Senior AI & Automation Engineer — Remote GenAI & LLMs

Footlocker; États-Unis; À distance; USD 125 000 - 155 000; Plein temps

Avantages offerts par ce poste

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 C•

Strong Company Culture

Employee Resource Groups

Résumé du poste

Foot Locker is seeking a Sr. Engineer, AI & Automation to design, develop, and deploy scalable AI, generative AI, agentic AI, and automation solutions across the retail enterprise.

You will lead production‑grade AI services and collaborate with architects to establish governance and cost patterns. You will work with teams across merchandising, inventory, supply chain, digital commerce, and analytics to deliver measurable impact using LLMs, RAG, and modern cloud platforms in a remote US-based

Qualifications

• 4-7+ years of experience in software/data engineering or AI engineering 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 LangChain, LangGraph, Semantic Kernel, or equivalent frameworks
• Azure OpenAI/OpenAI APIs or similar enterprise LLM platforms
• 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
• Experience in Retail, Digital Commerce, Supply Chain, or Customer Analytics domains preferred
• Experience in Agile product delivery environments preferred
• Azure AI Engineer, Azure Solutions Architect, or equivalent certifications preferred

Responsabilités

• 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
• Integrate AI solutions with platforms such as Snowflake, Databricks, Azure, Power BI, APIs, and retail systems
• Build AI‑enabled solutions for inventory intelligence, merchandising, supply chain, store operations, product insights, customer analytics, and reporting
• Develop reusable AI services, APIs, frameworks, connectors, and automation components
• Implement LLMOps and CI/CD processes for testing, deployment, monitoring, and version management
• Implement AI guardrails, security, RBAC, PII protection, Responsible AI, logging, monitoring, and observability
• Optimize AI solutions for performance, scalability, reliability, token usage, and cost
• Troubleshoot production issues and improve AI platform capabilities
• Mentor engineers and conduct technical reviews on AI engineering practices
• Collaborate with architects to convert enterprise AI architecture into production implementations

Connaissances

Python

SQL

REST APIs

JSON

Software engineering practices

LLMs

GenAI

RAG

Agentic AI

embeddings

vector databases

prompt engineering

LangChain

LangGraph

Semantic Kernel

Azure OpenAI/OpenAI APIs

Snowflake

Databricks

Docker

Kubernetes

Git

CI/CD

Terraform

LLMOps

Security

RBAC

PII protection

Observability

Retail domain knowledge

Agile product delivery

Communication skills

Azure DevOps

Formation

Bachelor’s degree (B.S.) in Computer Science or related field

Outils

LangChain

LangGraph

Semantic Kernel

Azure OpenAI/OpenAI APIs

Snowflake

Databricks

Docker

Kubernetes

Git

CI/CD

Azure DevOps

GitHub

Terraform

Description du poste

Foot Locker is seeking a Sr. Engineer, AI & Automation to design, develop, and deploy scalable AI, generative AI, agentic AI, and automation solutions across the retail enterprise.

You will lead production‑grade AI services and collaborate with architects to establish governance and cost patterns. You will work with teams across merchandising, inventory, supply chain, digital commerce, and analytics to deliver measurable impact using LLMs, RAG, and modern cloud platforms in a remote US-based