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  3. Senior Applied AI Engineer Value Engineering - Life Sciences
Celonis logo

Senior Applied AI Engineer Value Engineering - Life Sciences

Celonis
New York, New York
Full Time
Posted March 10, 2026
$131k - $154k
Not Specified
Apply Now

Application opens on company website

Job Description

The Applied AI Engineer at Celonis is responsible for developing innovative AI solutions for strategic customers by leveraging process intelligence and cutting-edge AI technologies, with a focus on solving business-critical problems, prototyping, and ensuring successful deployment and adoption of AI systems.

Key Responsibilities

  • Understand customer AI strategies and translate requirements into innovative AI solutions.
  • Prototype AI solutions using cutting-edge technologies and demonstrate their value to stakeholders.
  • Support customers in achieving ROI from AI deployments and enable business process transformation.
  • Execute end-to-end Proof-of-Value projects, including architecture and integration with enterprise data and compliance frameworks.
  • Ensure successful project outcomes by maintaining involvement until value adoption thresholds are met.
  • Specialize in specific domains or industries to scale knowledge and expertise across the organization.

Requirements

  • Minimum of 5 years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI TCO business cases, and prototyping machine learning and generative AI solutions.
  • Understanding of generative AI techniques such as RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases like intelligent chatbots and automated text processors.
  • Understanding of business processes across sectors such as Supply Chain or Finance with the ability to translate high-level business needs into specific AI use cases.
  • Proficiency in Python and common ML libraries such as LangChain, pandas, pydantic, sklearn, PyTorch, as well as data engineering tools and technologies.
  • Strong presentation skills to both internal and external stakeholders, including executives, in settings such as whiteboarding sessions, formal readouts, and demos.
  • Bachelor’s Degree in computer science, engineering, mathematics, or related fields, or equivalent work experience.
  • Experience in end-to-end execution of business-critical Proof-of-Value projects, including architecture, and delivering secure, scalable LLM agent systems with RAG, tools, and guardrails integrating with enterprise data, identity, and compliance frameworks.
  • Ability to stay involved with projects until agreed value adoption thresholds are reached.
  • Knowledge of deploying and monitoring models at scale across major cloud platforms such as AWS Bedrock, Azure AI, or GCP Vertex.
  • Experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, with a focus on safety through rigorous evaluations and guardrails (preferred but not mandatory).
  • Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other open-source packages (preferred but not mandatory).

Benefits & Perks

Base salary range: $131,000 - $154,000 USD (for New York location)
Total compensation package including bonus, commission, equity, and benefits
Hybrid working options
Generous paid time off (PTO)
Company equity RSUs
Comprehensive health, dental, and life insurance
401k retirement plan
Extensive parental leave
Dedicated volunteer days
Gym subsidies
Counseling and well-being programs
Clear career paths and internal mobility
Dedicated learning programs and mentorship opportunities
Inclusive community and support programs
Global collaboration with international teams
Open culture with autonomous teams

Ready to Apply?

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