AI / ML Lead
Accenturefederalservices · Arlington, VA
About this role
**AI / ML Lead** **About Accenture Federal Services** At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer—and life better for people. Join a collaborative, caring community where you’re empowered to grow through hands-on experience, certifications, and training. **The Work** Lead enterprise AI strategy, delivery, and governance using **Gemini for Enterprise**, **Vertex AI**, and modern **ML/GenAI** technologies. Drive high-impact AI initiatives, build scalable platforms, and guide cross-functional teams. **Key Responsibilities** - Define AI vision, strategy, and roadmap aligned to business goals. - Identify high-value AI/ML use cases across operations, customer experience, risk, and productivity. - Architect and deliver end-to-end AI/ML solutions (LLMs, RAG, pipelines, MLOps, CI/CD). - Lead workshops, stakeholder alignment, and executive communication. - Oversee model governance, responsible AI, security, compliance, and performance tracking. - Mentor data scientists, ML engineers, analysts, and platform engineers. **What You Need** - **US Citizen (Public Trust Eligible)** - 3+ years leading technical teams to achieve objectives/outcomes, including: - Developing and implementing technical standards, systems, and processes for cloud and on-prem environments. - Recommending technology strategies and decisions with deep expertise. - Providing technical direction to ensure compliance with standards and guidelines. - 3+ years leading AI/ML teams or initiatives in complex enterprise environments. - Demonstrated experience delivering end-to-end AI/ML solutions using **Vertex AI**, **Gemini APIs**, or other cloud AI platforms. - Strong understanding of generative AI, **LLMs**, **RAG**, embeddings, and vector databases. - Experience with Google Cloud ecosystem tools (e.g., Storage, DevOps/Config Mgmt, Help Desk tooling). - Experience with Google Cloud GenAI tools (e.g., Vertex AI Search, Vector Search, Agents, Workbench). - Familiarity with responsible AI frameworks, model governance, and risk management. - Experience with Kubernetes, microservices, and distributed systems. - Industry certifications (e.g., Google Cloud Professional ML Engineer, Data Engineer, or Architect). - Strong leadership, communication, and stakeholder management. **Preferred Experience** - Master’s/PhD in AI/ML or related field. - Experience in regulated environments (FedRAMP, HIPAA, PCI, NIST). - AI modernization or cloud migration leadership. **Pay Transparency (Base Pay Range)** $103,200 — $196,400 USD (for the listed states and DC). **Equal Employment Opportunity / Accommodation** Accenture Federal Services is an Equal Employment Opportunity employer and supports reasonable accommodations for qualified individuals.
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