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191 results for Cloud Engineer jobs

Platform Engineer - SAP H4/HANA-Public Cloud

Des Moines, IA
remote
Permanent / Full Time
120000 - 150000 USD / Yearly
Position: Platform Engineer - SAP S/4 HANA Public CloudLocation: RemoteSalary: $120,000 - $150,000 base + bonus + excellent benefits Join a High-Impact SAP S/4HANA Public Cloud TransformationWe’re partnering with a growing enterprise undergoing a full transformation from a 30+ year legacy ERP to SAP S/4HANA Public Cloud. This is a greenfield, high-visibility role where you’ll own the environment post go-live and play a critical role in long-term success.This is not an ECC role.SAP S/4HANA Public Cloud experience is required.Candidates without SAP Public Cloud experience will not be considered. What You’ll Own<ul><li>SAP S/4HANA Public Cloud administration across multiple tenants (Dev/Test/Prod)</li><li>Identity & Access Management (IAM) using IAS/CIS (not SU01)</li><li>Transport & Change Management (sequencing, governance, risk mitigation)</li><li>Landscape / tenant administration within SAP Public Cloud</li><li>Security design including role catalogs and FUE licensing optimization</li></ul>What Makes You a Fit<ul><li>Proven, hands-on SAP S/4HANA Public Cloud experience (must have)</li><li>Strong background in:</li><li>IAM (IAS, IPS, SSO, provisioning workflows)</li><li>Multi-tenant SAP Public Cloud environments</li><li>Transport management and release sequencing</li><li>Experience supporting go-live or post-go-live environments</li><li>Strong communication skills in a fast-paced, transformation-driven environment</li></ul> Not a Fit If You Have<ul><li>SAP ECC or on-prem experience only</li><li>No exposure to SAP S/4HANA Public Cloud</li><li>Primarily functional or analyst background</li></ul> Why This Role Stands Out<ul><li>Greenfield SAP S/4HANA Public Cloud implementation</li><li>Direct partnership with SAP Services</li><li>Highly visible role as the technical right hand to leadership</li><li>Enterprise scale with a startup-like transformation environment</li><li>Long-term ownership post go-live</li></ul>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-06-22T00:00:00Z

SAN Engineer

Washington, DC
onsite
Temporary / Contract
47 - 52 USD / Hourly
Network Storage Engineer – SAN / Cisco MDS / NexusLocation: Washington, DC 20549Work Arrangement: Full OnsiteClearance Requirement: Ability to obtain and maintain Public Trust Position OverviewWe are seeking a highly experienced Network Storage Engineer to support enterprise SAN infrastructure and mission-critical storage network operations within a complex federal environment in Washington, DC. This role is responsible for maintaining secure, reliable, and high-performing SAN connectivity across enterprise storage, virtualization, replication, and backup environments. The ideal candidate brings deep expertise in Cisco MDS, Cisco Nexus, SAN administration, and data center operations, along with strong troubleshooting and operational support experience in highly available enterprise environments.eKey ResponsibilitiesSAN Fabric Administration & Engineering<ul><li>Administer and maintain enterprise SAN fabric infrastructure using Cisco MDS and Cisco Nexus platforms</li><li>Configure, deploy, and support SAN connectivity across enterprise storage systems</li><li>Execute SAN-related moves, adds, and changes in accordance with approved change control processes</li><li>Maintain SAN standards, configurations, topology diagrams, and operational documentation</li></ul>Connectivity & Performance Operations<ul><li>Manage SAN connectivity supporting:</li><li>Enterprise storage</li><li>Virtualization platforms</li><li>Replication services</li><li>Backup and recovery operations</li><li>Monitor SAN network health, availability, and performance</li><li>Perform capacity planning and performance tuning activities</li><li>Produce operational and performance reporting as required</li></ul>Incident Management & Troubleshooting<ul><li>Troubleshoot SAN connectivity and performance issues across enterprise environments</li><li>Coordinate incident response and escalations with storage, server, and vendor teams</li><li>Conduct root cause analysis and implement corrective actions</li><li>Participate in operational surge support and on-call response activities</li></ul>Compliance & Operational Readiness<ul><li>Ensure SAN operations align with enterprise security and compliance standards</li><li>Support disaster recovery and continuity objectives</li><li>Maintain audit-ready SOPs, implementation records, and infrastructure documentation</li><li>Collaborate with enterprise infrastructure and operations teams for integrated support</li></ul>
2026-06-29T00:00:00Z

Network Engineer I

Dallas, TX
onsite
Temporary / Contract
41 - 46 USD / Hourly
Robert Half has a client in the Manufacturing industry seeking a Network Engineer. The ideal candidate for this position would have experience in small to enterprise environments and over at least 2 years of hands-on experience. This will be a temporary to full time opportunity that will be fully onsite.<ul><li>Manage layer 2/3 devices on the OSI</li><li>Support and troubleshoot Cisco Meraki wireless equipment, Cisco ASA Firewall, and Remote Access VPN platforms</li><li>Liaise with vendor support to manage maintenance planning and implementation (reactive and proactive) to minimize service disruption for Network Services</li><li>Deliver Network infrastructure development / build activities (managed by Project Managers), including release and deployment management for new services</li><li>Create and maintain operational and procedural documentation and escalation processes to ensure adherence to Network SLAs</li></ul>
2026-07-02T00:00:00Z

Software Engineer / Data Engineer

New York, NY
onsite
Permanent / Full Time
200000 - 225000 USD / Yearly
We are looking for a Software Engineer / Data Engineer to build and enhance internal platforms that support research, analytics, and investment workflows in New York, New York. This role combines product-minded software development with data engineering, giving you the opportunity to create scalable applications, shape technical architecture, and improve how teams access and use information. You will work closely with analysts and data specialists to turn complex needs into reliable tools that streamline decision-making and expand internal AI capabilities. Responsibilities: • Create and support internal applications, including dashboards, research platforms, and workflow solutions that improve day-to-day productivity across the firm. • Develop and maintain AI-enabled internal systems such as application services, knowledge retrieval capabilities, agent-based tools, and monitoring frameworks for performance and quality. • Collaborate with investment professionals and data science teams to convert research processes into stable, user-focused software products. • Define technical direction for new systems, selecting appropriate architecture and establishing engineering standards that can scale with future development. • Build backend services and data pipelines using Python, PySpark, and Databricks to support analytics, automation, and application functionality. • Contribute to frontend experiences for internal users with modern web technologies such as Next.js, React, and interactive visualization tools. • Design solutions that connect APIs, user interfaces, data storage, and cloud infrastructure into cohesive, maintainable platforms.
2026-06-16T00:00:00Z

AI Engineer

San Francisco, CA
onsite
Permanent / Full Time
220000 - 260000 USD / Yearly
We are looking for an experienced Artificial Intelligence (AI) Engineer to establish and lead a secure, scalable internal AI platform in San Francisco, California. This role will shape the technical foundation for enterprise AI adoption by creating development standards, deployment practices, and governance controls that support reliable use across the organization. The position works closely with technology, security, and business teams to help both technical and non-technical users build, launch, and manage AI-powered solutions responsibly. Responsibilities: • Design, implement, and support the organization’s internal AI platform, with a primary focus on Azure-based environments, tools, and supporting infrastructure. • Create and manage automated delivery workflows for AI applications, ensuring code is tested, versioned, and promoted through environments efficiently. • Establish policies and technical controls that guide secure, compliant, and responsible use of AI across enterprise teams. • Enable developers and business users to create AI-driven solutions by providing practical frameworks, tooling, and support for modern AI-assisted development environments. • Lead the release and production rollout of AI solutions, overseeing readiness, deployment standards, and operational stability. • Work closely with IT, security, and business stakeholders to encourage adoption, clarify proper usage, and align AI capabilities with organizational needs. • Maintain platform health by managing access controls, monitoring performance, and improving development standards for scalable AI delivery. • Coordinate with external consultants and partners to help execute AI initiatives and advance the broader platform roadmap. • Produce clear documentation for workflows, technical standards, and best practices to support continued growth in enterprise AI usage.
2026-06-23T00:00:00Z

Security Data Engineer

Costa Mesa, CA
remote
Temporary to Hire
60 - 65 USD / Hourly
We are looking for a Security Data Engineer to join our team in Costa Mesa, California in a contract capacity with the potential for a permanent role. This position is focused on advancing a well-established data lake environment by strengthening the ingestion layer, expanding connectivity to additional systems, and ensuring reliable movement of security-relevant data. The person in this role will take ownership of pipeline operations, partner with internal system stakeholders to enable access, and help keep incoming data accurate, timely, and usable for downstream needs. Responsibilities: • Take ownership of the data ingestion layer for an existing data lake, ensuring steady performance and dependable delivery of incoming datasets. • Reduce a defined backlog of pipeline work during the first 90 days by building and activating prioritized ingestion workflows. • Assume responsibility for pipeline components transitioned from the lead engineer and continue their operational support without disrupting established foundations. • Support and improve current ETL processes by monitoring health, resolving failures, and extending coverage where needed. • Integrate new source systems, including platforms such as Rippling and Workday, into the broader data ecosystem. • Coordinate with internal application and system owners to identify data sources, secure appropriate access, and obtain logs or source records required for ingestion. • Apply data cleaning and analysis practices to improve data quality and maintain consistency across inbound datasets. • Contribute to infrastructure and deployment workflows using AWS, AWS CDK, Infrastructure as Code, and CI/CD practices to support scalable pipeline operations.
2026-06-29T00:00:00Z

Enterprise Architect

New Braunfels, TX
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
We are looking for an experienced Enterprise Architect to join our team in New Braunfels, Texas. In this role, you will be responsible for designing and maintaining enterprise-level technical architectures, ensuring scalability, security, and alignment with organizational objectives. This position offers an opportunity to collaborate with stakeholders and technical teams to create unified solutions that drive growth and innovation. Responsibilities: • Define and manage enterprise-wide technical architectures, including cloud platforms, integrations, data systems, and applications. • Create scalable and secure solutions utilizing Oracle Cloud, Oracle Fusion, and other utility platforms. • Develop technology roadmaps, integration strategies, and reference architectures to support organizational growth. • Collaborate with stakeholders to establish and execute strategic architectural roadmaps. • Leverage Oracle native services and AWS capabilities to design resilient and efficient solutions. • Set integration strategies for cloud applications, enterprise systems, and operational technologies. • Establish architectural standards, design principles, and governance practices to enhance standardization and compliance. • Provide oversight on solution designs developed by internal teams or external vendors. • Evaluate architectural risks and align strategies to support portfolio planning and modernization. • Mentor technical teams to enhance architecture literacy and alignment across projects.
2026-06-15T00:00:00Z

Sr DevOps Engineer

San Francisco, CA
onsite
Temporary / Contract
75 - 85 USD / Hourly
We are looking for a Sr. DevOps Engineer to help strengthen and scale a cloud-based platform in San Francisco, California. This opportunity is ideal for a senior engineer who can improve infrastructure performance, streamline delivery processes, and support production systems in a hybrid work environment. The role partners closely with engineering teams to build dependable deployment practices, enhance platform visibility, and maintain stable operations across modern cloud services. This is a contract to permanent opportunity and requires 2 days a week on site. Responsibilities: • Develop, manage, and optimize cloud infrastructure that supports the company's live SaaS environment. • Create and maintain delivery pipelines for application services and machine learning workloads to enable efficient releases. • Oversee deployments across serverless components and container-based applications while ensuring consistency and reliability.• Administer and support a PostgreSQL data environment, including performance, availability, and operational upkeep. • Strengthen system dependability by improving monitoring, alerting, logging, and overall platform observability. • Automate provisioning and release processes through infrastructure-as-code practices using tools such as Terraform. • Collaborate with backend and machine learning teams to address infrastructure needs and enable smooth deployment workflows. • Participate in production support activities, including incident response and an on-call rotation. • Contribute to operational improvements that reduce manual effort and increase platform stability over time.
2026-07-01T00:00:00Z

Network Architect

Brunswick, GA
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for an experienced Network Architect to lead the design and implementation of advanced network solutions in Brunswick, Georgia. This position involves shaping high-performing, scalable, and resilient infrastructures while ensuring optimal connectivity and service delivery. As a Contract to permanent opportunity, this role offers the chance to make a significant impact while contributing to the growth of a carrier-grade network. Responsibilities: • Design and implement network architectures, including routing, switching, and redundancy, to support scalable Layer 3 services and robust backbone connectivity. • Develop strategies for Layer 2 transport delivery to residential communities, establishing standards for aggregation, handoff, and service demarcation. • Oversee routing and resiliency planning, including peering strategies, traffic engineering, and readiness for future technologies. • Manage IPv4/IPv6 transition planning, defining capacity models and ensuring performance benchmarks are met. • Create and maintain detailed engineering documentation, including diagrams, operational procedures, and methods of procedure (MOPs). • Mentor Network Engineers and collaborate with vendors to ensure effective deployment of Juniper, Nokia, and Calix platforms. • Provide leadership during major incidents and planned maintenance activities, including on-call support. • Establish and enforce disciplined change management practices for network operations.
2026-06-26T00:00:00Z

Network Architect

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking an experienced Network Architect to lead the design, implementation, and long-term strategy of a large-scale, carrier-grade network environment. This individual will be responsible for architecting highly available, scalable, and secure network infrastructure while serving as a technical leader for routing, switching, backbone connectivity, and network resiliency.Responsibilities<ul><li>Design and maintain enterprise and carrier-grade network architectures</li><li>Lead routing and switching strategies, including BGP, OSPF, and Layer 2/Layer 3 networking</li><li>Architect highly available and scalable network solutions</li><li>Develop standards for network performance, redundancy, and security</li><li>Participate in network modernization initiatives and infrastructure upgrades</li><li>Create and maintain network diagrams, procedures, and technical documentation</li><li>Collaborate with infrastructure, security, and operations teams</li><li>Mentor engineers and provide technical leadership on complex projects</li><li>Support critical incidents, maintenance activities, and root cause analysis</li></ul>
2026-07-08T00:00:00Z

DevOps Engineer (Mobile First)

Kansas City, MO
remote
Permanent / Full Time
0 - 0 USD / Yearly
Position: DevOps Engineer (Mobile-First)Location: Remote - Full Time | Direct HireSalary: $120,000-149,000 base annual salary + bonus + excellent benefits*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. *** Build It. Ship It. Scale It.This is not a maintenance DevOps role.We’re building a brand‑new, mobile‑first digital platform inside a well‑established enterprise — and we’re doing it the right way from day one. If you thrive in ambiguity, like shipping real product, and want to work alongside a Senior DevOps Engineer who is setting a very high technical bar, this role is for you.You’ll work closely with a rockstar Senior DevOps Engineer to design, build, and evolve modern cloud infrastructure that empowers product engineers to move fast without breaking things. This is a hands‑on role where you’ll have real ownership, not tickets and red tape. What You’ll Work On• Build and maintain fast, reliable CI/CD pipelines that support frequent releases• Help stand up and evolve AWS‑based infrastructure using Infrastructure as Code (Terraform / CloudFormation)• Partner with engineers to enable developer self‑service and remove bottlenecks• Support containerized workloads (Docker, Kubernetes) with a pragmatic, “don’t‑over‑engineer” mindset• Implement monitoring, logging, and alerting to improve visibility and reliability• Contribute to security‑first pipelines — vulnerability scanning, guardrails, and best practices• Participate in incident response, root cause analysis, and continuous improvement• Document standards, patterns, and lessons learned as the platform matures The Environment You’re Joining• Remote‑first, tight‑knit product and engineering team• Startup‑like pace with strong executive backing• Greenfield digital platform integrating multiple business domains• Mobile‑first mindset with real users and real scale• Engineering culture that values ownership, clarity, and collaboration What We’re Looking For• 3+ years of experience in DevOps, SRE, or infrastructure engineering• Hands‑on experience with AWS (EC2, ECS/EKS, Lambda, S3, CloudWatch, IAM)• CI/CD experience with tools like GitHub Actions, Jenkins, or similar• Familiarity with Infrastructure as Code (Terraform and/or CloudFormation)• Exposure to containers and orchestration (Docker, Kubernetes)• Scripting skills (Bash, Python, or similar)• Foundational understanding of networking, security, and system administration• Comfortable working in fast‑moving, ambiguous environments If you’re a builder, not a button‑pusher — and you want to grow into a senior‑level DevOps engineer while shipping real product — this is a rare opportunity.
2026-07-03T00:00:00Z

Infrastructure Support Engineer

Cheviot Hills, CA
onsite
Permanent / Full Time
115000 - 125000 USD / Yearly
IT Generalist / Systems & Network Engineer (Onsite – Beverly Hills Area) A growing boutique IT consulting firm is seeking a highly skilled IT Generalist to provide white-glove technology support for a high-profile client in the Beverly Hills area. This role is ideal for a well-rounded technical professional who thrives in fast-paced environments, enjoys direct client interaction, and can confidently manage systems, networks, and end-user support. This position is fully onsite and requires a consultative, customer-focused mindset. The ideal candidate is equally comfortable troubleshooting executive-level workstation issues, managing cloud platforms, and designing network solutions.Candidates with experience in Managed Service Provider (MSP) environments or those who have served as the primary IT resource for an organization are highly encouraged to apply. Key Objectives<ul><li>Provide efficient, thorough support for a dynamic client environment.</li><li>Maintain critical IT systems, including workstations, security tools, SaaS applications, file services, email platforms, networking equipment, and server infrastructure.</li><li>Implement and maintain backup, security, and business continuity solutions.</li><li>Automate repetitive tasks and leverage technology to improve operational efficiency.</li><li>Assess existing technology environments and proactively identify improvements.</li><li>Collaborate directly with business stakeholders to understand needs and deliver effective solutions.</li><li>Contribute to a team culture focused on knowledge sharing and continuous improvement.</li></ul>Responsibilities<ul><li>Resolve advanced desktop and end-user support issues across Windows and macOS environments.</li><li>Manage user accounts and permissions across cloud services and business applications.</li><li>Architect, deploy, and troubleshoot network infrastructure, including routers, switches, wireless systems, and firewalls.</li><li>Build and maintain strong relationships with client stakeholders.</li><li>Coordinate with third-party vendors and oversee technical implementations.</li><li>Create and maintain clear technical documentation.</li><li>Support identity and access management initiatives.</li><li>Assist with endpoint management and device deployment strategies.</li></ul> Ideal Candidate Profile You are a technology generalist who enjoys solving complex problems, working directly with people, and taking ownership of environments from endpoint to infrastructure. You can seamlessly transition between desktop support, systems administration, cloud services, networking, and project work while maintaining a professional, customer-first approach. For immediate consideration, direct message Reid Gormly on LinkedIn and Apply now!
2026-06-16T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
180000 - 210000 USD / Yearly
We are looking for a Machine Learning Engineer to build and support production-ready AI systems in Los Angeles, California. This position focuses on creating reliable machine learning infrastructure, enabling scalable model operations, and advancing generative AI solutions that improve access to business-critical information. The ideal candidate will combine strong platform engineering skills with hands-on experience deploying models, automating workflows, and maintaining high standards for quality, governance, and performance. Responsibilities: • Build and maintain scalable machine learning infrastructure in Databricks, including experiment tracking, model management, and serving capabilities for production use. • Create and improve MLOps frameworks and automated deployment pipelines that support model release, monitoring, and lifecycle management. • Establish disciplined processes for model version control, retraining, and artifact governance using tools such as Unity Catalog. • Develop and administer a feature store strategy that keeps training and inference data consistent across machine learning workflows. • Design retrieval-augmented generation solutions that allow internal teams to search and interact with documents such as fund materials, investor communications, and research content. • Implement and manage vector search platforms to support semantic retrieval across large collections of enterprise documents. • Customize and fine-tune large language models using proprietary datasets while protecting data privacy and meeting compliance expectations. • Build document ingestion and transformation pipelines that handle parsing, segmentation, and embedding creation for generative AI applications. • Introduce prompt design standards, evaluation methods, and application safeguards to improve response quality, reduce hallucinations, and provide source-backed outputs. • Automate training, testing, orchestration, and deployment workflows through CI/CD pipelines and tools such as Databricks Workflows, GitHub Actions, Azure DevOps, Airflow, or Prefect.
2026-06-11T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 260000 USD / Yearly
RESPONSIBILITIES: ML Model Deployment & Platform Management • Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints. • Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments. • Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance. • Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines. Generative AI & LLM Operations • Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. • Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents. • Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance. • Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications. • Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy. • Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution. Automation & CI/CD Pipelines • Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles. • Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools. • Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
2026-06-11T00:00:00Z

Automation Engineer

Olyphant, PA
onsite
Permanent / Full Time
80000 - 90000 USD / Yearly
We are looking for an Automation Engineer to support manufacturing performance through reliable control systems, equipment optimization, and hands-on technical problem-solving. This role is based in Olyphant, Pennsylvania and focuses on improving uptime, efficiency, and process consistency across automated production operations. The ideal candidate will bring strong experience with industrial automation technologies and a practical approach to troubleshooting, testing, and continuous improvement. Responsibilities: • Install, oversee, and sustain automation equipment, system software, and related applications to support production goals and key operational metrics. • Diagnose issues within automated manufacturing environments and provide technical support for controls, production lines, and robotic equipment. • Program, adjust, and maintain PLC-based control systems, including work involving Allen-Bradley platforms. • Identify needed spare components and service coverage, then coordinate sourcing decisions to maintain equipment reliability. • Review automation and equipment solutions across manufacturing areas and recommend technologies that improve performance and maintainability. • Test newly developed or updated software to confirm proper operation, compliance with user needs, and alignment with established standards. • Support ongoing enhancements to manufacturing processes by analyzing system behavior and implementing effective automation improvements.
2026-07-09T00:00:00Z

Data Scientist

New York, NY
onsite
Permanent / Full Time
200000 - 225000 USD / Yearly
We are looking for a Data Scientist to join a fast-paced investment environment in New York, New York, where data-driven insight plays a central role in research and decision-making. This position will focus on turning complex datasets into practical analysis, scalable tools, and clear intelligence that support investment ideas. The ideal candidate brings strong technical depth, sound statistical judgment, and the ability to shape loosely defined questions into structured, repeatable research. Responsibilities: • Work closely with investment professionals to create quantitative studies, analytical frameworks, and practical tools that strengthen fundamental research workflows. • Identify promising alternative data sources, assess their relevance and quality, and support their integration into the research process. • Design and execute backtests, predictive models, and exploratory investigations to evaluate and refine investment hypotheses. • Produce and maintain analyst-facing dashboards and reporting views within internal analytics environments. • Convert one-off research requests into repeatable, clearly documented analyses that can be reused and scaled over time. • Partner with engineering teams to define data needs, support ingestion processes, and improve dataset availability for research use.
2026-06-16T00:00:00Z

Data Scientist

Palo Alto, CA
onsite
Temporary / Contract
95 - 100 USD / Hourly
We are looking for a Data Scientist to support AI and machine learning initiatives that advance patient care, research, and operational decision-making in Palo Alto, California. This is a Contract position focused on turning healthcare data into practical, high-impact solutions through model development, validation, and deployment. The role works closely with clinical, research, and operational partners to translate complex problems into scalable analytical approaches while maintaining strong standards for quality, fairness, and performance. Responsibilities: • Create, implement, and support AI- and ML-driven workflows that improve clinical, research, and administrative processes. • Partner with cross-functional stakeholders to define analytical needs and deliver data science solutions aligned with healthcare use cases. • Assess and refine tools, platforms, and methods used to manage model development, deployment, and ongoing lifecycle activities. • Train, test, and validate internally developed or externally sourced machine learning models using hospital data and established quality controls. • Perform bias reviews and model performance checks to help ensure responsible and reliable use of predictive algorithms. • Analyze large-scale healthcare datasets using Python, R, SQL, and cloud-based or distributed computing environments. • Work alongside clinicians and researchers to adapt analytical methods for real-world use in care delivery and related settings.
2026-06-23T00:00:00Z

DevOps Engineering Manager

Fort Washington, PA
remote
Permanent / Full Time
170000 - 190000 USD / Yearly
We are looking for an experienced DevOps Engineering Manager to lead platform and automation efforts in Fort Washington, Pennsylvania. This role will guide a team responsible for improving software delivery, strengthening infrastructure reliability, and advancing cloud operations across modern engineering environments. The ideal candidate brings a blend of people leadership and technical depth, with the ability to shape DevOps practices that support scalable, secure, and efficient product delivery. Responsibilities: • Guide and develop a DevOps team by promoting ownership, continuous learning, and strong engineering practices across day-to-day operations. • Create and implement a plan to elevate operational capabilities, helping team members grow into modern DevOps-focused roles. • Work closely with engineering, product, and business leaders to align platform investments with delivery objectives and organizational priorities. • Establish and advance DevOps standards across continuous integration, deployment automation, observability, reliability, and security practices. • Design, enhance, and scale CI/CD pipelines to support dependable, repeatable, and efficient software releases across multiple teams. • Lead the adoption of infrastructure as code using tools such as Terraform, Ansible, CloudFormation, Terragrunt, or Bicep to improve consistency and governance. • Oversee cloud infrastructure strategy across Azure and AWS, ensuring environments are secure, resilient, and capable of supporting high-traffic digital experiences. • Define and monitor operational and delivery metrics to improve deployment performance, system uptime, incident response, and overall engineering efficiency. • Drive cloud cost awareness and optimization efforts by partnering with finance and technical stakeholders to improve visibility and resource utilization. • Strengthen production readiness through effective monitoring, alerting, incident management, and the integration of DevSecOps principles into pipelines and infrastructure.
2026-07-09T00:00:00Z

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>
2026-06-26T00:00:00Z

Artificial Intelligence (AI) Engineer

West Palm Beach, FL
onsite
Permanent / Full Time
180000 - 220000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create and scale enterprise AI solutions in West Palm Beach, Florida. This role focuses on building production-ready applications and shared AI services across cloud environments, with an emphasis on reliability, security, and measurable business value. The ideal candidate will combine strong engineering expertise with practical experience in large language models, automation, and system integration to advance research, knowledge management, and operational efficiency. Responsibilities: • Create, implement, and launch enterprise AI applications using Amazon Web Services and related cloud technologies. • Develop scalable AI infrastructure with services such as Amazon Bedrock, SageMaker, EC2, S3, Lambda, API management tools, orchestration services, and monitoring platforms. • Architect AI environments that prioritize security, resilience, performance, and cost control for enterprise use cases. • Build and support reusable AI capabilities that can be adopted across multiple business applications and future informatics efforts. • Engineer solutions powered by large language models, retrieval-augmented generation, AI agents, and contemporary AI development frameworks. • Deliver intelligent assistants, enterprise and semantic search tools, knowledge management capabilities, and document understanding solutions. • Design AI-driven automation that improves workflows and streamlines day-to-day business operations. • Integrate AI platforms with Microsoft and enterprise technologies, including Azure OpenAI, Microsoft 365 Copilot, Copilot Studio, SharePoint Online, Microsoft Teams, and Microsoft Graph. • Develop APIs and connected services that link AI platforms with scientific applications, cloud ecosystems, and business systems. • Contribute to AI governance, lifecycle management, observability, and the evaluation of emerging technologies while helping define enterprise standards and best practices.
2026-07-08T00:00:00Z

Artificial Intelligence (AI) Engineer

Tampa, FL
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a skilled Artificial Intelligence (AI) Engineer to join our team in Tampa, Florida. This role offers the opportunity to design and implement innovative AI solutions while collaborating with cross-functional teams to drive impactful results. As a Contract to permanent position, this role provides a pathway to long-term growth and development within our organization. Responsibilities: • Build, train, and refine machine learning models using frameworks such as TensorFlow, PyTorch, Scikit-Learn, and Keras. • Integrate AI-driven solutions into existing on-premises applications to enhance functionality and performance. • Explore and experiment with large language models (LLMs) and agent-based coding tools to optimize internal automation and analytics workflows. • Process, engineer, and evaluate data from diverse internal sources, including structured and unstructured datasets. • Collaborate with teams across departments to ensure compliance with Criminal Justice Information Systems (CJIS) and Personally Identifiable Information (PII) standards. • Partner with analysts, investigators, and IT staff to identify opportunities where AI can provide operational improvements. • Participate in coding reviews and testing processes to ensure high-quality deliverables. • Stay updated on emerging AI technologies and prototype new tools while adhering to data governance standards. • Contribute to the continuous improvement of AI systems and processes by identifying areas for innovation and optimization.
2026-07-08T00:00:00Z

Artificial Intelligence (AI) Engineer

Atlanta, GA
onsite
Temporary / Contract
43.5385 - 55.25 USD / Hourly
We are looking for an Artificial Intelligence (AI) Engineer to create and expand advanced AI solutions that support real-world business applications in Atlanta, Georgia. This position is ideal for a hands-on engineer who can turn emerging AI concepts into reliable production systems, from intelligent workflows to scalable backend services. The role blends applied machine learning, large language model integration, and software engineering to deliver secure, high-performing tools in an enterprise setting. Responsibilities:• Design and develop AI-driven applications that combine machine learning models, large language models, and backend services for production use.• Create prompt frameworks, retrieval approaches, and context-handling strategies that improve the relevance and reliability of AI-generated outputs.• Build intelligent agents and automated workflows that support business processes and interact effectively with enterprise data sources.• Integrate tools such as TensorFlow, vector databases, and orchestration frameworks to support scalable AI and computer vision solutions.• Measure model and system effectiveness by monitoring accuracy, latency, stability, and overall operational performance.• Improve deployed solutions through performance tuning, cost optimization, and troubleshooting across cloud-based environments.• Collaborate with product, engineering, and user experience teams to deliver AI features that align with business goals and user needs.• Contribute reusable components, shared services, and engineering best practices that strengthen the broader AI platform.• Support detection and computer vision use cases where image-based analysis and machine learning capabilities are required.
2026-06-18T00:00:00Z

Artificial Intelligence (AI) Engineer

Oklahoma City, OK
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create and deliver intelligent applications that strengthen operations, streamline manual work, and support better business decisions. This contract opportunity with permanent potential is based in Oklahoma City, Oklahoma, and offers the chance to partner with technical teams and business leaders on practical AI solutions using machine learning, generative AI, and cloud-based services. The ideal candidate brings strong software engineering fundamentals along with hands-on experience building scalable AI products for real-world use. Responsibilities: • Build, test, and launch AI and machine learning solutions that are ready for production use and aligned with business goals. • Develop generative AI applications powered by large language models and adapt them to support enterprise needs. • Create retrieval-based AI experiences that connect language models with internal data sources and business systems. • Design agent-driven architectures and coordinated workflows that automate tasks across platforms and operational processes. • Develop APIs and backend components that enable reliable integration between AI capabilities and existing applications. • Work closely with stakeholders to evaluate opportunities, define priorities, and deliver high-impact AI initiatives. • Implement intelligent automation and decision-support tools that improve efficiency, reduce risk, and enhance day-to-day operations. • Monitor deployed AI solutions for quality, scalability, security, and performance while continuously refining outputs and user value. • Maintain documentation for solution design, implementation standards, and technical practices to support long-term adoption and supportability. • Research emerging AI frameworks, tools, and methods to identify innovations that can provide measurable organizational benefit.
2026-07-06T00:00:00Z

Artificial Intelligence (AI) Engineer

Atlanta, GA
onsite
Temporary to Hire
43.7 - 55.25 USD / Hourly
We are looking for an Artificial Intelligence (AI) Engineer to create advanced generative AI and agent-driven solutions in a cloud-native environment based in Atlanta, Georgia. This contract opportunity has the potential to become a permanent role and will involve designing, building, and deploying intelligent applications that improve business operations and connect seamlessly with enterprise platforms. The role spans the full development lifecycle, with a focus on scalable architecture, practical AI integration, and high-quality delivery in collaboration with cross-functional teams. Responsibilities: • Design and build AI applications that use Claude large language models to support business-focused automation and decision-making. • Create agent-based workflows, including orchestration logic, prompt patterns, and autonomous behaviors that enable reliable task execution. • Develop and implement Model Context Protocol-based agents or comparable agent frameworks within enterprise AI environments. • Connect AI solutions to internal and external platforms through APIs, ensuring secure and efficient access to business data. • Improve application performance by refining token usage, response quality, runtime efficiency, and overall operating cost. • Build backend services, utilities, and supporting components needed to power scalable AI products in production. • Partner with product leaders, technical teams, and business stakeholders to translate requirements into practical AI solutions. • Contribute to deployment planning, testing, and ongoing enhancement of cloud-based AI systems across distributed environments.
2026-06-18T00:00:00Z

Artificial Intelligence (AI) Engineer

Lake Forest, IL
onsite
Permanent / Full Time
150000 - 185000 USD / Yearly
We are looking for an experienced AI Program Manager to lead enterprise AI and automation initiatives in Lake Forest, Illinois. This role will shape the direction of a digital workforce program, identify high-impact use cases, and guide solutions from initial evaluation through deployment and ongoing optimization. The position partners closely with business stakeholders and technical teams to expand AI adoption, deliver measurable operational value, and assess emerging technologies that support long-term innovation. Responsibilities:• Direct the enterprise digital workforce program across intake, prioritization, solution governance, implementation oversight, change enablement, and platform support activities.• Partner with business leaders and technical teams to uncover automation and agentic AI opportunities that improve efficiency, reduce costs, and strengthen operational outcomes.• Design end-to-end AI and automation solution approaches using platforms such as Bedrock, Databricks, and other approved enterprise AI environments.• Evaluate the existing automation portfolio and determine whether solutions should be retired, redesigned, or rebuilt to align with modern AI capabilities.• Lead adoption efforts for tools such as Microsoft 365 Copilot and Claude Enterprise by creating enablement strategies, user education plans, and engagement programs.• Establish and grow a network of AI champions across the organization to encourage practical usage, increase confidence, and accelerate business adoption.• Monitor program performance through recurring reporting that tracks participation, outcomes, and business value tied to capacity gains, cost impact, and revenue contribution.• Research developing trends in AI and automation, assess enterprise applicability, and run structured pilots that inform future roadmap decisions.• Guide and mentor AI Solution Analysts by overseeing process assessments and ensuring documentation and design deliverables meet business and audit standards.
2026-07-06T00:00:00Z

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