AI​/ML Lead

Position: AI / ML Lead
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

** 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.

** Here is what you need:*
* + US Citizen (Public Trust Eligible)

+ 3+ years of experience in leading technical teams to achieve objectives and outcomes. Experience includes

+  Developing and implementing technical standards, systems and processes for cloud and on-prem environments.

+ Recommending technology strategies and decisions with a high-level of expertise and knowledge.

+ Providing technical direction and support 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.

+ Solid understanding of generative AI, LLMs, retrieval-augmented generation (RAG), embeddings, and vector databases.

+ Google Storage:
Access control, versioning, encryption, lifecycle management, storing logs, handling backups, managing static files, working with ML workflows, Storage Transfer Service, Cloud Storage, Cloud Storage for Firebase, Filestore, Google Workspace Essentials, Local SSD, Persistent Disk

+ Dev Ops/Configuration Management/Help Desk:
Ansible, Cloudockit, Git Hub, Jira Service Desk, Service Now

+

Experience with Google Cloud GenAI tools, including Vertex AI Search, Vector Search, Agents, and 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

+ Regulated environment experience (FedRAMP, HIPAA, PCI, NIST)

+ AI modernization or cloud migration leadership

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of  
** California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia** . The base pay range for this position in these locations is shown below.…