Note: The job is a remote job and is open to candidates in USA. Foot Locker is hiring a Senior Engineer, AI & Automation to build and productionize scalable AI, generative AI, agentic AI, and intelligent automation solutions across its retail enterprise. The role owns AI products and services end to end, establishes implementation patterns and governance, and partners with technical and business teams to improve retail and corporate operations.
Responsibilities
- Design and develop production-grade GenAI, Agentic AI, RAG, and automation solutions
- Build AI agents and multi-agent workflows integrating enterprise data, APIs, applications, and business processes
- Develop RAG solutions using LLMs, embeddings, vector search, semantic retrieval, ontology and knowledge graph sources, and enterprise knowledge repositories
- Integrate AI solutions with platforms such as Snowflake, Databricks, Azure, Power BI, APIs, and retail operational systems
- Build AI-enabled solutions for retail use cases including inventory intelligence, merchandising, supply chain, store operations, product insights, customer analytics, and business reporting
- Develop reusable AI services, APIs, frameworks, connectors, and automation components
- Implement LLMOps and CI/CD processes for automated testing, deployment, monitoring, prompt and model version management, and evaluation against groundedness, retrieval quality, task success, latency, and cost per task
- Implement AI guardrails, security, RBAC, PII protection, Responsible AI, logging, monitoring, and observability
- Optimize AI solutions for performance, scalability, reliability, token consumption, and cost
- Troubleshoot complex production issues and continuously improve AI platform capabilities
- Conduct technical reviews and mentor engineers on AI engineering and software development best practices
- Collaborate with architects to convert enterprise AI architecture and standards into production implementations
Skills
- 4-7+ years of experience in software engineering, data engineering, applied AI engineering, automation, or related areas, with hands-on experience delivering AI solutions in production
- Strong experience with **Python, SQL, REST APIs, JSON, and software engineering practices**
- Hands-on knowledge of **LLMs, GenAI, RAG, Agentic AI, embeddings, vector databases/search, and prompt engineering**
- Experience with frameworks such as **LangChain, LangGraph, Semantic Kernel, or equivalent agent/orchestration frameworks**
- Experience with **Azure OpenAI/OpenAI APIs**or comparable enterprise LLM platforms
- Experience with **Snowflake and/or Databricks**and modern cloud data architectures
- Knowledge of **Docker, Kubernetes, Git, CI/CD, Azure DevOps/GitHub, and Terraform**
- Understanding of **LLMOps, evaluation frameworks, AI observability, security, and Responsible AI**
- Strong troubleshooting, problem-solving, technical leadership, and communication skills
- The candidate must be able to communicate with others in a simple, clear, and understandable manner. Must also have the ability to read and interpret all forms of communication. The ability to write reports for management and professional correspondence, as well as to speak effectively before peers, management, customers, and other associates of the organization is required
- The candidate must effectively plan and execute unusual and difficult work. Takes initiative and is decisive and quick, when appropriate. All while adhering to the team's standards and patterns and practices. Must have the ability to solve practical and impractical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. Deals constructively with conflict and disagreement
- Bachelor's degree (B.S.) from a four-year college or university, or an Associate degree in programming from a technical college, and 6 or more years of related experience and/or training, or an equivalent combination of education and experience
- The successful candidate will have a high degree of motivation, exceptional attention to detail, and the ability to derive answers from communications with multiple parts of the business. This person will also require the ability to work well within a team atmosphere and has the flexibility to help with a variety of the department goals
- At this time, Foot Locker will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization
- Experience in Retail, Digital Commerce, Supply Chain, or Customer Analytics domains preferred
- Experience working in Agile product delivery environments preferred
- Azure AI Engineer, Azure Solutions Architect, or equivalent certifications preferred
- Experience with Snowflake Cortex AI, Databricks, the Microsoft Copilot ecosystem, Power BI/Fabric, Model Context Protocol (MCP), and document AI, or equivalent technologies. Experience with retail or supply chain systems and enterprise automation platforms is valued
- Public cloud experience, preferably Azure or AWS
- Previous experience at a fortune 500 company
Benefits
- 100% remote, US based
- Employee Discount
- Paid Time Off
- Medical | Dental | Vision Coverage
- 401(k) | Roth 401(k)
- Life Insurance
- Flexible Spending Account
- Opportunities for Advancement
- Tuition Reimbursement for Qualified Courses
- Strong Company Culture
- Employee Resource Groups
Company Overview