210 Results for Ai Engineer Jobs in Usa

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AI Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking an experienced AI Engineer with a strong background in full-stack software development, C#/.NET programming, and Microsoft Azure to design, develop, and implement AI-driven applications and solutions. This role will focus on integrating Generative AI technologies into scalable, enterprise-level applications while leveraging modern cloud technologies and software engineering best practices. The ideal candidate is a hands-on developer who can build end-to-end solutions, integrate AI capabilities into existing systems, and contribute to the development of innovative, AI-powered applications.
2026-10-22T00:00:00Z

AI Engineer

Boca Raton, FL
remote
Temporary / Contract
55 - 60 USD / Hourly
We are looking for an AI Engineer to serve as a force multiplier for the client’s engineering organization. The role is part of an initiative to design, build, and scale AI-powered engineering workflows that dramatically increase developer productivity and accelerate software delivery. The client’s team is actively supporting a complex legacy-to-Python migration while maintaining multiple customer-facing applications. This role will be responsible for leveraging AI technologies to automate and optimize every phase of the Software Development Life Cycle (SDLC), including requirements analysis, code generation, testing, defect investigation, and release processes. Key Responsibilities:· Design and implement AI-powered workflows that automate software engineering processes across the SDLC.· Build and orchestrate multi-step AI agent frameworks for code analysis, generation, validation, testing, and feedback loops.· Develop reusable AI tooling, agent templates, and engineering playbooks adopted across multiple teams.· Create automated testing solutions, regression frameworks, and validation mechanisms using AI-assisted approaches.· Enhance CI/CD pipelines and DevOps processes through intelligent automation and release optimization.· Support large-scale legacy application modernization and business rule extraction initiatives.· Build Python-based automation tools for data processing, workflow orchestration, and engineering productivity.· Partner with developers, architects, and engineering leadership to identify and eliminate delivery bottlenecks.· Evaluate and implement emerging AI technologies that improve software development efficiency and quality.
2026-10-20T00:00:00Z

AI Engineer

Fort Washington, PA
onsite
Temporary / Contract
55 - 60 USD / Hourly
We are looking for an AI Engineer to help build and enhance intelligent software solutions in Fort Washington, Pennsylvania. This Long-term Contract opportunity is ideal for a senior-level engineer who combines deep .NET and C# expertise with practical experience creating AI-driven applications on the Microsoft ecosystem. In this role, you will partner with technical and business teams to deliver scalable products, improve how intelligent agents operate, and introduce modern AI capabilities into enterprise environments. Responsibilities: • Create and support enterprise applications and backend services using .NET and C# with a focus on scalability, reliability, and maintainability. • Develop AI-enabled features and agent-based solutions using Microsoft technologies such as Azure AI services, Azure OpenAI, Cognitive Services, and related platform tools. • Connect intelligent agents with business platforms, APIs, and operational workflows so they can perform useful actions across enterprise systems. • Refine model performance by shaping prompts, structuring contextual inputs, and improving how agents interpret and respond to requests. • Build retrieval-based solution patterns, including vector search and indexing approaches, to strengthen response quality and access to relevant knowledge. • Implement orchestration logic, state handling, memory strategies, and feedback mechanisms that support more effective agent behavior and task execution. • Assess AI outputs and agent performance through testing, validation methods, and continuous optimization to improve accuracy and dependability. • Work closely with product, data, engineering, and DevOps teams while also reviewing code, guiding less-experienced developers, and promoting strong development standards.
2026-10-27T00:00:00Z

AI Engineer

La Jolla, CA
onsite
Permanent / Full Time
150000 - 200000 USD / Yearly
We are looking for an AI Engineer to create practical, employee-facing applications that improve how internal teams find information, complete work, and make decisions. This role partners closely with business stakeholders to uncover operational challenges, shape effective solutions, and deliver reliable tools from concept through production support. The ideal candidate brings strong engineering depth, sound product judgment, and hands-on experience building applied AI systems that drive measurable efficiency and adoption. Responsibilities: • Partner with business leaders and end users to map workflows, identify inefficiencies, and define high-value AI solutions for internal operations. • Design, build, and deploy AI-powered applications in Python using model APIs, orchestration frameworks, and enterprise-ready software practices. • Develop retrieval-based experiences that enable users to search, analyze, and ask questions across internal documents and structured data sources. • Create end-to-end automated processes that connect language models with business platforms, data systems, and human review checkpoints where needed. • Architect agent-driven or multi-step AI solutions with clearly defined roles, secure permissions, and dependable coordination between components. • Strengthen application quality through thoughtful testing, monitoring, documentation, deployment standards, and ongoing performance improvements. • Assess model behavior for factual quality, consistency, traceability to source material, and usefulness in real business scenarios. • Build intuitive user interfaces that allow employees to interact with AI tools easily without requiring technical expertise. • Manage post-launch ownership by resolving issues, incorporating user feedback, and delivering enhancements that improve reliability and adoption. • Present technical decisions, tradeoffs, and business impact clearly to both technical teams and non-technical stakeholders.
2026-10-18T00:00:00Z

AI Software Engineer

Phoenix, AZ
onsite
Temporary / Contract
47.5 - 55 USD / Hourly
We are looking for a skilled AI Software Engineer to join our team in Phoenix, Arizona. In this long-term contract role. We want a full-stack software engineer who ships at AI speed without giving up engineering judgment. You'll use AI coding agents as your main tool, and you'll be the person who knows when the agent is wrong. Responsibilities:· Build department workspaces end to end. Ticket hubs, queues, tiles and filters for Client Services, Legal, HR and Compliance (e.g. a ClickUp-style filter builder, a performance-review system, a legal case tracker).· Work on regulated workflows. Credit-dispute (e-OSCAR ACDV) queues with locking, auto-submit and audit trails, where a bug means a compliance issue, not just a broken screen.· Replace CollectOne, one department at a time. Read legacy SQL Server data, mirror it into Postgres, and rebuild the daily screens staff rely on.· Write database migrations safely. Plan apply-before-merge order, row-level security, and one-transaction-per-page-load rules.· Wire integrations. Microsoft Graph mailboxes into tickets, Amazon Connect call screens, AWS Bedrock AI features (reply suggestions, PDF invoice analysis), S3 uploads, Stripe and QuickBooks.· Drive AI agents well. Write clear prompts and specs, break work into small stacked PRs, and review every line the agent writes.· Keep CI honest. Respect the guard checks (page index, lint ratchet, migration hygiene, secret scanning) and add new guards when a mistake could repeat.· Sit with users. Turn a messy request from a supervisor into a clear spec, then show them the working screen.
2026-10-28T00:00:00Z

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

Artificial Intelligence (AI) Engineer

Monroe, NY
onsite
Permanent / Full Time
150000 - 225000 USD / Yearly
We are seeking a skilled AI Engineer to join our dynamic technology team. The ideal candidate has hands-on experience integrating advanced AI and large language model (LLM) features into applications, as well as a strong background in designing and delivering AI-driven solutions. In this role, you will work closely with product, engineering, and data teams to build and enhance innovative products using the latest AI frameworks and tools. Key Responsibilities: <ul><li>Design, develop, and integrate AI and LLM features into new or existing applications, ensuring scalable and reliable deployment.</li><li>Collaborate with cross-functional teams to define technical requirements and deliver AI-driven functionalities in production environments.</li><li>Utilize AI frameworks, APIs, and platforms such as OpenAI, LangChain, vector databases, and machine learning libraries to accelerate solution development.</li><li>Lead prompt engineering, fine-tuning, and model optimization initiatives to improve performance and user outcomes.</li><li>Evaluate and select the most appropriate AI/ML models, tools, and platforms for project needs.</li><li>Conduct documentation, code reviews, testing, and performance monitoring of AI-driven products.</li><li>Stay up to date with advancements in artificial intelligence, generative models, and industry best practices.</li></ul>
2026-10-08T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join a growing team. This position focuses on building intelligent, production-ready applications that combine modern software engineering with advanced agent-based AI capabilities. The ideal candidate will lead solutions from early design through deployment, creating scalable services, responsive user experiences, and reliable AI-driven workflows that support business objectives. Responsibilities:• Lead the full product development lifecycle for AI-powered applications, from solution design and architecture through testing, deployment, and ongoing improvement.• Create and support backend platforms using Python or Node.js, delivering scalable services and well-structured APIs for web and AI-based systems.• Build and refine React-based user interfaces that connect smoothly with backend services and provide a consistent application experience.• Design distributed architectures, including microservices and agent orchestration patterns, to support complex reasoning, tool usage, memory, and multi-step execution.• Integrate large language models with business systems, external tools, databases, and enterprise applications to enable practical automation and decision support.• Improve performance across applications by tuning services, optimizing database interactions, and managing efficient use of cloud infrastructure.• Establish secure engineering practices by implementing authentication, access controls, and reliable approaches to privacy, testing, and system protection.• Oversee containerized deployments and continuous delivery workflows using Docker and related DevOps tooling, while resolving issues in production cloud environments.• Define evaluation, monitoring, and tracing methods that measure AI agent quality, cost, latency, safety, and overall operational reliability.• Partner with cross-functional stakeholders and provide technical guidance to engineers contributing to agentic AI initiatives and platform development.
2026-10-30T00:00:00Z

Artificial Intelligence (AI) Engineer

Jacksonville, FL
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create and scale advanced generative AI solutions for a highly regulated financial services setting in Jacksonville, Florida. This position is ideal for a hands-on engineer who can turn concepts into dependable production applications while balancing speed, quality, and security. You will work across AI architecture, application development, and cloud deployment to deliver intelligent capabilities that support enterprise business goals. Responsibilities: • Design and implement generative AI applications and agent-based workflows that solve complex business challenges in a financial services environment. • Build end-to-end AI capabilities, including solution design, development, testing, deployment, and ongoing performance monitoring. • Connect large language models to enterprise products and operational processes to deliver practical, production-ready functionality. • Develop and maintain data preparation workflows such as document chunking, embedding generation, indexing, and vector search optimization. • Configure and manage cloud infrastructure using Terraform to support scalable, resilient, and secure AI services. • Engineer robust backend components and enterprise applications using C# and the Microsoft technology stack. • Collaborate with technical and business stakeholders to define requirements, prioritize deliverables, and drive high-quality execution. • Ensure AI systems meet expectations for reliability, governance, data protection, and compliance within a regulated industry. • Continuously refine models, pipelines, and application performance to improve accuracy, efficiency, and operational stability.
2026-10-08T00:00:00Z

Artificial Intelligence (AI) Engineer

Irvine, CA
onsite
Permanent / Full Time
140000 - 170000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to join a team building intelligent applications and production-ready AI services in Irvine, California. This role combines software engineering, applied AI development, and operational ownership, with a focus on creating reliable user-facing tools and scalable backend systems. The ideal candidate brings hands-on experience with modern language model platforms, strong Python development skills, and the ability to translate business goals into practical AI solutions. Responsibilities: • Create and launch web-based products, AI-powered services, and multi-step agent workflows that support complex tool interactions and orchestration. • Develop and support integrations with Anthropic platforms and Claude capabilities, including streaming responses, prompt optimization, caching strategies, and tool-enabled model behavior. • Craft, refine, and assess prompts to improve consistency, safety, response quality, and cost performance across AI-driven features. • Build backend REST APIs in Python and deliver front-end functionality in React and TypeScript to support AI-enabled user experiences. • Manage deployment operations for AI systems by maintaining containerized services, delivery pipelines, cloud environments, and runtime monitoring. • Design and tune database interactions for relational systems to ensure efficient querying and dependable application performance. • Establish automated testing approaches for both standard software logic and probabilistic AI behavior, including evaluation workflows and regression coverage. • Partner with technical and business stakeholders to convert operational needs into effective AI-based solutions and product enhancements. • Produce clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
2026-10-22T00:00:00Z

Artificial Intelligence (AI) Engineer

Lawrenceville, GA
onsite
Permanent / Full Time
120000 - 150000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to help build and expand practical AI capabilities for the business. This role works closely with functional leaders to uncover meaningful use cases, convert operational challenges into scalable technical solutions, and deliver tools that improve decision-making and efficiency. It is a strong opportunity for a hands-on specialist who enjoys working in a developing environment and wants to influence how AI is applied across the organization. Responsibilities: • Partner with business leaders to understand operational pain points and identify where AI can create measurable value. • Translate business needs into solution concepts, technical approaches, and implementable AI initiatives. • Design, develop, test, and deploy AI and machine learning applications that address real-world business problems. • Evaluate repetitive workflows and manual tasks across departments to recommend automation or intelligent assistance opportunities. • Collaborate with teams such as finance, recruiting, and operations to create tools that improve productivity and information flow. • Help establish an internal pipeline of AI initiatives by assessing impact, feasibility, and implementation priorities. • Serve as a bridge between non-technical stakeholders and technical execution by clearly communicating options, risks, and outcomes. • Contribute to the growth of the organization’s AI capability through hands-on development, experimentation, and continuous improvement.
2026-10-21T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join our team. This position focuses on building intelligent applications and scalable software systems that support advanced AI-driven products in the real estate and property industry. The ideal candidate brings deep engineering expertise across modern backend development, API design, front-end integration, and agent-based AI architecture. You will play a key role in shaping production-ready AI solutions that are reliable, secure, and aligned with business goals. Responsibilities:• Lead full lifecycle development of AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.• Design and deliver agent-based AI solutions that support reasoning, multi-step execution, tool usage, memory handling, and workflow orchestration.• Build, test, and maintain scalable backend applications and services using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks such as Express or NestJS.• Create and support RESTful and GraphQL interfaces that connect web applications, internal platforms, databases, and external tools.• Develop React-based user interfaces and ensure smooth interaction between front-end components and backend services.• Architect microservices and distributed application patterns that improve scalability, resilience, and maintainability.• Improve system efficiency by tuning application performance, refining database usage, and managing cloud resources effectively.• Apply strong security practices across authentication, authorization, deployment, and production operations while supporting CI/CD pipelines and containerized environments.• Establish monitoring, tracing, evaluation, and debugging practices for AI systems in production, and resolve issues across cloud-based environments.• Partner with product, design, DevOps, data, and engineering teams while providing technical guidance on AI platform strategy and engineering standards.
2026-10-30T00:00:00Z

Artificial Intelligence (AI) Engineer

Irvine, CA
onsite
Permanent / Full Time
150000 - 160000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create intelligent applications and production-ready AI services that deliver measurable business value. This role is based in Irvine, California, and blends backend engineering, frontend development, and operational ownership to bring AI capabilities into real-world products. The ideal candidate is comfortable building agent-based workflows, shaping reliable prompt strategies, and partnering with stakeholders to turn complex needs into practical technical solutions. Responsibilities: • Create and launch web-based products, AI-enabled services, and multi-step agent workflows that support complex tool interactions and orchestrated decision-making. • Develop and support integrations with leading language model platforms, including capabilities such as streaming responses, prompt optimization, tool invocation, and cached interactions. • Craft, refine, and assess prompts to improve output quality while balancing consistency, safety considerations, and usage cost. • Build Python-based REST APIs and React/TypeScript user interfaces that expose AI functionality in a scalable and user-friendly way. • Manage deployment and operational processes for AI systems, including container builds, automated delivery pipelines, cloud hosting, and runtime observability. • Design and optimize database queries for relational data stores to ensure strong performance and dependable access patterns. • Establish testing approaches for both predictable application logic and variable AI behavior through evaluation harnesses, regression coverage, and automated validation. • Work closely with cross-functional partners to define use cases, align technical choices with business priorities, and deliver effective AI-backed solutions. • Produce and maintain clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
2026-10-22T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring for a Principal level Software Engineer to focus on agentic workflows and AI software products. In this role, you will lead full product development efforts while creating intelligent, scalable applications that combine agentic AI capabilities with modern web technologies. The position calls for a hands-on engineer who can build reliable backend systems, contribute to user-facing experiences, and partner across teams to deliver secure, high-performing solutions. Responsibilities:• Lead the full software development lifecycle for AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.• Create and refine agentic AI workflows that support business objectives and integrate effectively with application services.• Build, test, and support scalable server-side applications using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks including Express or NestJS.• Develop and maintain RESTful or GraphQL interfaces that enable dependable communication between applications and services.• Contribute to front-end development with React, ensuring smooth interaction between user interfaces and backend functionality.• Architect and support microservices-based and distributed systems designed for reliability, flexibility, and growth.• Improve overall system efficiency by tuning application performance, refining database access patterns, and managing cloud resource consumption.• Apply strong security practices by implementing access control, authentication, and authorization measures across applications.• Oversee containerized delivery processes and automated deployment workflows using Docker and CI/CD tools, while diagnosing and resolving production issues in cloud environments.• Work closely with product, design, and DevOps partners to deliver maintainable, well-documented solutions that meet project goals.
2026-11-02T00:00:00Z

Hardware Engineer

Cambridge, MA
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
We are looking for a Hardware Engineer to join our team in Boston, Massachusetts and support the design and deployment of machine vision hardware solutions for industrial applications. This role is ideal for someone with a mechanical engineering foundation who enjoys translating real-world operating conditions into practical camera, lighting, and system configurations. You will work closely with internal teams and customers to improve imaging performance, document deployment standards, and help validate reliable hardware setups for both pilot programs and production environments. Responsibilities:• Assess customer environments by reviewing operating conditions such as motion, available space, lighting variability, and mounting limitations to determine effective vision system setups.• Develop hardware recommendations that align with application needs, including cameras, lenses, illumination components, compute platforms, and network connectivity equipment.• Refine camera placement, lighting approach, and viewing angles to improve defect detection and overall imaging quality across different use cases.• Create clear technical documentation such as configuration records, wiring layouts, setup instructions, and deployment diagrams to support repeatable installations.• Support hands-on testing and qualification activities to confirm hardware performance, durability, and reliability before broader rollout.• Visit customer sites as needed to assist with installation planning, validate hardware selections, and troubleshoot field performance issues.• Define hardware use cases for industrial automation environments, including scenarios that may involve integration with programmable logic controllers.• Partner with cross-functional teams to identify vision-related issues, propose corrective hardware changes, and optimize system designs for production demands.
2026-11-02T00:00:00Z

AI / Machine Learning Engineer

Des Moines, IA
onsite
Permanent / Full Time
80000 - 100000 USD / Yearly
Position: AI / Machine Learning Engineer - Direct Hire Permanent Opportunity Location: Hybrid - Des Moines, IA Salary: $80,000 - 100,000 base annual salary plus exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** AI / Machine Learning Engineer Are you passionate about applying machine learning and advanced analytics to solve real-world business challenges? We're partnering with an established and growing technology consulting organization seeking an AI / Machine Learning Engineer to help expand its AI, predictive analytics, and data science capabilities. In this highly visible role, you'll work directly with business leaders and analysts to develop machine learning models, improve anomaly detection, build forecasting solutions, and influence the future direction of the company's AI initiatives. What You'll Do • Develop and improve machine learning and predictive analytics models • Analyze complex data using Python and SQL • Support anomaly detection, forecasting, and advanced analytics initiatives • Evaluate model performance and recommend improvements • Collaborate with analysts, stakeholders, and leadership to solve business problems • Help shape AI/ML tools, methodologies, and best practices What We're Looking For • 1-3+ years of AI, Machine Learning, Data Science, or Advanced Analytics experience • Strong Python skills with libraries such as Pandas, NumPy, and Scikit-Learn • Experience with statistical modeling, predictive analytics, and machine learning • Strong SQL and data analysis skills • Ability to explain technical concepts to both technical and non-technical audiences • Collaborative, self-directed, and entrepreneurial mindset Why Join? • Make a visible impact in a growing AI/ML practice • Work directly with decision-makers and leadership • Collaborative, team-oriented culture with exceptional employee tenure • Hybrid work environment • Opportunity to influence strategy, architecture, and future AI initiatives • Competitive compensation and benefits This is an excellent opportunity for someone who enjoys combining technical depth, business impact, and hands-on problem solving in a flexible, entrepreneurial environment. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-10-14T00:00:00Z

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

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

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

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

Applied AI Training Engineer

San Francisco, CA
onsite
Temporary / Contract
95 - 110 USD / Hourly
We are looking for an Applied AI Training Engineer to join a Contract opportunity in San Francisco, California. This role focuses on shaping high-quality data and evaluation assets that strengthen how large language models learn specialized enterprise software concepts, workflows, and decision patterns. The ideal candidate will combine AI training expertise, strong technical judgment, and close collaboration with subject matter experts to improve model accuracy, consistency, and real-world usefulness across complex business scenarios. Responsibilities: • Develop structured training examples that help large language models learn enterprise software behaviors, terminology, and task flows with precision. • Collaborate with subject matter experts to convert product knowledge, process logic, and business context into usable datasets for model training. • Define data design approaches that expand domain coverage and support reliable model performance across a wide range of user scenarios. • Build, organize, and enhance large-scale datasets, including generating synthetic examples when they add value to model learning. • Review model responses, investigate failure patterns, and adjust training content to close knowledge gaps and improve output quality. • Establish reusable frameworks, taxonomies, and teaching methods for introducing new concepts, schemas, and specialized domains to AI systems. • Create benchmark datasets and evaluation methods to measure reasoning quality, factual accuracy, coverage, and generalization. • Implement quality controls that detect inconsistency, ambiguity, imbalance, and missing information within training data collections. • Write and maintain Python-based tools to create, transform, validate, and manage training data efficiently at scale. • Refine model behavior to better align responses with customer expectations, domain expertise, and intended software functionality.
2026-11-02T00:00:00Z

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

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

Field Engineer

Mountainside, NJ
onsite
Permanent / Full Time
95000 - 115000 USD / Yearly
We are looking for a Field Engineer to support customers, internal sales teams, and service partners by providing practical technical expertise that strengthens product adoption and long-term account growth. This role focuses on evaluating fluid system applications, recommending effective solutions, and helping customers improve reliability and performance. Based in Mountainside, New Jersey, the position also partners with cross-functional teams to advance custom solution opportunities and contribute technical insight to strategic initiatives. Responsibilities:• Build demand for priority products and service offerings by aligning technical recommendations with customer application needs.• Serve as a technical resource for installed systems, including issue review, return support, troubleshooting guidance, and field-based problem resolution.• Assess customer fluid systems, identify performance or efficiency gaps, and document findings with solution-focused recommendations.• Support customers with engineering-related assistance such as maintenance guidance, system adjustments, and application troubleshooting.• Create and deliver tailored technical presentations that address customer challenges and demonstrate the value of proposed solutions.• Partner with sales and customers to identify custom fabrication opportunities, including development of drawings, quotes, and P&ID documentation.• Recommend appropriate products for specific operating environments and application requirements.• Provide technical training and application support to internal teams and customers on product use and best practices.• Work closely with peer engineers and business partners to share knowledge, refine solutions, and support broader marketing or operational initiatives. Benefits:<ul><li>Medical</li><li>Vision</li><li>Dental</li><li>401K</li><li>PTO</li></ul>
2026-10-22T00:00:00Z

AI Consultant

Atlanta, GA
onsite
Temporary / Contract
75 - 90 USD / Hourly
For our client, we are seeking an AI Consultant to help design, develop, and implement artificial intelligence solutions that improve operational efficiency, automate business processes, and support data-driven decision-making. This individual will work closely with technical teams and business leaders to identify AI opportunities and deliver scalable solutions using modern AI technologies.
2026-10-23T00:00:00Z

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