AI Innovation Engineer

UNAVAILABLE; McLean (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

UNAVAILABLE seeks an AI Innovation Engineer to design and prototype AI solutions for public-sector clients. You will enable clients through education, workshops, and hands-on demos, bridging strategy and execution with rapid prototyping in modern cloud environments.

The role emphasizes collaboration with DevSecOps, data stewards, and cross-functional teams to catalyze digital transformation while maintaining responsible AI and data security.

Qualifications

• Requires Bachelor’s or Master’s in Computer Science, AI, or related field.
• 3+ years in software engineering, data engineering, or applied AI/ML roles.
• Hands-on experience with GenAI tooling (OpenAI, Claude, Gemini, Llama 3).
• Experience with LangChain, LlamaIndex or similar RAG frameworks.
• Experience with cloud platforms (AWS, GCP, Azure).
• Familiarity with data pipelines, APIs, and demos.
• Knowledge of DevSecOps, CI/CD, and GitHub.
• Experience engaging with clients or stakeholders in a consultative role.

Responsibilities

• Enable client AI capabilities through education, demos, and workshops.
• Design and prototype AI solutions tailored to mission use cases.
• Integrate prototypes into cloud environments (AWS, GCP, Azure).
• Develop and reuse patterns across delivery teams to scale impact.
• Collaborate with data scientists, platform engineers, and user-facing teams.
• Ensure responsible AI, data sensitivity, and security-first practices.

Skills

GenAI tooling

LangChain/LlamaIndex

Python

Cloud platforms

Public sector experience

DevSecOps / CI/CD

Stakeholder communication

Security/compliance

Education

Bachelor's or Master's in CS/AI

Tools

AWS Bedrock

GCP Vertex AI

Azure OpenAI Service

FAISS / Weaviate / Chroma

LlamaIndex

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.

Responsibilities

This role is ideal for someone who thrives at the intersection oftechnical 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

• 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

• 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.