Sr. Staff Engineer AI Incubation

Albertsons • Pleasanton, CA

6d • Onsite

About The Position

The AI Incubation team sits within the Data & AI organization and helps identify, shape, and accelerate high-value AI opportunities across the business. This includes advancing Albertsons’ Four Big Bets in AI: digital customer experience, merchandising intelligence, empowering associates and leaders, and end-to-end supply chain optimization. The AI Incubation team has an opening for a Sr. Staff Engineer – AI (AI Incubation). This position is located in Pleasanton, California. The Sr. Staff Engineer – AI (AI Incubation) will partner with business, product, and technology leaders to identify, shape, and accelerate high-value AI opportunities across the enterprise. This is a senior role for a leader who can move fluidly from problem framing to solution design, from stakeholder alignment to execution planning, and from incubation to enterprise scale. Success in this role will come from the ability to convert ambiguity into clear priorities, credible solution paths, and measurable business outcomes. The role will help connect incubation priorities to Albertsons’ Four Big Bets in AI and improve the quality and speed with which ideas move from concept to deployment. This role sits at the front end of Albertsons’ AI transformation, where enterprise priorities are translated into practical solutions with scale potential. It offers direct exposure to senior stakeholders, high-value problem spaces, and the opportunity to shape how AI is deployed across one of the largest grocery and pharmacy retailers in the U.S.

Requirements

• Bachelor’s or master’s degree in computer science, Engineering, Data Science, Analytics, or a related field.
• 10 plus years of relevant experience in AI-led transformation, AI solutions consulting, product strategy, enterprise architecture, or related roles.
• Demonstrated ability to move from executive-level ambiguity to clear hypotheses, product prototypes, decision points, and action plans.
• Strong executive communication and stakeholder leadership skills, with the ability to influence across business, product, and technology teams.
• Demonstrated expertise designing and deploying production-scale AI systems across multiple enterprise AI layers including Machine Learning, Foundation Models, Retrieval-Augmented Generation (RAG), Agentic Systems, and AI Platforms, with Data Engineering serving as the foundational competency.
• Experience building enterprise-grade AI applications using modern AI frameworks such as LangChain, Semantic Kernel, LlamaIndex, LangGraph, or equivalent technologies.
• Demonstrated ability to establish reusable engineering patterns, technical standards, and enterprise AI best practices.
• Ability to operate effectively in fast-moving environments where priorities evolve and clarity must be created.

Nice To Haves

• Experience in AI transformation, innovation, incubation, internal strategy, solutions consulting, product leadership, or enterprise architecture within large enterprises, with exposure on AI, Enterprise GenAI, AI Agents, Multi-agent systems, AI Platform Engineering, Model Evaluation, AI Governance, LLMOps, MLOps, Vector Databases & Enterprise AI Security
• Experience in or exposure to retail, grocery, ecommerce, loyalty, merchandising, supply chain, or pharmacy environments.
• Background from top-tier consulting firms, Fortune 100-scale retailers, hyperscaler AI/solutions organizations, or high-growth AI companies is a plus.
• Familiarity with responsible AI, privacy, security, and risk considerations in enterprise or customer-facing deployments.

Responsibilities

• Partner with senior leaders to identify, prioritize, and frame high-value AI opportunities tied to enterprise strategy and measurable outcomes.
• Build trusted relationships across business, product, and technology teams to strengthen the AI incubation funnel and improve cross-functional alignment.
• Translate ambiguous business problems into clear problem statements, solution hypotheses, business cases, and roadmaps.
• Orchestrate cross-functional teams across product, engineering, data, architecture, security, and platform functions from discovery through pilot and production readiness.
• Shape AI initiatives across customer, merchandising, marketing, loyalty, operations, supply chain, pharmacy, and corporate domains.
• Design enterprise-scale AI solution architectures spanning Data, ML, Foundation Models, RAG, Agentic Systems, AI Platforms, and enterprise integrations, with robust governance and production readiness.
• Build prototypes and evaluate emerging AI capabilities, including foundation models, prompting strategies, retrieval architectures, and agent orchestration patterns to accelerate production adoption.
• Establish reusable AI reference architectures, engineering standards, and solution accelerators that enable scalable, secure, and cost-effective AI adoption across the enterprise.
• Establish success metrics, experimentation plans, and adoption pathways that improve speed-to-decision and value realization.
• Accelerate initiatives from concept to pilot or production-ready design while improving the quality of governance, evaluation, and handoff into enterprise deployment.
• Provide technical leadership and mentorship across engineering, platform, and data science teams, influencing architecture and engineering decisions through deep technical expertise.
• Drive technical excellence by defining best practices for AI evaluation, observability, governance, performance, safety, and operational optimization.

Benefits

• Competitive wages paid weekly
• Access to up to 50% of your earned wages before payday, via our partnership with Stream
• Associate discounts
• Health and financial well-being benefits for eligible associates (Medical, Dental, 401k and more!)
• Time off (vacation, holidays, sick pay).
• Leaders invested in your training, career growth and development
• An inclusive work environment with talented colleagues who reflect the communities we serve

What This Job Offers

• Job Type: Full-time
• Career Level: Senior