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Ai Proof Jobs in Virginia (NOW HIRING)

Steampunk

AI Innovation Engineer

Mclean, VA · On-site

Prototyping & Proof-of-Concepts * Design and implement AI prototypes and proof-of-concept solutions tailored to specific mission use cases (e.g., summarization, entity extraction, classification ...

Steampunk

AI Innovation Engineer

Mclean, VA · On-site

Prototyping & Proof-of-Concepts * Design and implement AI prototypes and proof-of-concept solutions tailored to specific mission use cases (e.g., summarization, entity extraction, classification ...

Steampunk

AI Innovation Engineer

Mclean, VA · On-site

Prototyping & Proof-of-Concepts * Design and implement AI prototypes and proof-of-concept solutions tailored to specific mission use cases (e.g., summarization, entity extraction, classification ...

KBR

AI Systems Engineer

Chantilly, VA · On-site

$152K - $190K/yr

Title: AI Systems Engineer KBR is seeking a visionary AI Systems Engineer to join our team ... Design and build hands-on, high-impact proof-of-concept models. This includes training, fine-tuning ...

KBR, Inc.

AI Systems Engineer

Chantilly, VA · On-site

$152K - $190K/yr

Title: AI Systems Engineer KBR is seeking a visionary AI Systems Engineer to join our team ... Design and build hands-on, high-impact proof-of-concept models. This includes training, fine-tuning ...

Guidehouse

AI Lead

Mclean, VA · On-site

... lead proofs of concept that responsibly translate emerging technologies into enterprise capabilities. • Implement responsible AI and model risk management practices, including documentation ...

Guidehouse

AI Lead

Mclean, VA

The AI Lead will guide multidisciplinary teams, establish AI engineering and governance standards ... Evaluate models, tools, and vendors; guide build-versus-buy decisions; and lead proofs of concept ...

Seekr

AI Engineer, Public Sector

Reston, VA · On-site

Additionally, this person will be working on quick proof-of-concept solutions but also building in ... Design, implement, and deploy AI Solutions for USG customers * Design and develop prototype ...

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Ai Proof information

What is the difference between Ai Proof vs Data Analyst?

AspectAi ProofData Analyst
Required CredentialsCertifications in AI, machine learning, or data scienceBachelor's or master's in data science, statistics, or related fields
Work EnvironmentTech companies, AI development firms, research labsBusiness, finance, healthcare, and other industries
Industry UsageDeveloping AI models to prevent bias or manipulationAnalyzing data to inform business decisions

Ai Proof specialists focus on creating systems resistant to AI manipulation, requiring expertise in AI and machine learning. Data Analysts interpret data to support decision-making, often with a background in statistics. While both roles involve data, Ai Proof emphasizes AI robustness, whereas Data Analysts focus on data interpretation.

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For Ai Proof jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Ai Proof jobs in Virginia look for?

The top searched job categories for Ai Proof jobs in Virginia are:

What cities in Virginia are hiring for Ai Proof jobs?

Cities in Virginia with the most Ai Proof job openings:

Ai Proof jobs near you
Infographic showing various Ai Proof job openings in Virginia as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution.

AI Innovation Engineer

Steampunk

Mclean, VA • On-site

Other

Re-posted 16 days ago

Job description

Overview
We are seeking a hands-on, creative, and technically strong AI Innovation Engineer to support our client delivery teams in bringing modern AI solutions to life within public-sector organizations. This role is focused on client enablement, prototyping, and cross-functional engagement-helping our clients understand the potential of AI, design proofs-of-concept, and build working prototypes that demonstrate value in their specific mission context.
The ideal candidate combines strong technical skills (especially with GenAI, LLMs, data pipelines, and cloud-native services) with the ability to collaborate across disciplines-working with DevSecOps teams, cloud working groups, data stewards, and communities of practice to drive AI adoption and build momentum. You'll play a critical role in bridging the gap between strategy and execution, demonstrating how AI can solve real-world problems and catalyze digital transformation.
Contributions
This role is ideal for someone who thrives at the intersection of technical innovation and human-centered impact. You'll help our clients not only understand what AI can do, but also show them how through prototypes, pilots, and practice. You'll be an early advocate for the latest AI service offerings that are available for our clients. You'll join a collaborative, forward-leaning culture that values exploration, rapid iteration, and practical impact. You'll contribute to the growth of our AI & Data Exploitation Practice.
Your key contributions include:
  • Client AI Enablement & Education
    • Serve as a trusted advisor to the client organization on modern AI capabilities, best practices, and responsible use
    • Develop AI education materials, tutorials, demo videos, and onboarding sessions that are tailored to the client organization's needs
    • Lead or support AI enablement events such as workshops, lunch-and-learns, innovation sprints, and capability briefings
  • Prototyping & Proof-of-Concepts
    • Design and implement AI prototypes and proof-of-concept solutions tailored to specific mission use cases (e.g., summarization, entity extraction, classification, semantic search)
    • Work with cloud platform teams to integrate prototypes into modern cloud environments (e.g., AWS Bedrock, GCP Vertex AI, Azure OpenAI)
    • Leverage RAG pipelines, orchestration frameworks (LangChain, LlamaIndex), and LLM APIs to rapidly deliver working demos
  • Cross-Functional Integration
    • Participate in communities of practice and cross-team working groups (e.g., cloud, data, architecture, cybersecurity) to ensure AI adoption is aligned with broader modernization goals
    • Share findings, prototype patterns, and reusable components across delivery teams to accelerate reuse and scale impact
    • Serve as a liaison between data scientists, platform engineers, and user-facing teams to ensure end-to-end viability of AI solutions
  • Standards, Security & Compliance
    • Ensure all AI solutions are designed with responsible AI principles, data sensitivity awareness, and security-first practices
    • Collaborate with compliance and governance stakeholders to vet tools, define usage boundaries, and mitigate risks in AI application

Qualifications
Required
  • Ability to hold a position of public trust with the US government.
  • Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 3+ years of experience in software engineering, data engineering, or applied AI/ML roles.
  • Demonstrated hands-on experience with modern GenAI tooling, such as:
    • OpenAI (GPT-4), Claude, Gemini, Llama 3
    • LangChain, LlamaIndex, or similar RAG frameworks
    • AWS Bedrock, GCP Vertex AI, Azure OpenAI Service
    • Vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma)
  • Strong Python development skills with familiarity in building data pipelines, API wrappers, and lightweight front-ends for demos.
  • Ability to build and present AI-powered demos to both technical and non-technical audiences.
  • Familiarity with DevSecOps and CI/CD principles.
  • Familiarity with GitHub.
  • Experience engaging with external clients or business stakeholders in a consultative role.
  • Relevant Professional Certification(s)
  • Experience supporting HHS or NIH programs
  • Experience working in scientific environments

Preferred Qualifications
  • Experience delivering AI capabilities into federal government agencies or highly regulated industries.
  • Experience customizing AI services for biomedical or health research.
  • Understanding of NIST AI Risk Management Framework and other public-sector digital policy memos.
  • Hands-on knowledge of data governance, PII handling, and compliance-aware prototyping.
  • Exposure to Human-Centered Design practices, user research synthesis, or journey mapping.
  • Prior involvement in standing up or contributing to an AI Community of Practice or Innovation Hub.

About steampunk
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.

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