AI / ML Lead

Accenture Federal Services•Arlington, TX

About The Position

At Accenture Federal Services, our purpose is to help the US federal government make the nation stronger and safer, and improve lives through technology and ingenuity. We are a technology company within global Accenture, recognized as a Glassdoor Top 100 Best Place to Work. We offer a collaborative and caring community where individuals can grow, learn, and thrive through hands-on experience, certifications, and industry training. Join us to drive positive, lasting change that advances missions and the government forward.

Requirements

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
DevOps/Configuration Management/Help Desk: Ansible, Cloudockit, GitHub, Jira ServiceDesk, ServiceNow
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.

Nice To Haves

Master’s/PhD in AI/ML or related field
Regulated environment experience (FedRAMP, HIPAA, PCI, NIST)
AI modernization or cloud migration leadership

Responsibilities

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.
Guide cross-functional teams.
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.