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Generative Ai Engineer Jobs in Washington (NOW HIRING)

Senior AI Solutions Architect, Generative AI

Reston, VA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Amentum is a global leader in advanced engineering and innovative technology solutions, trusted by ... The Senior AI Solutions Architect - Generative AI is the senior technical leader for the AI Center ...

The work AI Engineers build and operate systems that turn data, documents, models, and AI services ... generative AI, RAG, agents, computer vision, AI platforms, machine learning operations (MLOps ...

Senior AI Solutions Architect, Generative AI

Reston, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Amentum is a global leader in advanced engineering and innovative technology solutions, trusted by ... The Senior AI Solutions Architect - Generative AI is the senior technical leader for the AI Center ...

Generative AI & Machine Learning Engineer

Mclean, VA · On-site

$98K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role As a Generative AI and Machine Learning Engineer, you will be responsible for supporting product development efforts that range from generative AI and machine learning application ...

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies

* Use generative AI tools (LLM copilots, autonomous coding agents, AI test generators) as a core part of daily software engineering workflows * Demonstrate and share AI-enabled engineering techniques ...

New

AI Engineer

Rockville, MD · Remote

$140K/yr

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies

AI Engineer

Rockville, MD · On-site

$140K/yr

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies

Senior Agentic AI Engineer

Reston, VA · On-site

$127K - $168K/yr

Build Generative AI & Retrieval-Augmented Generation LLM Applications * Build LLM-powered ... Strong software engineering background with experience designing and deploying production-grade ...

New

Showing results 41-60

Generative Ai Engineer information

See Washington salary details

$43K

$131.2K

$216.9K

How much do generative ai engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for generative ai engineer in Washington is $131,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $171,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a generative AI engineer?

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What are the most commonly searched types of Generative Ai Engineer jobs in Washington?

The most popular types of Generative Ai Engineer jobs in Washington are:

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

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

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

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

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

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

Infographic showing various Generative Ai Engineer job openings in Washington as of August 2026, with employment types broken down into 74% Full Time, 21% Part Time, and 5% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $131,228 per year, or $63.1 per hour.

Senior AI Solutions Architect, Generative AI

Pae

Reston, VA • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

Amentum is a global leader in advanced engineering and innovative technology solutions, trusted by the United States and its allies to address their most significant and complex challenges in science, security and sustainability. Our people apply undaunted curiosity, relentless ambition and boundless imagination to challenge convention and drive progress. Our commitments are underpinned by the belief that safety, collaboration and well-being are integral to success. Headquartered in Chantilly, Virginia, we have approximately 50,000 employees in more than 70 countries across all 7 continents.

The Senior AI Solutions Architect - Generative AI is the senior technical leader for the AI Center of Excellence's (AI COE) Generative AI and large language model (LLM) architecture. The role translates Amentum's AI strategy into working capabilities - designing, prototyping, and deploying GenAI solutions that drive waves of pilots projects ("lighthouse") to delivery and seed reusable patterns.

This role is expected to operate as a senior technical lead for the COE's GenAI architecture and to grow into broader COE technical leadership responsibilities over the first 6-12 months. This role is Hybrid to our Reston, VA office and US Citizenship is required.

Key Outcomes

  • Architect and deploy GenAI components for lighthouse AI projects.

  • Stand up the COE's GenAI reference architecture (RAG, agent orchestration, model routing, evaluation, and guardrails) on Amentum's two-cloud posture (Azure Commercial for COE, Azure Gov for customer-mandated programs).

  • Evaluate and recommend GenAI tools, models, and platforms; lead vendor technical evaluation across the multi-vendor RFI process.

  • Grow into broader COE technical leadership responsibilities - including spoke-team technical mentorship and AI Advisory Council technical readiness - over the first 6-12 months.

Core Responsibilities
  • Design, develop, and deploy GenAI / LLM-based solutions to production for initial lighthouses, with measurable execution criteria.

  • Build and prototype AI applications that support enterprise, mission, and customer-facing use cases.

  • Work hands-on with foundation models, agent frameworks, RAG architectures, fine-tuning approaches, and evaluation harnesses.

  • Collaborate with the AI Solutions Architect - Programs & Delivery (peer role) on JANUS-tracked delivery and Council package preparation.

  • Integrate GenAI solutions into enterprise systems, mission workflows, and the AI platform under construction.

  • Contribute to the COE's reusable assets library, technical patterns, and AI engineering best practices - including responsible AI, model security, and governance.

  • Lead technical evaluation of vendor capabilities through the multi-vendor RFI and Forward Deployed Engineering engagements.

  • Mentor spoke-team technical leads and operating-group AI developers across the organization.

Knowledge, Skills and Abilities:

  • Senior technical judgment - ability to architect end-to-end AI systems with attention to performance, cost, security, and maintainability.

  • Track record of leading technical delivery in cross-functional environments.

  • Strong communicator - able to explain technical tradeoffs to executive and business audiences.

  • Comfortable in ambiguity; able to set technical direction and bring others along.

Minimum Requirements
  • Typically 8+ years of progressive experience in AI development, machine learning engineering, or applied AI; 3+ years hands-on with Generative AI / LLM systems with a Bachelor's degree in Computer Science, Engineering, Data Science, or related field. Master's or Ph.D. preferred.

  • Production experience deploying Generative AI / LLM applications, including RAG, agentic workflows, and tool-use patterns.

  • Hands-on AI/ML solution development across the full lifecycle - design, training/fine-tuning, evaluation, deployment, and monitoring.

  • Knowledge of AI frameworks (PyTorch, LangChain, LlamaIndex, Semantic Kernel, or equivalents) and foundation-model ecosystems (Azure OpenAI, AWS Bedrock, open-source).

  • Experience with AI pipelines, vector databases, and data engineering for AI workloads.

  • Cloud-native architecture experience on Azure (preferred), AWS, or GCP.

  • US Citizenship is required.

Preferred Qualifications
  • Experience deploying LLM-based applications in regulated or government environments.

  • Familiarity with Azure AI Foundry, Azure OpenAI Service, AWS Bedrock, and SageMaker.

  • Background in responsible AI, model risk management, NIST AI RMF, or EU AI Act categorization.

  • Experience with multi-vendor AI engagements, hyperscaler partner relationships, and Forward Deployed Engineering models.

  • Government or mission-driven environment experience; familiarity with FedRAMP, IL5/IL6, and ATO processes.

  • Active Secret or TS clearance.

Work Environment: Hybrid; high technical collaboration across the AI COE hub, operating-group spokes, IT, and business teams.

Work Schedule: Standard business hours with flexibility based on project demand; occasional travel to spoke sites and customer engagements.

Compensation Details:

$180k- $225K

The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.

Benefits Overview:

Our health and welfare benefits are designed to support you and your priorities. Offerings include:

  • Health, dental, and vision insurance

  • Paid time off and holidays

  • Retirement benefits (including 401(k) matching)

  • Educational reimbursement

  • Parental leave

  • Employee stock purchase plan

  • Tax-saving options

  • Disability and life insurance

  • Pet insurance

Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.

Original Posting:

07/02/2026 - Until Filled

Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.

Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language atLabor Laws Posters.