Senior Applied AI Engineer -Consumer Goods

Celonis; New York (NY); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Generous PTO

Hybrid working options

Company equity (RSUs)

Comprehensive benefits

Job summary

Celonis is looking for an Applied AI Engineer in New York specializing in CPG and Fleet Logistics. The candidate will solve complex supply chain problems, prototype AI solutions, and lead customer engagement throughout the product lifecycle. Key qualifications include 5+ years of relevant experience, expertise in generative AI, and strong knowledge of supply-chain processes. You will work directly with enterprise clients to ensure effective deployment of solutions that improve efficiency and operational effectiveness.

Qualifications

• 5+ years of experience in Supply Chain or related fields.
• Deep understanding of supply-chain business processes.
• Expertise in generative AI techniques.

Responsibilities

• Understand clients’ AI strategies and supply-chain challenges.
• Lead technical discovery during the customer lifecycle.
• Prototype solutions in client hackathons.

Skills

AI solutioning

Pre-sales and post-sales engagements

Python programming

Generative AI techniques

Strong presentation skills

Education

Bachelor’s Degree

Master’s Degree in related fields

Tools

Python libraries

ML tools (LangChain, pandas, etc.)

Job description

Role Description

• As an Applied AI Engineer specializing in CPG and Fleet Logistics, you will push the envelope in solving business-critical problems for some of the world's most recognized consumer brands and global mobility networks. You will work closely with our most strategic enterprise clients, understanding their complex objectives—ranging from high-velocity beverage manufacturing and Direct Store Delivery (DSD) optimization to massive‑scale fleet lifecycle management and dynamic asset routing. You will build Celonis solutions using the world’s leading Process Intelligence (PI) platform in partnership with top AI and ML technology leaders (e.g., Microsoft, OpenAI, Databricks).
• With Celonis’s Process Intelligence platform, we feed operational context to AI so it understands the intricate realities of our customers’ massive supply chains, vehicle fleets, and distribution networks. This enables them to industrialize AI, unlocking real ROI on deployments at scale—ensuring products are always on the shelf and vehicles are always ready for the customer. You will prototype these solutions, demonstrate their value to global Chief Supply Chain Officers (CSCOs) and Fleet Operations Executives, and ensure successful implementation, adoption, and value realization across these premier global networks.

Key Responsibilities

• AI Discovery & Solutioning: Understand clients’ overarching AI strategies and the distinct supply‑chain challenges inherent to high‑volume CPG and fleet mobility (e.g., predictive demand forecasting, route optimization, fleet predictive maintenance, dynamic asset allocation, and mitigating raw material volatility). Translate these complex, physical‑world challenges into innovative AI solutions that drive measurable impact.
• Pre‑ and Post‑Sales Execution: Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the expansion/pre‑sales cycle within various manufacturing, distribution, and fleet management business units. Remain deeply involved post‑sale to guide implementation and ensure agreed value, efficiency, and adoption thresholds are reached.
• Hackathons & Prototyping: Think creatively and tackle legacy logistics and telematics networks. Leverage cutting‑edge AI technologies to rapidly build creative prototypes in client hackathons, solving critical pain points across inventory allocation, fleet routing, and DSD execution.
• Agentic Process Transformation: Support enterprise clients in achieving tangible ROI from AI at scale. Enable a shift from traditional rule‑based automation to autonomous AI agents empowered by the Celonis Process Intelligence Platform (e.g., autonomous fleet rebalancing, intelligent shipment exception handling, or automated trade‑promotion deductions).
• Proof Projects: Execute end‑to‑end business‑critical Proof‑of‑Value projects. Architect and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails, ensuring seamless integration with complex enterprise ERPs (e.g., SAP), TMS, WMS, and massive IoT/telematics data streams.
• Domain & Industry Leadership: Serve as the internal and external technical subject‑matter expert for CPG and Mobility Supply Chains, scaling knowledge across the organization regarding the nuances of fast‑moving consumer goods and asset‑heavy fleet operations.

Requirements

• 5+ years of experience leading technical pre‑sales and post‑sales engagements specifically within highly complex Supply Chain, CPG/Beverage, or Fleet Logistics environments. This includes defining AI roadmaps, building compelling ROI/TCO business cases, and guiding technical implementations through to value realization.
• Deep understanding of supply‑chain business processes native to high‑volume manufacturing and mobility (such as Direct Store Delivery (DSD), Order‑to‑Cash, Procure‑to‑Pay, Fleet Lifecycle Management, or Sales & Operations Planning) with the ability to translate high‑level operational needs into specific AI use cases.
• Expertise in generative AI techniques (RAG, few‑shot learning, prompt engineering, multi‑agent orchestration, multimodal understanding, or fine‑tuning) used to build high‑impact use cases (e.g., intelligent dispatch assistants or automated extraction of data from complex vendor contracts and logistics documentation).
• Solid knowledge of Python and common ML libraries (LangChain, pandas, pydantic, sklearn, PyTorch) as well as data‑engineering tools and technologies for handling massive, high‑velocity transactional and IoT datasets.
• Strong presentation skills to both internal and external stakeholders (including supply‑chain executives, logistics directors, and enterprise IT leaders), whether leading technical white‑boarding sessions or formal readouts and demos.
• Bachelor’s Degree required; Master’s Degree in computer science, supply‑chain management, logistics, engineering, mathematics, or related fields, or equivalent work experience preferred.

Nice to have (big plus)

• Hands‑on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, ensuring safety through rigorous evaluations suited for enterprise‑grade supply‑chain environments.
• Familiarity with CPG and fleet‑specific systems (SAP APO/IBP, Blue Yonder, Manhattan, or major telematics/fleet tracking platforms).
• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
• Experience deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex).

Visa Sponsorship

Visa sponsorship is not offered for this role.

What Celonis Can Offer You

• Pioneer Innovation: Work with the leading, award‑winning process mining technology, shaping the future of business.
• Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities.
• Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, and dedicated volunteer days.
• Prioritize Your Well‑being: Access to resources such as gym subsidies, counseling, and well‑being programs.
• Connect and Belong: Find community and support through dedicated inclusion and belonging programs.
• Make Meaningful Impact: Be part of a company driven by strong values that guide everything we do.
• Collaborate Globally: Join a dynamic, international team of talented individuals.
• Empowered Environment: Contribute your ideas in an open culture with autonomous teams.

About Us

Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry‑leading process mining and AI technology and augments it with business context to give customers a living digital twin of their business operation. It’s system‑agnostic, unbiased, and provides a common language for understanding and improving businesses. Celonis enables its customers to continuously realize significant value across the top, bottom, and green line. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.