Lead Applied Value Engineer – CPG & Retail

What you'll do

• Lead technical discovery, demonstrations, and post-sale implementation to achieve customer adoption and agreed value.
• Build prototypes and Proof-of-Value projects, including secure LLM and agent systems integrated with enterprise retail data.
• Advise CPG and retail customers on AI-driven process transformation across supply chain, inventory, fulfillment, and omnichannel operations.

What they ask for

• 8+ years leading end-to-end technical pre-sales and post-sales engagements in CPG, retail, or e-commerce.
• Deep understanding of retail and CPG processes, such as inventory management, supply chain, trade promotion, category management, or loss prevention.
• Solid knowledge of Python, common ML libraries, and data engineering tools for large-scale POS, transactional, and inventory data.
• Bachelor’s Degree required; strong presentation, storytelling, and technical communication skills.

Nice to have

• Hands-on experience building agentic systems with LLM orchestration, RAG, function calling, and prompt engineering.
• Experience deploying models on major cloud platforms and familiarity with enterprise data systems.

Pay

$196,000 — $230,000 USD (base salary)

Tools

Python, LangChain, pandas, pydantic, sklearn, PyTorch, LlamaIndex, AWS Bedrock

AI focus

Build and deliver AI roadmaps, prototypes, LLM/agent systems, and agentic process transformations for CPG and retail customers, with a focus on measurable business value.