AI/ML Engineer

Design, develop, and deploy AI-powered applications and solutions leveraging Machine Learning, Generative AI, and Agentic AI solutions. Work closely with architects, data scientists, and business stakeholders to build scalable, secure, and production-ready AI systems.

Role Description & Responsibilities

• AI Solution Development + Develop and implement AI/ML, Generative AI & Agentic solutions for business use cases. + Build applications using LLMs, RAG, AI Agents, copilots, and intelligent automation frameworks. + Support model development, evaluation, deployment, and monitoring activities.
• Data & AI Engineering + Build and maintain data pipelines, embeddings pipelines, and vector databases. + Prepare, transform, and validate data for AI/ML workloads. + Integrate AI services with enterprise applications and APIs.
• Platform & Operations + Support MLOps and LLMOps processes including deployment, monitoring, and performance optimization. + Develop reusable components, prompts, workflows, and AI accelerators. + Contribute to AI platform enhancements and automation initiatives.
• Collaboration & Innovation + Work with cross-functional teams to define requirements and deliver AI solutions. + Evaluate emerging AI technologies, models, and frameworks. + Follow AI governance, security, and Responsible AI guidelines.
• Required Skills + Python and software development fundamentals + Machine Learning, NLP, and data analytics concepts + LLMs, Prompt Engineering, RAG, and AI Agent frameworks + LangChain, LangGraph, LlamaIndex, or similar frameworks + SQL, APIs, and data integration + Docker, Git, CI/CD fundamentals + AWS, Azure, or GCP exposure

Qualifications

• 3–10 years of overall experience in software development, data engineering, AI/ML, or analytics
• 3+ years of hands-on experience in AI/ML and/or Generative AI solutions

What's in It for You

• Work on one of the most technically exciting frontiers in enterprise software — building AI agents and Virtual Companions that operate within the product engineering workflows
• Work at the intersection of deep PLM domain expertise and AI-augmented engineering; a rare combination that will define the highest-value development of the decade.
• Contribute to products used by global industry leaders across 12 sectors, directly influencing how major manufacturers design and build the products we all use.
• Grow in an environment that values engineering craft, domain curiosity, and AI fluency equally; not just raw coding.
• Collaborate with engineering colleagues across the globe as part of a world-class PLM organization.
• Be part of a team actively shaping how AI is integrated into enterprise product engineering - from the inside. Inclusion statement As a game-changer in sustainable technology and innovation, Dassault Systèmes is striving to build more inclusive and diverse teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it’s our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future.