AI Transformation Lead at Steampunk

McLean, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jun, 26

Salary

0.0

Posted On

21 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, MLOps, RAG, AutoML, LLMOps, Orchestration Frameworks, Change Management, AI Tooling, Software Engineering, Data Engineering, Cybersecurity, DevSecOps, LangChain, Vertex AI, Responsible AI, CI/CD

Industry

Advertising Services

Description

Overview We are seeking a dynamic, forward-thinking AI Transformation Lead 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 today’s AI tools and platforms (including GenAI, MLOps, RAG, AutoML, LLMOps, and orchestration frameworks) and combines that technical acumen with a change agent’s mindset—capable 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. Contributions You’ll 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. You’ll 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 Qualifications 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 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 skills—capable 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 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. If you want to learn more about our story, visit http://www.steampunk.com. 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.

Responsibilities

This role involves defining the enterprise-wide AI Enablement Roadmap, identifying high-leverage use cases, and leading the evaluation, prototyping, and deployment of AI tools across various functions like software engineering and business operations. The lead will also act as the primary change agent, developing training and evangelizing success stories to drive adoption and ensure internal AI gains translate into competitive client delivery advantages.