Senior Applied Value Engineer – CPG & Retail

NextGenEnergyJobs; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Celonis is seeking a Senior Solution Architect in New York to drive AI-enabled pre-sales and post-sales engagements for CPG and retail clients. You will translate AI strategies into scalable, enterprise-grade solutions and lead demonstrations and ROI validation.

You will guide Proof-of-Value projects, integrate with enterprise data, and champion autonomous AI agents with RAG-based workflows. 8+ years in the field and deep domain knowledge are required.

Qualifications

• 8+ years leading end-to-end technical pre-sales and post-sales engagements in CPG/retail/e-commerce.
• Deep understanding of retail/CPG processes (Inventory, Supply Chain, Trade Promotion, Category Management).
• Proficient in Python and ML libraries (LangChain, pandas, sklearn, PyTorch).
• Strong presentation and storytelling to C-levels and senior leaders.
• Bachelor’s degree; Master’s preferred.
• Hands-on with LLM orchestration, RAG, function calling, prompt engineering.
• OSS LangChain or LlamaIndex knowledge.
• Experience with AWS Bedrock, Azure AI, GCP Vertex; enterprise data (SAP, Salesforce, Snowflake).
• GenAI techniques experience for enterprise use cases.

Responsibilities

• AI Discovery & Solutioning: translate business requirements into AI solutions for customers.
• Pre- and Post-Sales Execution: manage full lifecycle from discovery to adoption.
• Hackathons & Prototyping: build prototypes during customer hackathons.
• Agentic Process Transformation: enable autonomous AI agents with ROI focus.
• Proof Projects: deliver secure, scalable LLM/agent systems with RAG and guardrails.
• Domain & Industry Leadership: be SME for CPG and retail.
• Smart Warehouse & Fulfillment Operations: optimize WMS, RFID, micro-fulfillment.
• Omnichannel & DTC Transformation: advise on omnichannel and returns, pricing, loyalty integrations.
• Sustainable Supply Chain & Eco-Fulfillment: strategy for Scope 3, cold-chain, waste.

Skills

Pre-sales leadership

Post-sales execution

Technical discovery

AI/LLM

Python & ML

Communication skills

Domain knowledge: Retail/CPG

Education

Bachelor’s degree

Master’s degree in CS/analytics/engineering/math

Tools

LangChain

pandas

pydantic

sklearn

PyTorch

AWS Bedrock

Azure AI

GCP Vertex

Snowflake

SAP

Salesforce Commerce Cloud

Job description

At Celonis, we believe our people make us who we are and that “The Best Team Wins”.

Key Responsibilities

• AI Discovery & Solutioning: Understand customers' AI strategies and sector-specific challenges (e.g., demand forecasting, out-of-stock prevention, shelf placement, trade spend analytics). Find the best problem-solution fit and translate business requirements into innovative, needle-moving solutions.
• Pre- and Post-Sales Execution: Drive the full customer lifecycle. Lead technical discovery and capability demonstrations during pre-sales, and remain deeply involved post-sale to guide implementation and ensure agreed value and adoption thresholds are met.
• Hackathons & Prototyping: Leverage cutting-edge AI technologies to rapidly build creative prototypes during customer hackathons. Solve critical pain points specific to inventory routing, fulfillment, and promotional alignment with a proactive, "can-do" approach.
• Agentic Process Transformation: Shift customers from traditional, rule-based automation to autonomous AI agents empowered by Process Intelligence (e.g., autonomous inventory replenishment, intelligent deduction management), ensuring real ROI on AI deployments.
• Proof Projects: Architect and execute business-critical Proof-of-Value projects. Deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails, integrating seamlessly with enterprise retail data, identity protocols, and consumer data privacy frameworks.
• Domain & Industry Leadership: Serve as the primary technical subject matter expert for the CPG and retail sectors. Scale deep domain expertise across the organization to deliver high-value solutions for global brands, mega-retailers, and distribution partners.
• Smart Warehouse & Fulfillment Operations: Champion modern distribution initiatives. Specialize in warehouse management system (WMS) optimization, RFID inventory tracking, micro-fulfillment centers, dynamic order routing, and fulfillment center workflows for high-velocity retail operations.
• Omnichannel & DTC Transformation: Act as a technical advisor on the transition to seamless omnichannel and Direct-to-Consumer (DTC) execution. Optimize order-to-cash cycles, customer returns processing, dynamic pricing models, and loyalty program integrations.
• Sustainable Supply Chain & Eco-Fulfillment: Drive technical strategy for sustainable retail operations. Focus on tracking Scope 3 emissions, optimizing cold-chain efficiency, reducing perishable food waste, and streamlining sustainable packaging workflows across the distribution network.

Requirements

• Experience: 8+ years leading end-to-end technical pre-sales and post-sales engagements within the CPG, retail, or e-commerce space. Proven ability to define AI roadmaps, build compelling ROI/TCO business cases, and guide technical implementations to value realization.
• Domain Expertise: Deep understanding of retail and CPG business processes. In-depth experience in domains such as Inventory Management, Supply Chain, Trade Promotion, Category Management, or Loss Prevention, with the ability to translate strategic requirements into impactful solutions.
• Technical Proficiency: Solid knowledge of Python and common ML libraries (LangChain, pandas, pydantic, sklearn, PyTorch), as well as data engineering tools relevant to handling large-scale POS, transactional, and inventory data.
• Communication Skills: Strong presentation and storytelling skills for both internal and external stakeholders (C-level executives, VPs of Merchandising, and Supply Chain Leaders), capable of leading technical whiteboarding sessions, formal readouts, and live demos.
• Education: Bachelor’s Degree required; Master's Degree in computer science, business analytics, engineering, mathematics, or a related field (or equivalent work experience) preferred.
• Agentic Systems: Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, with rigorous evaluations for enterprise consumer environments.
• LLM Ecosystem: Working knowledge of OSS packages like LangChain or LlamaIndex.
• Cloud & Enterprise Stack: Experience deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex) and familiarity with enterprise data structures (SAP, Salesforce Commerce Cloud, Snowflake, POS formats).
• Generative AI: Expertise in GenAI techniques (RAG, few-shot learning, multi-agent orchestration, multimodal understanding) to build high-impact use cases like automated customer service workflows, intelligent product catalog enrichment, or automated promotion generation.
• Sponsorship is not available for this role.
• The base salary range below is for the role in the specified location, based on a Full Time Schedule. Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location.
• The base salary range below is for the role in New York, based on a Full Time Schedule.