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Generative Ai Training Jobs in Washington (NOW HIRING)

Blend360

AI Engineering Sr Director

Columbia, MD · On-site

$251K/yr

... Generative AI solutions. This includes selecting appropriate models (LLMs, diffusion models, etc.), designing data pipelines for AI training and inference, and architecting scalable and robust AI ...

Blend360

AI Engineering Sr Director

Columbia, MD · On-site +1

$251K/yr

... Generative AI solutions. This includes selecting appropriate models (LLMs, diffusion models, etc.), designing data pipelines for AI training and inference, and architecting scalable and robust AI ...

Blend360

AI Engineering Sr Director

Columbia, MD

$251K/yr

... Generative AI solutions. This includes selecting appropriate models (LLMs, diffusion models, etc.), designing data pipelines for AI training and inference, and architecting scalable and robust AI ...

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Generative Ai Training information

What is generative AI training?

Generative AI training refers to the process of teaching artificial intelligence models, such as neural networks, to create new content like text, images, audio, or code. This is done by exposing the AI to large datasets so it can learn underlying patterns and generate outputs that mimic human-like creativity. The training process often involves techniques like supervised learning, unsupervised learning, or reinforcement learning, depending on the desired outcome. Generative AI is widely used in applications like chatbots, image generation, and content creation.

What are the key skills and qualifications needed to thrive in generative AI training?

To thrive in Generative AI Training, you need a strong background in machine learning, data science, and programming (especially Python), often supported by a degree in computer science or a related field. Experience with frameworks like TensorFlow, PyTorch, and familiarity with large language models and cloud platforms is typically required. Strong analytical thinking, creativity, and effective communication are essential soft skills for designing training data and refining model outputs. These skills and qualities are crucial for developing high-quality, ethical, and scalable AI systems that meet organizational goals.

What are some common challenges faced by professionals working in generative AI training roles?

Professionals in Generative AI training often encounter challenges such as ensuring data quality and diversity, combating model bias, and staying updated with fast-evolving algorithms. Collaborating closely with data scientists, engineers, and subject matter experts is essential to create robust training datasets and refine model outputs. Additionally, balancing computational resource demands with project deadlines can be demanding, making strong project management and adaptability key assets in this role.

What is the difference between Generative Ai Training vs Data Scientist?

AspectGenerative Ai TrainingData Scientist
Required CredentialsKnowledge of AI models, programming, machine learningStatistics, programming, data analysis
Work EnvironmentAI development teams, tech companies, research labsBusiness, finance, tech firms, research institutions
Industry UsageDeveloping generative models like GPT, DALL·EData analysis, predictive modeling, insights generation

Generative Ai Training focuses on developing and fine-tuning AI models that generate content, requiring expertise in AI frameworks and machine learning. Data Scientists analyze data to extract insights and build predictive models. While both roles involve programming and data skills, Generative Ai Training is specialized in AI model creation, whereas Data Scientists work broadly with data analysis across industries.

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

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

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

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

Generative Ai Training jobs near you
Infographic showing various Generative Ai Training job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 13% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.

Senior AI Solutions Architect, Generative AI

Amentum

Reston, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 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 at Labor Laws Posters.

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