Public Sector AI Prototyping 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

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.