AI Innovation Engineer
Job Summary
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.
About the Role
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.
Key Contributions
- 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
- 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
- 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
- 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
- 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
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.