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Ai Platform Engineer Jobs in Washington (NOW HIRING)

RSC2 is seeking an amazingly talented AI Platform Engineer to join our team in Hanover, MD! Requirements We are seeking an amazingly talented SETA AI Platform Engineer to join our team! In this role ...

AI Platform Engineer

Hanover, MD · On-site

$90K - $211K/yr

RSC2 is seeking an amazingly talented AI Platform Engineer to join our team in Hanover, MD! Requirements We are seeking an amazingly talented SETA AI Platform Engineer to join our team! In this role ...

AI Platform Engineer

Hanover, MD · On-site

$90K - $211K/yr

RSC2 is seeking an amazingly talented AI Platform Engineer to join our team in Hanover, MD! Requirements: We are seeking an amazingly talented SETA AI Platform Engineer to join our team! In this role ...

AI Platform Engineer

Mclean, VA · On-site

$125 - $185/hr

AI Platform Engineer Location: McLean, VA (Onsite 5 Days per Week) Employment Type: Full-Time Salary Range: $125,000 - $185,000 Clearance Required: Active TS/SCI with Counterintelligence Polygraph ...

New

Quevera is seeking a highly skilled AI Platform Engineer with an active TS/SCI clearance with Polygraph to support mission-critical programs in Northern Virginia . In this role, you will support the ...

... AI-native application platform (APEX). The DevOps Engineer will work with the AI and Application Development team to accelerate deployment velocity, ensure system reliability, and enable the rapid ...

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 ...

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 ...

Senior AI Platform Engineer

Arlington, VA · On-site

$120K - $165K/yr

Senior AI Platform Engineer Located: Arlington Summary The Senior AI Platform Engineer is responsible for building and operating the infrastructure that powers Venture Global's AI Engineering ...

New

AI Platform Engineer - Senior

Columbia, MD · On-site

$103K - $142K/yr

ARSIEM is looking for an amazingly talented Senior 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 ...

AI Platform Engineer - Senior

Columbia, MD · On-site

$102K - $141K/yr

ARSIEM is looking for an amazingly talented Senior 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 ...

AI Platform Engineer - Senior

Columbia, MD · On-site

$103K - $142K/yr

ARSIEM is looking for an amazingly talented Senior 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 ...

AI Platform Engineer - Senior

Columbia, MD · On-site

$101K - $139K/yr

They are looking for a Senior AI Platform Engineer to support the design, integration, and maturation of AI-enabling infrastructure across mission-focused environments. Responsibilities : • Provide ...

AI Platform Engineer - Senior

Columbia, MD · On-site

$103K - $142K/yr

ARSIEM is looking for an amazingly talented Senior 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 ...

AI Platform Engineer - Senior

Columbia, MD · On-site

$101K - $139K/yr

They are seeking a Senior AI Platform Engineer to advise and support the design, integration, and maturation of AI-enabling infrastructure across mission-focused environments. Responsibilities : • ...

AI Platform Engineer, Senior

Laurel, MD · On-site

$104K - $142K/yr

Booz Allen Hamilton is a leading provider of AI services to the nation, seeking an AI Platform Engineer to develop user-focused solutions that enhance organizational efficiency. The role involves ...

AI Platform Engineer, Senior

Laurel, MD · On-site

$104K - $142K/yr

Booz Allen Hamilton is the leading provider of AI services to the nation, and they are seeking a Senior AI Platform Engineer to develop solutions that enhance organizational efficiency. The role ...

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Ai Platform Engineer information

See Washington salary details

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How much do ai platform engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for ai platform engineer in Washington is $72.44, according to ZipRecruiter salary data. Most workers in this role earn between $57.16 and $83.61 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

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 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.

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.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

What are popular job titles related to Ai Platform Engineer jobs in Washington?

For Ai Platform Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Ai Platform Engineer jobs in Washington look for?

The top searched job categories for Ai Platform Engineer jobs in Washington are:

What cities in Washington are hiring for Ai Platform Engineer jobs?

Cities in Washington with the most Ai Platform Engineer job openings:

Infographic showing various Ai Platform Engineer job openings in Washington as of August 2026, with employment types broken down into 54% Full Time, 37% Part Time, 2% Temporary, and 7% Contract. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution, with an average salary of $150,665 per year, or $72.4 per hour.

$90K - $211K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Job description

Description

Founded in 2009, RSC2, Inc. is a Small Business Administration (SBA) Certified HUBZone Professional Services company headquartered in Baltimore, Maryland. RSC2 provides breakthrough expertise, support services, and technologies to make operations, programs and systems of record perform better. Our professional staff is trained to provide world-class services to all types of customers. We uphold the integrity and quality of our work so you can expect only the best from us.


RSC2 is seeking an amazingly talented AI Platform Engineer to join our team in Hanover, MD!


Requirements

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:

  • Active TS SCI w/Polygraph security clearance
  • 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.

Work Location: Hanover, MD

Employment Type: Full-time, Salary-Exempt 

Benefits Package: We offer a top tier benefits package which includes medical, dental, vision, PTO, employer matching retirement plan, and more! 


We are an equal opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. If you require a reasonable accommodation to participate in the application or interview process, please contact us at careers@rsc2.com. 


Salary at RSC2 is determined by various factors including but not limited to location, the particular combination of education, knowledge, skills, competencies, and experience as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $90,538-$211,187 (annualized USD). The estimate displayed represents the typical total compensation range for this position.



RSC2 logo

About RSC2

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

11 - 50 Employees

Headquarters location

Baltimore, MD, US

Year founded

2009

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