for an Implementation Engineer to lead the deployment and integration of enterprise technology solutions for customer environments in San Antonio, Texas. This role partners closely with client IT teams to prepare infrastructure, connect cloud-based services, and deliver secure, reliable implementations that align with business needs. The ideal candidate brings strong systems and networking knowledge, a methodical approach to documentation, and the ability to resolve technical issues with professionalism and urgency. Responsibilities: • Deploy and configure enterprise software across customer servers, workstations, and connected network devices. • Coordinate with client IT teams to assess infrastructure readiness and prepare environments for successful solution delivery. • Integrate platforms with identity and access management systems, including Azure Active Directory, Microsoft Entra ID, Google, Active Directory, and Okta. • Connect cloud services to customer networks while ensuring dependable performance, security, and compatibility. • Produce clear implementation records, configuration details, and support documentation for completed projects. • Investigate technical issues in existing installations and provide timely troubleshooting and resolution. • Use remote collaboration and support tools to assist customers, perform technical reviews, and complete implementation tasks. • Follow company policies, operational procedures, and applicable compliance and safety standards in all work activities. • Communicate openly with management regarding project status, risks, and other important matters affecting delivery.
2026-10-01T00:00:00Z

AI GTM Engineer (Contract)

Atlanta, GA
onsite
Temporary / Contract
0 - 0 USD / Yearly
Location: Atlanta, GA (Hybrid – standard remote/in-office split in Atlanta)Duration: Ongoing ContractEmployment Type: Full-Time Contract About the RoleWe are seeking an innovative, system-minded AI GTM Engineer to join our team on an ongoing contract basis. In this role, you will sit at the intersection of Revenue Operations, Sales, Marketing, and AI Technology. You will architect, automate, and scale intelligent systems that turn market signals into high-converting revenue motions.If you excel at building agentic workflows, leveraging data enrichment tools, and integrating custom AI logic directly into GTM tech stacks, this role offers an opportunity to directly shape our revenue infrastructure.Key Responsibilities<ul><li>AI & Agentic Workflow Architecture: Design, build, and deploy autonomous AI agents, LLM prompts, and intelligent workflows to automate inbound lead processing, outbound plays, and account personalization.</li><li>Signal & Data Orchestration: Build data waterfalls and signal-based triggers (intent data, hiring spikes, executive shifts) using modern tools (e.g., Clay, Apollo, Clearbit, OpenAI/Anthropic APIs) to surface high-value opportunities to revenue teams.</li><li>Tech Stack Integration: Wire AI capabilities directly into our CRM (Salesforce/HubSpot) and outreach tools, bridging gaps between disconnected sales/marketing applications via custom APIs and automation tools.</li><li>Experimentation & Playbook Design: Rapidly test, iterate, and optimize automated outreach, messaging variations, and routing rules based on performance metrics (reply rates, pipeline velocity, conversion lift).</li><li>Team Enablement & Technical Governance: Serve as a bridge between RevOps and frontline reps. Train sales and marketing teams on AI tool adoption, ensure data hygiene, and maintain operational stability.</li></ul>
2026-11-02T00:00:00Z

Sr. MLOps Engineer

King of Prussia, PA
onsite
Permanent / Full Time
165000 - 185000 USD / Yearly
We are looking for a Senior MLOps Engineer to strengthen our machine learning infrastructure in King of Prussia, Pennsylvania. This hybrid position will focus on building dependable systems that support the full model lifecycle, from data preparation and training to deployment and ongoing performance oversight. The role works closely with machine learning and engineering partners to improve reliability, scalability, and cost efficiency across production ML operations. Responsibilities: • Lead the design, maintenance, and enhancement of the machine learning platform that supports experimentation, training workflows, model versioning, deployment, and production observability. • Develop and operate resilient data pipelines for model training and live inference, including processes for replaying historical data, recovering from source interruptions, and handling delayed or inconsistent inputs. • Establish data handling practices that preserve time-accurate training sets so models are built on information available at the correct point in time. • Create repeatable pathways for promoting validated models into production while maintaining consistency, traceability, and operational stability. • Implement standards that make training runs reproducible, allowing teams to reliably compare results and investigate performance changes. • Track model behavior in production over time, including delayed outcome validation, and surface issues that affect model quality or business impact. • Optimize infrastructure and workflows to manage compute and data costs as usage expands across larger datasets and multiple deployed models. • Collaborate with ML engineers on model assessment, production readiness, and technical decision-making related to deployment strategies and platform improvements. • Contribute to architecture planning and recommend enhancements to the broader ML and operational ecosystem using sound engineering practices. • Support cloud-native operations using AWS, Kubernetes, Terraform, and Ansible to maintain scalable and well-managed environments.
2026-11-03T00:00:00Z

Software Engineer, AI

Los Angeles, CA
remote
Permanent / Full Time
160000 - 170000 USD / Yearly
Software Engineer, AI Company Overview A growing organization is seeking an AI Engineer to develop automation, data, and AI-driven solutions that improve business processes and operational efficiency. This role offers the opportunity to work on innovative projects while helping shape the organization's use of emerging technologies. Role Summary The AI Engineer will design, build, and support AI-powered applications, automation solutions, and data-driven workflows. The ideal candidate combines strong software engineering skills with experience delivering practical AI solutions in a business environment. Key Responsibilities<ul><li>Design, develop, and support AI-enabled applications and automation solutions.</li><li>Partner with business and technical teams to identify opportunities for process improvement.</li><li>Build integrations between AI solutions, data sources, and business applications.</li><li>Monitor solution performance and continuously improve reliability and effectiveness.</li><li>Develop and maintain technical documentation and best practices.</li><li>Support the evaluation and adoption of emerging AI technologies.</li></ul>
2026-10-09T00:00:00Z

AI Manager

Houston, TX
onsite
Permanent / Full Time
175000 - 225000 USD / Yearly
We are looking for an experienced AI Manager to lead the delivery of enterprise AI applications in Houston, Texas. This role combines technical leadership with hands-on engineering, guiding full-stack AI solutions from data pipelines and backend services to user-facing applications powered by machine learning and generative AI. The successful candidate will work closely with cross-functional partners while building a strong engineering culture centered on quality, accountability, and practical innovation. Responsibilities: • Lead and develop a team of full-stack AI engineers supporting multiple projects at the same time, providing direction, mentorship, and consistent performance feedback. • Contribute directly to active engineering work by helping design, build, and refine AI-enabled applications across frontend, backend, and data environments. • Architect scalable solutions that connect data ingestion, application services, machine learning capabilities, and user interfaces into cohesive products. • Establish and uphold engineering practices related to code reliability, testing discipline, security controls, and technical documentation. • Review architecture decisions and software deliverables to maintain a high standard for performance, maintainability, and production readiness. • Partner with product leaders, data engineers, and AI specialists to translate business goals into practical technical plans and delivered solutions. • Promote responsible use of AI-assisted development tools and define working standards that improve code quality and team effectiveness. • Assess emerging AI engineering tools and methodologies, sharing recommendations and embedding useful practices across the team. • Support hiring, coaching, and team development efforts to strengthen capability, accountability, and delivery excellence.
2026-10-05T00:00:00Z

Infrastructure Engineer

Radnor, PA
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for an Infrastructure Engineer to support and strengthen enterprise infrastructure operations across on-premises and cloud environments. This contract opportunity is ideal for a hands-on individual who can help maintain reliable data center services, improve Microsoft 365 and Azure platforms, and contribute to secure, scalable technology solutions. The role partners with internal teams and external providers to deliver practical infrastructure improvements, support end users, and drive consistent operational standards. Responsibilities: • Deliver technical support for employees using Windows, macOS, iOS, and Android devices, ensuring timely resolution of hardware, software, and access issues. • Oversee the health and performance of data center systems across physical, virtual, and hosted environments, and work with service partners to implement improvements. • Execute infrastructure updates and platform changes across servers, operating systems, virtualization layers, and storage systems using controlled deployment practices. • Administer and enhance Microsoft 365 and Azure services with a focus on usability, security, service consistency, and cost awareness. • Configure and support identity and access solutions, including Active Directory and Azure Active Directory integrations with cloud applications and SaaS platforms. • Participate in disaster recovery planning and carry out recovery procedures to validate readiness and alignment with business expectations. • Introduce tools and processes that simplify end-user support, while guiding teams through adoption of new infrastructure services and capabilities. • Create and maintain technical standards, system documentation, and operational procedures to support repeatable service delivery. • Lead or contribute to small and mid-sized infrastructure initiatives across multiple sites, coordinating tasks, timelines, and technical execution.
2026-10-27T00:00:00Z

IT Engineer

San Antonio, TX
onsite
Permanent / Full Time
75000 - 90000 USD / Yearly
We are looking for an IT Engineer to support and enhance enterprise infrastructure across San Antonio, Texas. This role focuses on maintaining reliable systems, strengthening identity and network services, and contributing technical expertise to infrastructure and security initiatives. The ideal candidate brings hands-on experience across Microsoft platforms, cloud services, virtualization, backup technologies, and enterprise networking environments. Responsibilities: • Oversee the health, upkeep, and rollout of core infrastructure components, including servers, network hardware, and related enterprise systems. • Manage Microsoft identity and access platforms by administering, deploying, and resolving issues across Active Directory, Entra ID, and associated services. • Implement and support infrastructure solutions across cloud, on-premises, and endpoint environments while ensuring stable day-to-day operations. • Partner with security team members to complete infrastructure-related security work and help maintain a resilient technical environment. • Collaborate with internal and external solution delivery teams when advanced infrastructure expertise is needed for project execution. • Advise infrastructure leadership on emerging tools, operational improvements, and technical opportunities that can benefit the business. • Coordinate with IT business stakeholders to clarify expectations and communicate changes that may affect users or operations. • Serve as a senior escalation resource for complex incidents and technical problems that require advanced troubleshooting beyond the service desk. • Support network and operational technology environments, including work involving enterprise switching, wireless platforms, firewalls, and industrial systems where applicable.
2026-10-06T00:00:00Z

IAM Engineer / Architect Saviynt

Dallas, TX
remote
Temporary / Contract
68 - 75 USD / Hourly
A growing organization is seeking a Senior IAM Engineer / Architect with deep expertise in Saviynt Identity Governance and Administration (IGA) to lead enterprise identity governance initiatives. This role will be responsible for architecting and delivering scalable identity solutions, automating access management processes, integrating critical business applications, and strengthening compliance and security across the organization. POSITION TITLE: Senior IAM Engineer / Architect (Saviynt)LOCATION: Remote / HybridSALARY: Competitive, Based on Experience RESPONSIBILITIES<ul><li>Lead the design, implementation, and optimization of Saviynt IGA solutions.</li><li>Build and enhance Joiner, Mover, Leaver (JML) workflows and identity lifecycle processes.</li><li>Develop RBAC models, birthright access frameworks, and automated provisioning/deprovisioning workflows.</li><li>Integrate cloud, SaaS, and on-prem applications with Saviynt using APIs and connectors.</li><li>Implement access request processes, certifications, entitlement reviews, and SoD controls.</li><li>Partner with security, audit, compliance, infrastructure, and business teams to strengthen identity governance.</li><li>Create audit-ready reporting and support regulatory compliance initiatives.</li></ul>
2026-10-29T00:00:00Z

Agent Platform Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Software Engineer Company OverviewA leading organization is seeking a Software Engineer to help develop next-generation AI platforms. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment. Role SummaryThe Software Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development. Key Responsibilities<ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul>
2026-10-30T00:00:00Z

Azure Cloud Engineer AI & Automation

Malvern, PA
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for an Azure Cloud Engineer – AI & Automation to join a contract opportunity based in Pennsylvania. In this role, you will help shape and support secure Azure environments while enabling AI-driven capabilities across cloud infrastructure, automation, and platform operations. This position is ideal for someone who enjoys balancing hands-on engineering with governance, reliability, and scalable delivery practices in a highly regulated environment. Responsibilities: • Create and support Azure-based solutions spanning infrastructure, connectivity, identity, storage, and managed platform services in line with enterprise architecture and security expectations. • Develop and optimize deployment automation using infrastructure-as-code and modern release pipelines through tools such as Azure DevOps, GitHub Actions, Bicep, and Terraform. • Operate and administer AI services across Azure AI Foundry, Azure OpenAI, Claude, and related platforms, including model setup, permission management, policy enforcement, evaluation, and live environment support. • Establish and govern secure integrations for Model Context Protocol and connected enterprise systems by applying strong authentication, access controls, and data protection standards. • Manage APIs, event-driven components, and security gateway configurations that enable AI services and automated workflows to connect with business applications reliably. • Build retrieval-augmented AI solutions using Azure AI Search, embeddings, and vector-based data patterns to improve access to enterprise knowledge. • Maintain and enhance automation solutions built with Power Automate, Logic Apps, and Copilot Studio, supporting integrations with Microsoft 365, Teams, SharePoint, and ServiceNow. • Strengthen cloud governance through Azure Policy, tagging strategy, cost oversight, monitoring, logging, and operational observability tools such as Azure Monitor and Application Insights. • Support Microsoft Fabric administration by overseeing tenant settings, workspace permissions, capacity controls, data access, and usage visibility across supported workloads. • Contribute technical documentation, reusable standards, KPI/KRI reporting, change review activities, and incident or release support for cloud and AI environments.
2026-10-01T00:00:00Z

AI Experience Designer (Contract)

Atlanta, GA
onsite
Temporary / Contract
0 - 0 USD / Yearly
Locations (Hybrid): Atlanta, GA | Nashville, TN (Must reside near and be able to work hybrid out of one of these regional hub locations)Duration: 6-Month Contract (Potential to extend based on performance and project scope)Work Schedule: Full-Time (40 Hours / Week)Employment Type: Contract About the RoleWe are seeking an innovative, forward-thinking AI Experience Designer to join our design team for a 6-month contract engagement with potential for extension. In this role, you will define and design user-centered experiences powered by artificial intelligence, generative models, and intelligent automation.Positioned at the intersection of UX design, product strategy, and conversational AI, you will craft intuitive interaction models, agentic workflows, and UI patterns that make complex AI interactions feel seamless, transparent, and delight-driven for our users. Key Responsibilities<ul><li>AI Experience & Interaction Design: Map end-to-end user journeys for AI-powered features, establishing novel interaction patterns for conversational interfaces, copilot experiences, predictive workflows, and generative outputs.</li><li>Prototyping & Workflow Design: Create low-to-high fidelity wireframes, user flows, interactive prototypes, and system logic diagrams in Figma to demonstrate dynamic AI behaviors and state changes.</li><li>Human-AI Interface Guidelines: Help build and maintain design system guidelines specifically for AI components, including prompt interfaces, feedback loops, confidence indicators, and error-handling states.</li><li>Cross-Functional Collaboration: Partner closely with AI/ML engineers, product managers, content strategists, and research teams to translate technical capabilities into clear, ethical, and accessible user interfaces.</li><li>User Testing & Iteration: Design and run usability evaluations to test prompt clarity, AI output comprehension, user trust, and friction points, rapidly iterating based on qualitative and quantitative feedback.</li></ul>
2026-11-02T00:00:00Z

Entry Level AML Analyst

Princeton, NJ
onsite
Temporary / Contract
21 - 23 USD / Hourly
We are looking for a detail-oriented Entry Level AML Analyst to support financial crime compliance efforts within a Financial Services environment in Princeton, New Jersey. This Long-term Contract position is a strong fit for someone beginning a career in financial analysis, compliance, or banking operations and interested in reviewing transactional activity for potential risk indicators. The role focuses on analyzing customer records, preparing clear written observations, and maintaining accuracy while working with high volumes of information. Responsibilities: • Examine customer accounts and transaction activity to identify unusual behavior, inconsistencies, or potential money laundering concerns. • Review compliance documentation and related case materials to support anti-money laundering and enhanced due diligence investigations. • Prepare concise written summaries that clearly document findings, observations, and recommended follow-up items. • Complete accurate and efficient data entry while maintaining the integrity of customer and transaction records. • Use Microsoft Excel to organize, track, and analyze compliance-related information and reporting details. • Support the preparation and review of currency transaction reporting and other required financial compliance records. • Escalate questionable activity or missing documentation to the appropriate team members for further review. • Maintain organized work output and follow established procedures in a deadline-driven environment.
2026-10-12T00:00:00Z

Staff Software Engineer, AI

Minneapolis, MN
onsite
Permanent / Full Time
175000 - 250000 USD / Yearly
We are looking for a Staff Software Engineer, AI to help build the core platform that powers enterprise-grade intelligent agents in Minneapolis, Minnesota. In this role, you will tackle complex technical challenges across distributed systems, applied artificial intelligence, security, and platform engineering while creating reliable capabilities for demanding business use cases. You will work closely with product, engineering, machine learning, and security teams to guide architectural decisions and deliver scalable agent-driven solutions. Responsibilities: • Drive the technical direction of the agent platform, shaping how agents plan tasks, make decisions, manage execution flow, and produce structured outcomes in production environments. • Develop multi-layered memory capabilities that support short-term context, historical interactions, knowledge retrieval, and persistent workflow state while enforcing retention and access policies. • Build secure execution frameworks for agent operations using isolated containerized environments with strong controls for resources, network access, credentials, and tenant separation. • Create dependable orchestration patterns that enable asynchronous processing, delegated work, checkpointing, restartability, retry logic, and recovery from operational failures. • Implement extensible integrations with internal and external tools, ensuring strong authentication, authorization boundaries, and protections against unsafe or manipulated actions. • Establish evaluation frameworks and observability practices to assess quality, reliability, latency, correctness, and cost, then use findings to improve agent performance over time. • Partner with cross-functional stakeholders to translate high-impact business workflows into scalable AI agent capabilities that support complex enterprise needs.
2026-11-02T00:00:00Z

AD/Identity Engineer

Libertyville, IL
onsite
Temporary / Contract
57 - 66 USD / Hourly
We are looking for an AD/Identity Engineer to support enterprise identity services and help strengthen secure access across a complex technology environment in Illinois. This Long-term Contract position is ideal for someone who can combine hands-on engineering expertise with strong coordination skills across business stakeholders, internal IT teams, and external partners. The role focuses on modern identity platforms, application authentication, and operational ownership of critical directory and access management services. Responsibilities: • Serve as the primary technical point of contact among business stakeholders, internal technology teams, and external delivery partners to keep identity-related work aligned and on track. • Guide hybrid identity initiatives by supporting the movement of on-premises directory services into a Microsoft-based modern authentication environment. • Collaborate with third-party partners to assess implementation plans, confirm technical settings, and verify that agreed project outcomes are completed successfully. • Help onboard and enable roughly 200 applications for updated authentication methods and enterprise identity platforms. • Administer, configure, and resolve issues across Active Directory, Microsoft Entra ID, Azure AD Connect, Okta, and integrated OAuth or single sign-on solutions. • Work closely with application owners to collect integration needs, coordinate testing efforts, and manage production cutover activities. • Review migrated users, groups, and access assignments to ensure identity data and permissions are transferred accurately. • Investigate and resolve issues involving authentication, federation, directory synchronization, and application access. • Produce and maintain technical documentation, support procedures, and knowledge-sharing materials to enable stable ongoing operations. • Take long-term administrative ownership of the identity environment and provide continued support after project milestones are completed.
2026-11-02T00:00:00Z

IT Infrastructure DevOps Engineer

Atlanta, GA
remote
Permanent / Full Time
90000 - 110000 USD / Yearly
Senior Infrastructure DevOps EngineerRemote - Atlanta, GALocation Requirement: This is a fully remote position; however, candidates must currently reside in the Atlanta, GA area. Applicants outside of Atlanta will not be considered.Work Authorization: No C2C. No third-party agencies. No sponsorship or visa transfers now or in the future. About the RoleWe are seeking a Senior Infrastructure DevOps Engineer to join a growing IT team. This is an exciting opportunity for someone who enjoys wearing multiple hats across infrastructure, cloud engineering, automation, DevOps, enterprise applications, and technical leadership.This role is ideal for someone who enjoys taking ownership of projects, mentoring junior engineers, partnering with business stakeholders, and driving technical initiatives that improve business operations. Responsibilities<ul><li>Lead enterprise infrastructure initiatives (approximately 60–70% of the role).</li><li>Support DevOps projects, automation, and development (approximately 30–40% of the role).</li><li>Build and develop APIs using Python and PowerShell.</li><li>Manage Azure cloud resources, including networks, storage, services, and cloud infrastructure.</li><li>Administer and configure financial ERP systems and enterprise business applications.</li><li>Oversee Microsoft 365 administration, including Exchange Online, SharePoint, Teams, and OneDrive.</li><li>Administer Entra ID (Azure Active Directory), including roles, conditional access, governance, and identity management.</li><li>Manage Microsoft Intune for device deployment and compliance.</li><li>Develop PowerShell scripts, Python automation, and Power Automate workflows to reduce manual effort and improve business and Finance processes.</li><li>Support and enhance integrations between Business Central (ERP), Kantata, Navan, ADP, and other enterprise applications.</li><li>Monitor and optimize Azure cloud resources, performance, and costs.</li><li>Apply security best practices, including MFA, device compliance, least-privilege access, and governance.</li><li>Support audits, compliance initiatives, and security investigations.</li><li>Provide Level 3 support for complex infrastructure and application issues.</li><li>Mentor junior engineers and provide technical leadership.</li><li>Take ownership of projects and work across multiple IT disciplines.</li><li>Partner with business stakeholders to recommend technical solutions and improve operational efficiency.</li><li>Help drive future operational growth and leadership initiatives.</li></ul>
2026-10-21T00:00:00Z

IAM Architect

Stratford, CT
onsite
Permanent / Full Time
140000 - 180000 USD / Yearly
We are looking for an IAM Architect to lead the design and advancement of identity and access management solutions in Stratford, Connecticut. This role focuses on shaping secure, scalable architecture that supports business priorities across hybrid and cloud environments. The ideal candidate will combine deep technical knowledge with strong judgment, helping teams strengthen security controls while delivering practical, cost-conscious solutions. Responsibilities:• Lead the assessment, design, and implementation of enterprise identity and access management architecture aligned with organizational goals and security priorities.• Define security requirements and recommend appropriate controls, capabilities, and solution patterns based on business needs, technology strategy, and emerging threats.• Review vendor proposals and statements of work, identify security gaps or control weaknesses, and provide informed recommendations to internal stakeholders and vendor management teams.• Create and maintain architecture blueprints, design documentation, and strategic roadmaps, and present implementation approaches to leadership and project teams.• Develop tailored security solutions that support layered defense strategies by partnering with internal teams, external providers, and business stakeholders.• Evaluate identity, access, and broader security technologies against operational, financial, and risk considerations, and advise on adoption or improvement opportunities.• Establish baseline security standards for platforms, applications, network segmentation, and identity-related services across enterprise environments.• Provide senior-level technical guidance to resolve complex access, directory, and security issues throughout planning, delivery, and operational support phases.• Direct technical project execution by setting scope, quality expectations, timelines, and overall architectural direction through completion.• Work across technical, business, and leadership groups to ensure timely delivery of secure, high-quality IAM services.
2026-10-09T00:00:00Z

IAM Architect

Los Angeles, CA
onsite
Permanent / Full Time
180000 - 220000 USD / Yearly
Identity & Access Management (IAM) Architect Company OverviewAn organization is seeking an IAM Architect to support enterprise identity and access management initiatives across a diverse technology environment. This role offers the opportunity to provide technical leadership while contributing to the design, implementation, and evolution of secure authentication and access management solutions. Role SummaryThe IAM Architect will lead the design and development of identity and access management solutions that support organizational security, operational efficiency, and business objectives. This individual will work closely with technology and security teams to establish scalable identity frameworks, improve access controls, and support enterprise-wide security initiatives. Key Responsibilities<ul><li>Design and maintain identity and access management architectures that support business and security requirements.</li><li>Provide technical leadership and architectural guidance for identity-related projects and initiatives.</li><li>Collaborate with technology teams to implement secure authentication, authorization, and access management solutions.</li><li>Support the design and management of identity lifecycle processes, access controls, and governance practices.</li><li>Evaluate and enhance security controls related to user access, privileged access, and identity management.</li><li>Develop standards, guidelines, and best practices for identity and access management technologies.</li><li>Partner with stakeholders to identify risks and recommend practical security improvements.</li><li>Support integration efforts across enterprise applications, cloud services, and technology platforms.</li><li>Assist with process automation, operational efficiencies, and continuous improvement initiatives.</li><li>Participate in architecture reviews, technology evaluations, and strategic planning activities.</li></ul>
2026-10-23T00:00:00Z

AI Data Center Infrastructure Architect

Irvine, CA
remote
Permanent / Full Time
20000 - 300000 USD / Yearly
We are looking for an experienced infrastructure architect to lead the design of large-scale environments that support AI model training, inference, and high-performance computing in Irvine, California. This role blends deep technical expertise with practical decision-making across compute, networking, storage, and data center infrastructure, ensuring solutions are scalable, resilient, and ready for production. The position works closely with engineering, operations, vendors, and facilities teams to turn workload demands and site constraints into well-defined, deployable architectures. Responsibilities: • Architect end-to-end data center solutions for AI and HPC environments, aligning compute, interconnect, storage, and management systems into a cohesive platform. • Convert workload profiles, growth forecasts, and site limitations into detailed infrastructure designs that support performance, reliability, and future expansion. • Assess rack-scale platforms and hardware configurations to determine the best fit for resiliency, operational efficiency, and long-term scalability. • Design network frameworks for compute, storage, user, and administrative traffic with careful attention to bandwidth, failover, and overall fabric performance. • Define storage strategies based on throughput, latency, capacity, and application behavior to meet demanding AI and HPC requirements. • Produce detailed equipment specifications and bills of materials covering hardware components, connectivity, software, support agreements, and spare inventory. • Review vendor and integrator proposals to confirm technical completeness, pricing accuracy, and alignment with architectural requirements. • Partner with manufacturers, OEMs, and integration providers during technical assessments and contribute expertise during commercial discussions. • Establish rack layouts, cabling plans, service access considerations, and facility requirements including power, cooling, weight, and floor space. • Create validation standards for benchmarking, reliability testing, and operational acceptance before systems are released into production.
2026-10-18T00:00:00Z

MLOps Engineer II (GPU Compute)

Coppell, TX
onsite
Temporary / Contract
75 - 80 USD / Hourly
We are looking for a MLOps Engineer II w/ a focus on GPU Compute to join a team in Coppell, Texas, on a Long-term Contract assignment. In this role, you will design and refine vision-based AI solutions that support real-world image and video use cases, while partnering with cross-functional teams to move ideas from research into production. The position is ideal for someone who combines strong machine learning expertise with practical understanding of hardware constraints and model performance in live environments. Responsibilities:•Deploy GPUs (Graphics Processing Units) workflows in a retail environment that requires processing massive amounts of image, video, customer, and transaction data.•Design, build, and enhance computer vision and machine learning models for use cases involving object detection, image segmentation, classification, and video-based analysis.•Compare modeling approaches, assess trade-offs across accuracy, speed, and scalability, and recommend fit-for-purpose solutions aligned with business goals.•Train and adapt deep learning models using frameworks such as PyTorch or TensorFlow, applying techniques like transfer learning and optimization for efficient performance.•Establish evaluation methods, track key performance measures, investigate error patterns, and iterate on models to improve reliability and response time.•Incorporate practical considerations related to cameras, sensors, lighting conditions, and edge hardware when developing and tuning solutions.•Create and support data preparation, annotation, and validation workflows that enable consistent experimentation and dependable deployment.•Work closely with software, hardware, and MLOps partners to transition models from proof of concept into production-ready applications.•Contribute to deployment readiness by helping optimize models for inference and operational use in resource-constrained environments.
2026-10-27T00:00:00Z

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