Lead AI ML Engineer

We are seeking a dynamic forward-thinking Lead AI / ML Engineer to spearhead enterprise-wide adoption of AI-powered tools workflows and practices across both internal operations and client delivery teams. This strategic leader will partner with our internal AI Lab delivery teams and back-office functions (Finance HR Recruiting BD) to identify high-impact AI use cases select or build fit-for-purpose tools and train teams on their use to drive measurable gains in efficiency quality and innovation.

The ideal candidate brings strong hands-on knowledge of todays AI tools and platforms (including GenAI MLOps RAG AutoML LLMOps and orchestration frameworks) and combines that technical acumen with a change agents mindsetcapable of translating potential into real-world outcomes across diverse functions like software development CI/CD infrastructure HCD workshop synthesis data engineering AI/ML development and business operations.

Youll be helping transform a fast-moving technology company with deep federal roots a collaborative culture and a commitment to innovation. Our AI Lab AI and Data Exploitation team and HCD experts are ready to work with you. Youll serve as the bridge ensuring cutting-edge AI capabilities are used not just by technologists but by every part of the enterprise.

Your key contributions include:

• Strategy & Roadmapping
• Define and continuously refine the AI Enablement Roadmap for internal teams and delivery domains
• Identify high-leverage areas where AI tooling can dramatically reduce effort increase quality or accelerate timelines
• Collaborate with internal AI Lab AI & Data Exploitation Salesforce Cybersecurity and DevSecOps leads to align technical solutions with transformation goals
• Tooling & Platform Enablement
• Evaluate prototype and deploy AI tools to enhance workflows in software engineering data analytics design research cybersecurity business operations and more
• Lead integration of tools such as GitHub Copilot CodeWhisperer Claude ChatGPT Enterprise LangChain Bedrock Vertex AI Salesforce Einstein GPT and others
• Drive internal adoption of AI-enhanced CI/CD pipelines documentation assistants design synthesis tools and domain-specific copilots
• Change Management & Enablement
• Develop and deliver training sessions onboarding content and office hours to help teams adopt new AI-powered workflows
• Act as the primary change agent embedding with teams during rollouts to encourage adoption and refine tools based on feedback
• Evangelize success stories across the organization to build momentum and executive buy-in
• Client Delivery Innovation
• Support delivery teams in embedding AI-enabled components into client work e.g. automated testing generative UIs smart data pipelines
• Ensure internal gains in AI adoption translate into competitive delivery advantages and IP for client engagements
• Measurement & Governance
• Define KPIs to track efficiency gains quality improvements and AI adoption across teams
• Collaborate with TechOps and Legal teams to ensure responsible and compliant use of AI tools

• Ability to hold a position of public trust with the US government.
• Bachelors Masters or Ph.D. in Computer Science Artificial Intelligence Machine Learning or a related field.

• 5 years of experience in technical delivery software engineering data science platform architecture or AI/ML development roles
• 3 years of direct experience with modern AI tooling and practices such as:
• Generative AI platforms (OpenAI Anthropic Claude Gemini etc.)
• LLM frameworks and RAG (LangChain LlamaIndex Bedrock Vertex AI)
• MLOps LLMOps or CI/CD automation with AI integration
• Embedding-based search prompt/context engineering custom fine-tuning
• Demonstrated success in leading cross-functional change across technical and non-technical teams
• Excellent communication and facilitation skillscapable of training engineers briefing executives and co-creating with designers
• Experience with AI safety evaluation red teaming and responsible use in production environments
• Familiarity with federal government IT environments security requirements and cloud platforms (AWS GCP Azure)

Preferred Qualifications

• Experience standing up or working in an internal AI Lab AI COE or Innovation Hub
• Familiarity with Human-Centered Design techniques and understanding of how to integrate AI into HCD workflows (e.g. persona generation sticky note clustering synthesis)
• Experience working in or supporting technical delivery in domains such as DevSecOps Salesforce Cybersecurity or AI and Data Exploitation
• Experience with internal platform or product development for employee-facing AI tools (copilots automations agents)
• Familiarity with secure AI implementation in regulated or compliance-heavy environments
• Certifications in AI/ML cloud platforms or Agile delivery

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 .

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.