Sr Staff AI Software Development Engineer in England

We are seeking an experienced technical leader who can drive our AI Recommender System engineering function. This individual should bring significant experience in AI agent systems embedded within software tools for making live, context-aware recommendations for documentation links and/or suggestions completing partial user entries. The successful candidate will take responsibility for the recommender panel and related functions within our cloud-based electronic system design (ESD) tools. They will build upon our existing small team, define processes, and set technical direction.

What You’ll Do

• Own the recommender AI engineering function: Define technical strategy, architecture, and roadmap based upon functional requirements set by product manager.
• Build and manage the team: Recruit, onboard, and develop AI engineers; establish team structure, processes, and best practices.
• Establish engineering standards: Create workflows, code review processes, testing frameworks, and documentation practices for ML/AI systems.
• Bridge the gap: Translate between ML engineering and business stakeholders; educate leadership on AI capabilities and limitations.
• Hands‑on technical leadership: Architect and build production ML systems while mentoring team members.

Required Qualifications

• 8-10 years in production‑grade software systems, building and leveraging AI/ML components, and significant technical and people management experience.
• PhD or Masters in AI/ML or adjacent field.
• Proven ability to establish AI engineering practices in organizations without core AI/ML expertise.
• Self‑directed and autonomous: Comfortable operating with ambiguity and building structure from the ground up.
• AI/ML technical expertise: Fine‑tuning foundation LLM and related models (SFT, RLHF, DPO, etc.), MLOps and production ML infrastructure, PyTorch, HuggingFace Transformers ecosystem, Vector databases, RAG architectures, Cloud software infrastructure experience (AWS/Azure, Databricks, Terraform, Elasticsearch, etc.).
• Communication skills: Ability to explain complex ML concepts to non‑technical stakeholders.

Highly Valued

• Domain expertise in circuit diagrams, PCB schematics, or electronic engineering.
• Knowledge of Graph Neural Networks (GNN) concepts.
• Track record of creating engineering processes and teams from scratch.

Renesas offers a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre‑tax commuter benefits, life insurance, AD&D, and pet insurance. In addition to elective benefit options, benefited employees receive company‑paid life insurance and AD&D, LTD, short‑term medical benefits as well as paid sick time, paid holidays, and accrued paid vacation. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by federal, state or local law.