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Ai Platform Engineer Jobs (NOW HIRING)

Gormat

SETA AI Platform Engineer

Annapolis Junction, MD · On-site

$191K - $206K/yr

We are seeking an amazingly talented SETA AI Platform Engineer to join our team! In this role you will get to advise and support the design, integration, and maturation of AI-enabling infrastructure ...

GDIT

AI Platform Engineer

Concord, NC · Hybrid

$127K - $172K/yr

Yes MEANINGFUL WORK AND PERSONAL IMPACT As an AI Platform Engineer (LLM & MLOps) , the work you'll do at GDIT will be impactful to the mission of USCENTCOM. You will play a crucial role in the design ...

Bloomerang

AI Platform Engineer

$1K/wk

The Role As an AI Platform Engineer within our System Administration team, you will design and build the internal AI platform that every Bloomerang employee uses to do their best work. This role isn ...

Expedient

AI Platform Engineer

Cleveland, OH · On-site

$125K - $150K/yr

Deep AI expertise isn't required--bring your mastery of Kubernetes, Elastic Stack, and cloud ... Experience : 5+ years in DevOps, SRE, or cloud platform engineering with production-scale ...

Aramark

AI Platform Engineer

Philadelphia, PA · Hybrid

We are seeking a highly motivated mid-level Software Engineer with experience or strong interest in AI-enabled platforms/products. This role is primarily focused on hands-on development, while ...

Expedient

AI Platform Engineer

Cleveland, OH · On-site

$125K - $150K/yr

Deep AI expertise isn't required-bring your mastery of Kubernetes, Elastic Stack, and cloud ... Experience : 5+ years in DevOps, SRE, or cloud platform engineering with production-scale ...

Expedient

AI Platform Engineer

Cleveland, OH

$100K - $150K/yr

Deep AI expertise isn't required--bring your mastery of Kubernetes, Elastic Stack, and cloud ... Experience: 5+ years in DevOps, SRE, or cloud platform engineering with production-scale ...

Capgroup

AI Platform Engineer IV

Charlotte, NC · On-site

Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as an AI Platform Engineer at Capital Group." As an AI Platform Engineer ...

Aramark

AI Platform Engineer

Philadelphia, PA · On-site

We are seeking a highly motivated mid-level Software Engineer with experience or strong interest in AI-enabled platforms/products. This role is primarily focused on hands-on development, while ...

Aramark

AI Platform Engineer

Philadelphia, PA · Hybrid

We are seeking a highly motivated mid-level Software Engineer with experience or strong interest in AI-enabled platforms/products. This role is primarily focused on hands-on development, while ...

X Energy LLC

AI Platform Engineer

Rockville, MD · On-site

This role is responsible for designing, implementing, and maintaining the cloud infrastructure and CI/CD systems that power X-energy's AI-native application platform (APEX). The DevOps Engineer will ...

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Ai Platform Engineer information

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How much do ai platform engineer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for ai platform engineer in the United States is $63.95, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $73.80 per hour, depending on experience, location, and employer.

What are AI Platform Engineers?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.
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Ai Platform Engineer jobs near you

SETA AI Platform Engineer

Gormat

Annapolis Junction, MD • On-site

$191K - $206K/yr

Full-time

Posted 7 days ago

Job description

We are seeking an amazingly talented SETA AI Platform Engineer to join our team! In this role you will get to advise and support the design, integration, and maturation of AI-enabling infrastructure across mission-focused environments. This role is ideal for a technically strong engineer who understands how to stand up, assess, and guide modern AI platforms in secure government settings, with particular familiarity in cloud and enterprise ecosystems such as Microsoft Azure and Amazon Web Services (AWS).​

The ideal candidate is not just technically capable, but deeply curious, self-motivated, and passionate about AI. We are looking for someone who continuously learns, experiments, and stays current with emerging tools, architectures, and best practices-even outside formal work requirements. This person should bring both engineering judgment and an enthusiasm for helping government teams adopt AI platforms in a practical, secure, and mission-aligned way.

What You'll Be Doing:

  • Provide SETA support to government leadership and technical teams on AI platform architecture, integration, and sustainment.
  • Advise on the design and evaluation of AI/ML platform environments across cloud, hybrid, and enterprise deployments.
  • Support platform decisions involving Azure, AWS, Microsoft enterprise services, containerized environments, data pipelines, model hosting, and secure access patterns.
  • Assess platform readiness for AI workloads, including compute, storage, networking, identity, security, observability, and scalability considerations.
  • Help evaluate vendor offerings, reference architectures, technical tradeoffs, and implementation approaches.
  • Support the development of technical documentation, architecture artifacts, white papers, decision briefings, and executive summaries.
  • Coordinate with program managers, engineers, mission stakeholders, cybersecurity teams, and external partners to keep platform efforts aligned with mission outcomes.
  • Identify integration risks, technical gaps, and dependencies, and recommend practical mitigation strategies.
  • Assist with transition planning from prototype or pilot efforts into sustainable operational capability.
  • Educate stakeholders on AI platform concepts, emerging patterns, and implementation best practices in government environments.

What Required Skills You'll Bring:

  • Min 12 years with Bachelors, 10 years with Masters degree in Computer Science, Engineering, Information Systems, or related field.
  • Experience supporting AI/ML, data, cloud, or platform engineering efforts in government, defense, or enterprise environments.
  • Demonstrated familiarity with Microsoft and/or AWS platform ecosystems.
  • Working knowledge of cloud architecture, containers, APIs, data services, identity/access management, and secure system integration.
  • Ability to understand how AI applications depend on underlying platform components such as model hosting, pipelines, storage, orchestration, and monitoring.
  • Ability to understand how AI applications depend on underlying platform components such as model hosting, pipelines, storage, orchestration, and monitoring.
  • Strong written and verbal communication skills.
  • Naturally curious and energized by learning new technologies.
  • Builds, tests, and explores tools independently.
  • Passionate about AI and platform modernization.
  • Comfortable operating in ambiguous environments and helping teams find a path forward.
  • Able to translate complex technical issues into actionable guidance for mixed technical and non-technical audiences.
  • Mission-oriented, collaborative, and proactive.

What Desired Skills You'll Bring:

  • Experience with Azure AI services, AWS AI/ML services, Kubernetes, Docker, MLOps, DevSecOps, Infrastructure as Code, or platform observability tools.
  • Familiarity with secure government cloud environments and cross-domain or restricted operational architectures.
  • Understanding of AI governance, responsible AI, model lifecycle support, and platform security considerations.
  • Experience supporting DoD, IC, or cyber mission organizations.
  • Relevant certifications in cloud, systems engineering, cybersecurity, or platform operations.

TS/SCI with polygraph is required.


Job Posted by ApplicantPro