Engineer, AI & Automation

Foot Locker•,

1d•$90,000 - $120,000•Remote

About The Position

Foot Locker is seeking an experienced and innovative Engineer, AI & Automation to build enterprise-level platform components supporting product development across multiple teams and lines of business. The role develops, tests, deploys, and supports AI and intelligent automation solutions across the retail enterprise, including AI agents, RAG solutions, automation workflows, APIs, and enterprise integrations. These solutions serve merchandising, inventory, supply chain, store operations, digital commerce, and analytics teams across Foot Locker’s brands and digital channels. The Engineer collaborates with architects, engineering teams, and business teams to deliver secure, scalable, reliable, production-ready AI solutions. The role builds components and features within established enterprise AI patterns, with design decisions guided by senior engineers and architects. It has no direct reports, and the Engineer is expected to contribute to design and code reviews and share knowledge within the team. This position is 100% remote and US-based. Foot Locker will not sponsor new employment authorization applicants or provide immigration-related support for this position.

Requirements

2–4+ years of experience in software engineering, data engineering, automation, applied AI, or related development roles.
Strong programming skills in Python and SQL.
Experience developing REST APIs and data or application integrations.
Understanding of Generative AI, LLMs, prompt engineering, RAG, embeddings, and vector search.
Familiarity with AI agent or orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent.
Experience with cloud platforms, preferably Microsoft Azure.
Exposure to Snowflake, Databricks, or similar modern data platforms.
Knowledge of Git, CI/CD, testing, logging, and monitoring.
Understanding of data security, privacy, and software engineering best practices.
Strong analytical, troubleshooting, collaboration, and communication skills.
Bachelor’s degree from a four-year college or university, or an Associate degree in programming from a technical college, and 4 or more years of related experience and/or training, or an equivalent combination of education and experience.
Ability to communicate clearly, read and interpret communications, write reports and professional correspondence, and speak effectively with peers, management, customers, and other associates.
Ability to plan and execute unusual and difficult work, take initiative, solve practical and complex problems, interpret varied instructions, and deal constructively with conflict and disagreement.
Ability to work well within a team and adapt to a variety of department goals.
Candidates must not use AI tools during interviews or assessments; cameras must be on for virtual interviews.

Nice To Haves

Experience in Retail, Digital Commerce, Supply Chain, or Customer Analytics domains.
Experience working in Agile product delivery environments.
Azure AI Engineer or equivalent certifications.
Experience with Azure OpenAI, Snowflake Cortex AI, Databricks, Power BI/Fabric, Docker/Kubernetes, and Model Context Protocol (MCP), or equivalent technologies.
Exposure to retail data or retail business processes.
Public cloud experience, preferably Azure or AWS.
Previous experience at a Fortune 500 company.

Responsibilities

Develop and maintain AI, GenAI, RAG, and automation applications.
Build AI agents and workflows using approved enterprise AI frameworks and architecture patterns.
Develop prompts, APIs, integrations, Python services, and automation workflows.
Connect AI applications to structured and unstructured enterprise data, including enterprise knowledge, ontology, and semantic-layer sources.
Implement embeddings, vector search, semantic retrieval, and RAG pipelines.
Integrate solutions with Snowflake, Databricks, Azure, Power BI, APIs, and enterprise applications.
Support retail AI use cases across merchandising, inventory, supply chain, stores, digital commerce, and analytics.
Write clean, reusable, testable, and well-documented code.
Develop automated unit, integration, regression, and AI evaluation tests covering groundedness, retrieval quality, task success, latency, and cost per request.
Support CI/CD deployment and environment management across development, test, and production.
Monitor AI applications for quality, performance, reliability, security, and cost.
Troubleshoot defects and production issues in partnership with senior engineers.
Follow enterprise standards for AI governance, security, privacy, PII protection, and Responsible AI.
Participate in proofs of concept and rapidly evaluate emerging AI and automation technologies.
Contribute to design and code reviews and share knowledge within the team.