Steampunk is seeking an AI Transformation Lead to drive enterprise-wide adoption of AI-powered tools, workflows, and practices across internal operations and client delivery teams to improve efficiency, quality, and innovation.
Requirements
- Strong hands-on knowledge of today’s AI tools and platforms (including GenAI, MLOps, RAG, AutoML, LLMOps, and orchestration frameworks)
- Experience with modern AI tooling and practices, such as Generative AI platforms, LLM frameworks and RAG, MLOps, LLMOps, or CI/CD automation with AI integration
- Familiarity with federal government IT environments, security requirements, and cloud platforms (AWS, GCP, Azure)
- Experience with AI safety, evaluation, red teaming, and responsible use in production environments
- Familiarity with Human-Centered Design techniques and understanding of how to integrate AI into HCD workflows
- 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)
Responsibilities
- Define and continuously refine the AI Enablement Roadmap for internal teams and delivery domains
- 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
- Develop and deliver training sessions, onboarding content, and office hours to help teams adopt new AI-powered workflows
- Support delivery teams in embedding AI-enabled components into client work, e.g., automated testing, generative UIs, smart data pipelines
- Define KPIs to track efficiency gains, quality improvements, and AI adoption across teams
Other
- Ability to hold a position of public trust with the US government
- Bachelor’s, Master's, 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
- Excellent communication and facilitation skills—capable of training engineers, briefing executives, and co-creating with designers
- Demonstrated success in leading cross-functional change across technical and non-technical teams
