Tech Lead - AI Engineering

We are seeking a Tech Lead with deep experience in AI/ML to shape architecture and lead delivery in a rapidly evolving domain. This role is ideal for a senior engineer from a leading AI lab (Anthropic, OpenAI, Google DeepMind, and the like) or Big Tech (Google, Microsoft, Amazon, Meta, Nvidia, and the like), or an exceptional researcher (e.g. from IIT, Stanford University, UCL, or equivalent) ready to step into a high-impact leadership position. This is a foundational leadership role with equity participation, offering significant upside.

Learn more about the general tasks related to this opportunity below, as well as required skills.

Key Responsibilities Architecture & Build Define and lead system architecture (back-end, APIs, and lightweight front-end systems) Build scalable AI assurance platforms integrating open-source testing and evaluation frameworks Deliver portable, production-ready solutions across cloud environments (AWS, Azure, GCP) Design evaluation frameworks for foundation models and AI agents AI Model Testing & Assurance Build, evaluate, and stress-test models for fairness, robustness, explainability, and governance Develop benchmarking pipelines, automated evaluation systems, and continuous monitoring infrastructure Produce audit-ready artefacts, dashboards, and reports for regulators, clients, and standards bodies Client Relationships & Communication (Critical) Act as a technical bridge between engineering, clients, and regulators Lead client-facing engagements, pilots, and workshops with senior stakeholders Translate complex AI governance frameworks into clear, actionable engineering solutions Build long-term relationships with enterprise clients, financial institutions, and public sector organisations Communicate technical concepts effectively to both technical and non-technical audiences Collaboration with Global AI Leaders Partner with teams and ecosystems connected to leading AI labs such as OpenAI, Google DeepMind, Anthropic, Meta AI, and Microsoft Research Engage with frameworks shaped by organisations like OECD and evolving global standards Contribute to the long-term technical roadmap of AI assurance platforms

Skills & Experience Proven track record building, training & evaluating AI/ML models (industry, research, or advanced academic work) Experience with AI testing, assurance, or evaluation tools strongly preferred xsgimln Strong Python skills and familiarity with modern ML frameworks (e.g. PyTorch, TensorFlow) Cloud experience (AWS, Azure, or GCP) including deployment and scaling of AI systems Familiarity with Responsible AI frameworks (EU AI Act, NIST AI RMF) Hands-on experience with explainability and fairness tools (e.g. SHAP, LIME, AIF360, ART) Excellent communication skills and client-facing experience Strong documentation and stakeholder management abilities Intellectual curiosity, ownership mindset, and ambition to grow into senior leadership

Why Join Direct exposure to top-tier AI labs, regulators, and enterprise clients Opportunity to own architecture, influence strategy, and build from zero to one Equity participation aligned with company growth