Manager – AI

Robert Half

. Translate enterprise AI strategy into team objectives, delivery priorities, operating models, and investment plans .

Posted 10/30/2026full-timeRemote • California • United StatesMid-LevelSenior💰 $123,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading multidisciplinary AI teams, managing complex AI initiatives, and driving the adoption of emerging AI technologies. Proficient in establishing AI governance practices, ensuring compliance, and delivering scalable AI solutions aligned with enterprise architecture.

Highest-signal resume keywords

AI Strategy TranslationLeadership of Multidisciplinary TeamsAI Solution Lifecycle ManagementResponsible AI GovernanceTechnical Roadmap Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningArtificial IntelligenceSoftware EngineeringData ScienceAI Evaluation MethodologiesGenerative AI ApplicationsLLMsRAGAI ArchitectureTechnical Strategy Documentation

Soft Skills

Strategic ThinkingAnalytical Problem-SolvingDecision-MakingCommunication SkillsOrganizational Leadership

Industry Keywords

Enterprise AIAI GovernanceOperational ExcellenceComplianceData GovernanceTechnical LeadershipInnovation RoadmapScalabilitySecurityInteroperability

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

Translate enterprise AI strategy into team objectives, delivery priorities, operating models, and investment plans
Guide adoption of LLMs, RAG, agentic AI, machine learning, multimodal AI, knowledge architectures, and emerging AI technologies
Evaluate emerging AI trends, technologies, and industry practices to shape roadmap decisions and identify innovation opportunities
Lead and provide strategic guidance to multidisciplinary AI teams
Drive continuous improvement across experimentation, model development, evaluation, deployment, monitoring, governance, and lifecycle management
Establish the enterprise AI technology vision, strategic architecture, and innovation roadmap
Provide executive-level leadership for AI architecture governance across scalability, security, resilience, interoperability, responsible AI, compliance, and operational excellence
Lead development and enhancement of complex AI-enabled applications, platform services, and enterprise frameworks
Design and implement reusable, scalable components for AI solution delivery
Drive software engineering best practices, code quality, and automation across AI initiatives
Partner with executive leadership, product, engineering, architecture, data, security, infrastructure, governance, and business stakeholders
Ensure AI initiatives align with enterprise architecture, cybersecurity, responsible AI, regulatory requirements, data governance, and operational excellence
Own AI initiative execution and delivery by setting priorities, managing resources, removing barriers, and ensuring scalable, secure, impactful solutions
Manage the AI project and product portfolio, balancing investments, priorities, dependencies, commitments, and capacity
Define requirements, success metrics, and outcomes for AI solutions with product managers and stakeholders
Drive AI solution lifecycle management from discovery through continuous improvement
Support evolution of AI platforms, developer capabilities, data products, experimentation environments, and reusable AI services
Lead, manage, and develop Data Scientists, AI Engineers, Machine Learning Engineers, and related AI professionals
Build a high-performing AI organization through hiring, workforce planning, talent development, performance management, and career growth
Coach and mentor technical professionals
Establish and promote responsible AI governance practices
Define team-level quality expectations and operational practices for model evaluation, validation, monitoring, performance measurement, and production readiness
Drive continuous improvement in AI processes, tools, methodologies, and organizational practices

Requirements

What you’ll need

Bachelor's degree in a related field or equivalent experience
3+ years of professional experience in software engineering, data science, machine learning, artificial intelligence, technology delivery, and technical leadership within large-scale enterprise environments
Demonstrated success building high-performing technical teams, delivering enterprise AI capabilities, managing complex technology initiatives, and translating business objectives into scalable AI solutions
Experience leading AI, data science, software engineering, or technology teams developing and deploying production-grade AI capabilities
Experience managing technical roadmaps, resource planning, delivery execution, and organizational transformation initiatives
Proven ability to lead complex, ambiguous technology initiatives and align people, processes, technical capabilities, and business priorities
Ability to lead and develop multidisciplinary teams of Data Scientists, AI Engineers, Machine Learning Engineers, and software professionals
Exceptional ability to communicate complex AI concepts, technical strategies, delivery plans, risks, and opportunities to executive, business, technical, and non-technical audiences
Ability to partner with executives, product leaders, engineering leaders, architects, data organizations, security teams, governance teams, and business stakeholders
Strong strategic thinking, organizational leadership, analytical problem-solving, decision-making, and execution skills
Strong technical understanding of LLMs, foundation models, generative AI applications, agentic AI, RAG, machine learning systems, AI evaluation methodologies, and emerging AI technologies
Strong understanding of enterprise AI solution lifecycles, including discovery, experimentation, data preparation, model development, evaluation, deployment, monitoring, optimization, and continuous improvement
Experience implementing or supporting responsible AI practices, including AI governance, model risk management, security, privacy, compliance, ethical AI principles, and operational controls
Ability to evaluate emerging AI technologies, identify business opportunities, assess technical feasibility, and guide adoption decisions
Experience managing AI technology roadmaps, prioritizing investments, identifying delivery risks, and evolving enterprise AI capabilities
Ability to develop executive-level communication materials, AI capability roadmaps, delivery plans, operating models, investment proposals, and technical strategy documentation
Ability to advance organizational AI maturity through team development, process improvements, technical enablement, innovation initiatives, and AI engineering best practices

Benefits

Comp & perks

Group health insurance benefits (medical, vision, dental)
FSA and HSA healthcare accounts
Life and accident insurance
Adoption and fertility assistance
Paid parental leave of up to 6 weeks
Short-term and long-term disability
Paid time off for vacation, personal needs, and sick time
Up to 17 days of Choice Time Off (CTO) per calendar year for new hires, prorated based on hours worked and varying by years of service
Up to 11 paid holidays per calendar year
Opportunity to contribute to a company 401(k) savings and investment plan or deferred compensation plan, if eligible
Employer 401(k) match of 100% on the first 3% of contributions for eligible employees
Discretionary annual bonus
Reasonable accommodation assistance for applicants with disabilities