AI/ML Lead

Accenture Federal Services

. Lead enterprise AI strategy, delivery, and governance using Gemini for Enterprise, Vertex AI, and modern ML/GenAI technologies .

Posted 10/2/2026full-timeRemote • Virginia • United StatesSenior💰 $103,200 - $196,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading enterprise AI strategy and delivery, with a focus on scalable AI/ML solutions using Vertex AI and Gemini. Proficient in model governance, responsible AI practices, and compliance within regulated environments.

Highest-signal resume keywords

AI/ML Solution DeliveryVertex AI ExperienceGenerative AI UnderstandingLeadership in Technical TeamsRegulated Environment Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Strategy DevelopmentEnd-to-End AI/ML SolutionsMLOpsCI/CDModel GovernanceTechnical Standards ImplementationCloud AI PlatformsKubernetesMicroservicesDistributed Systems

Soft Skills

LeadershipCommunicationStakeholder ManagementMentoring

Tools & Technologies

Gemini for EnterpriseVertex AIAnsibleGitHubJira ServiceDeskServiceNowGoogle Cloud GenAI ToolsGoogle StorageVector DatabasesML Workflow Integrations

Certifications & Qualifications

Google Cloud Professional ML EngineerData EngineerArchitect

Industry Keywords

Responsible AIRisk ManagementFedRAMPHIPAAPCINISTAI ModernizationCloud Migration

Tech Stack

Tools & technologies

AnsibleCloudDistributed SystemsKubernetesMicroservicesServiceNow

About the role

Key responsibilities & impact

Lead enterprise AI strategy, delivery, and governance using Gemini for Enterprise, Vertex AI, and modern ML/GenAI technologies
Drive high-impact AI initiatives and build scalable platforms
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, including LLMs, RAG, pipelines, MLOps, and 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

Requirements

What you’ll need

US Citizen (Public Trust Eligible)
3+ years of experience leading technical teams to achieve objectives and outcomes
Experience developing and implementing technical standards, systems, and processes for cloud and on-prem environments
Experience recommending technology strategies and decisions
Experience providing technical direction and support for compliance with standards and guidelines
3+ years leading AI/ML teams or initiatives in complex enterprise environments
Experience delivering end-to-end AI/ML solutions using Vertex AI, Gemini APIs, or other cloud AI platforms
Understanding of generative AI, LLMs, RAG, embeddings, and vector databases
Knowledge of Google Storage capabilities and ML workflow integrations
Experience with Ansible, Cloudockit, GitHub, Jira ServiceDesk, and 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 such as Google Cloud Professional ML Engineer, Data Engineer, or Architect
Strong leadership, communication, and stakeholder management
Master’s/PhD in AI/ML or related field preferred
Regulated environment experience with FedRAMP, HIPAA, PCI, or NIST preferred
AI modernization or cloud migration leadership preferred
Must have US work authorization without current or future visa sponsorship requirement

Benefits

Comp & perks

Collaborative and caring community
Hands-on experience
Certifications
Industry training
Wide variety of benefits
Reasonable accommodations for disabilities or religious observances
Equal employment opportunity and affirmative action for veterans and individuals with disabilities