Manager AI

Robert Half•San Ramon, CA

9d•$123,000 - $190,000

About The Position

Robert Half is seeking a Manager AI to provide strategic leadership for developing, delivering, and advancing the organization’s artificial intelligence capabilities, data science practices, and intelligent software solutions. The role leads multidisciplinary teams of Data Scientists, AI Engineers, Machine Learning Engineers, and related technical professionals to build scalable, secure, governed, and impactful AI solutions supporting critical business capabilities. The Manager AI translates enterprise AI strategy into team objectives, operating models, delivery roadmaps, and organizational capabilities that accelerate AI adoption and create measurable business value. The Manager AI establishes the enterprise AI technology vision, strategic architecture, and innovation roadmap; guides adoption of advanced and emerging AI capabilities; and provides executive-level technical leadership for architecture governance. The role leads complex AI-enabled application and platform development, promotes reusable engineering practices, and ensures initiatives align with enterprise architecture, security, responsible AI, regulatory requirements, data governance, and operational excellence. The position owns delivery of AI initiatives and portfolio management, including priorities, resources, dependencies, delivery commitments, and success measures. It also leads team hiring, workforce planning, development, performance management, and career growth, while establishing governance and quality practices for AI solution lifecycles. The typical annual salary range is $123,000–$190,000, negotiable depending on experience and location. The position is eligible for a discretionary annual bonus.

Requirements

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 that develop and deploy production-grade AI capabilities, including managing technical roadmaps, resource planning, delivery execution, and organizational transformation initiatives.
Track record of leading complex, ambiguous technology initiatives by aligning people, processes, technical capabilities, and business priorities to deliver measurable outcomes and long-term organizational value.
Ability to lead and develop multidisciplinary teams while fostering innovation, collaboration, technical excellence, and continuous improvement.
Ability to communicate complex AI concepts, technical strategies, delivery plans, risks, and opportunities to executive leadership, business stakeholders, technical teams, and non-technical audiences.
Ability to partner effectively with executives, product and engineering leaders, architects, data organizations, security and governance teams, and business stakeholders.
Strong strategic thinking, organizational leadership, analytical problem-solving, decision-making, and execution skills in evolving AI and technology environments.
Strong technical understanding of LLMs, foundation models, generative AI applications, agentic AI, RAG, machine learning systems, AI evaluation methodologies, and emerging AI technologies.
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 aligned with organizational priorities.
Experience managing AI technology roadmaps, prioritizing investments, identifying delivery risks, and partnering with technical leaders to evolve 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.

Responsibilities

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 AI trends, technologies, and industry practices to inform roadmaps and identify innovation opportunities.
Provide strategic leadership to Data Scientists, AI Engineers, Machine Learning Engineers, and technical leaders.
Improve AI development practices 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 technical leadership for enterprise AI architecture governance, including scalability, security, resilience, interoperability, responsible AI, regulatory compliance, and operational excellence.
Lead development and enhancement of AI-enabled applications, platform services, and enterprise frameworks.
Design and implement reusable, scalable components that help development teams deliver AI solutions.
Promote software engineering best practices, code quality standards, and automation across AI initiatives.
Partner with executive, product, engineering, architecture, data, security, infrastructure, governance, and business stakeholders to shape AI strategy and organizational transformation.
Ensure AI initiatives align with enterprise architecture, cybersecurity, responsible AI principles, regulatory requirements, data governance standards, and operational excellence objectives.
Own AI initiative execution and delivery by setting priorities, managing resources, removing barriers, and ensuring teams deliver scalable, secure, impactful solutions.
Manage the AI project and product portfolio, balancing investment, business priorities, technical dependencies, delivery commitments, and organizational capacity.
Define requirements and success metrics with Product Managers, business stakeholders, engineering teams, and technical leaders; measure outcomes and business value.
Lead AI solution lifecycle management, including discovery, experimentation, model development, evaluation, deployment, monitoring, optimization, and improvement.
Support evolution of AI platforms, developer capabilities, data products, experimentation environments, and reusable AI services.
Lead, manage, and develop multidisciplinary AI professionals.
Build a high-performing AI organization through hiring, workforce planning, talent development, performance management, and career growth strategies.
Coach and mentor technical professionals through career guidance, growth opportunities, feedback, and support.
Establish AI governance practices for responsible, secure, reliable, and compliant AI development and deployment.
Partner with engineering, security, data governance, risk, and compliance teams to ensure alignment with enterprise privacy, security, responsible AI, and regulatory standards.
Define quality expectations and operating practices for model evaluation, validation, monitoring, performance measurement, and production readiness.
Improve AI processes, tools, methodologies, and organizational practices to increase delivery velocity, quality, and business impact.

Benefits

Group health insurance benefits, including medical, vision, and dental coverage.
Flexible spending account (FSA) and health savings account (HSA) healthcare accounts.
Life and accident insurance.
Adoption and fertility assistance.
Paid parental leave of up to 6 weeks.
Short- and long-term disability coverage.
Paid time off for vacation, personal needs, and sick time; new hires earn up to 17 days of Choice Time Off per calendar year, prorated based on hours worked and varying by years of service.
Up to 11 paid holidays per calendar year.
401(k) savings and investment plan or deferred compensation plan, if eligible.
Employer 401(k) match of 100% on the first 3% of eligible employee contributions.
Eligibility for a discretionary annual bonus.