Agentic AI Engineer Aerospace; Entry Level

Position: Agentic AI Engineer for Aerospace (Entry Level)
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

Job Title:

Agentic AI Engineer for Aerospace (Entry Level)

Job Location:

Bellevue, WA (Hybrid)

About the job you're considering

The Agentic AI Engineer role focuses on designing and delivering intelligent, AI driven engineering solutions for Automotive and Aerospace customers. This position blends MBSE, CAD/PLM (3

DEXPERIENCE, CATIA, No Magic) expertise with LLM based agent development to enable design automation, knowledge extraction, digital thread integration, and decision support. The role requires strong mechanical engineering fundamentals and hands on experience building scalable, enterprise grade GenAI solutions.

Your Role

* Design and develop LLM based intelligent agents using Python and modern agent frameworks.

* Build AI driven solutions for engineering use cases such as knowledge extraction, design automation, and model transformation.

* Develop and integrate MBSE workflows using No Magic / Cameo Systems Modeler and SysML.

* Basic knowledge on CATIA V5/V6 and 3

DEXPERIENCE automation solutions using EKL, CAA, Python, and macros.

* Integrate CAD, MBSE, and PLM systems to enable digital thread and digital engineering workflows.

* Develop Retrieval Augmented Generation (RAG) pipelines for engineering knowledge systems.

* Design APIs and orchestrate workflows for engineering copilots and assistants.

* Collaborate with cross functional teams to architect scalable, enterprise grade engineering solutions.

* Develop POCs, technical documentation, and solution architectures for customer engagements.

* Support cloud based deployment of AI solutions, primarily on Azure environments.

Your Skills and Experience

* Bachelor's degree in Mechanical Engineering, Systems Engineering, Computer Science, or related discipline.

* Strong mechanical engineering fundamentals with system level understanding.

* Basic experience with 3

DEXPERIENCE platform (ENOVIA, DELMIA, CATIA Engineering & Systems apps).

* Basic experience with CATIA V5/V6 expertise in part design, assembly, drafting, DMU, and kinematics.

* SysML modeling using No Magic / Cameo Systems Modeler.

* Experience with Magic Grid framework, model validation, traceability, and architecture development.

* Knowledge of BOM, EBOM, MBOM, and lifecycle management.

* AI & Software Development

* Python (advanced) for AI agent and automation development.

* Experience with LLM agent frameworks (Lang Chain, Llama Index, Auto Gen, or similar).

* Development of RAG pipelines and domain specific engineering copilots.

* REST API development and workflow orchestration.

* Exposure to Azure/OpenAI services and LLM deployment or fine tuning.

* Familiarity with Git, CI/CD pipelines, Docker, and Dev Ops basics.

* Strong analytical thinking and problem-solving abilities

* Excellent written and verbal communication skills

* Ability to work effectively in cross-functional teams

* Self-motivated with a growth mindset and eagerness to learn

* Adaptability to rapidly evolving technologies and requirements

* Attention to detail and commitment to delivering high-quality work

* Interpersonal skills and teamwork orientation

* Proactive approach to tasks and challenges

* Customer Service Orientation

The base compensation range for this role in the posted location is: $43,984 - $105,600/Year

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors…