Principal Engineer – AI-Enabled Embedded Software
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Principal Engineer - AI-Enabled Embedded Software / GenAI Orchestration / Agentic AI / Automotive
We are currently partnered with a technology organisation seeking a Principal Engineer / AI Architect to drive the integration of Generative AI and agentic AI solutions into embedded software engineering. This role focuses on architecting AI-enabled engineering platforms and orchestrating LLMs, AI agents and development tools across the automotive software development lifecycle.
Key responsibilities
- Define the architecture for AI-enabled embedded software engineering platforms.
- Design orchestration across LLMs, AI agents and engineering tools.
- Integrate AI into requirements, architecture, coding, testing, validation and documentation.
- Develop agentic AI solutions for code generation, testing, code reviews, root-cause analysis and workflow automation.
- Integrate AI workflows with Jira, Confluence, Bitbucket and CI/CD pipelines.
- Apply AI to embedded, real-time and safety-critical automotive software development.
- Ensure AI solutions are secure, scalable, traceable and governed.
- Support engineering processes aligned with ASPICE, MISRA, ISO 26262 and ISO/SAE 21434.
- Provide technical leadership and drive adoption of AI-enabled engineering practices across teams.
Key requirements
- University degree in Electrical Engineering, Computer Science, Artificial Intelligence or a related technical field.
- Several years of relevant industry experience.
- Strong experience with Generative AI, LLMs, RAG, prompt engineering and agentic AI systems.
- Hands-on experience with AI orchestration frameworks such as LangChain, AutoGen or CrewAI.
- Strong programming skills in Python and C/C++.
- Experience designing AI platforms, automation solutions and CI/CD workflows.
- Good understanding of Jira, Confluence, Bitbucket and Azure and/or AWS.
- Strong background in embedded software, RTOS and automotive software development.
- Knowledge of ASPICE, MISRA, ISO 26262 and ISO/SAE 21434.
Keywords
Principal Engineer / AI Architect / AI-Enabled Embedded Software / Generative AI / GenAI / AI Orchestration / Agentic AI / Large Language Models / LLMs / Retrieval-Augmented Generation / RAG / Prompt Engineering / LangChain / AutoGen / CrewAI / AI Engineering Platforms / AI Automation / Python / C / C++ / Embedded Software / Real-Time Operating Systems / RTOS / Automotive Software Development / Software Development Lifecycle / Requirements Engineering / Software Architecture / Code Generation / Automated Testing / Code Review / Root-Cause Analysis / Workflow Automation / Jira / Confluence / Bitbucket / CI/CD / Azure / AWS / ASPICE / MISRA / ISO 26262 / ISO/SAE 21434 / Safety-Critical Software / AI Governance / Secure AI Systems / Technical Leadership
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