2 hours ago
London, United KingdomStaff+
Responsibilities
- Own technical execution from discovery through production, including building, assessing, and hardening AI prototypes.
- Design and govern reusable agentic AI patterns covering orchestration, tool use, memory, retrieval, prompt engineering, and production guardrails.
- Integrate AI into enterprise systems through APIs and data pipelines while addressing security, data governance, and data residency.
- Codify validated solutions into reusable patterns, reference implementations, and starter kits for adoption across functions.
- Define requirements, provide design input, write specifications, fix complex bugs, and design complex data models.
- Recommend infrastructure, hosting, data residency, sizing, and budget approaches.
- Establish baselines and measure productivity, cost, and quality outcomes from pilot through scale.
- Manage scope, dependencies, priorities, and blockers while driving delivery from innovation pilots to production.
- Serve as the primary technical contact for external resources and the squad’s coding and AI expert.
- Evaluate emerging technologies, maintain visibility of AI pilots, and identify candidates for reuse.
- Mentor and elevate engineers and influence senior management, stakeholders, and cross-functional teams.
Requirements
- 10+ years of software engineering experience with hands-on AI system design, development, or integration and a record of taking enterprise AI prototypes to production.
- BS in Engineering, Computer Science, or equivalent experience; an advanced degree is preferred.
- Experience with LLM orchestration, prompt engineering, context-window management, production guardrails, MCP, tool-augmented agents, and enterprise-scale RAG.
- Experience integrating AI into enterprise systems through APIs and data pipelines with strong security, data governance, and data residency practices.
- Experience with AWS, Azure, or GCP and managed AI/ML services.
- Knowledge of relational, columnar, and vector data stores and sound architectural principles.
- Proficiency in Python, Java, TypeScript/JavaScript, SQL, and relevant AI SDKs.
- Experience planning and sequencing delivery, managing scope and dependencies, removing blockers, and coordinating internal and external resources.
- Ability to communicate with senior management and cross-functional stakeholders, build buy-in, and drive technical decisions.
- Budget awareness and experience measuring productivity, cost, and quality outcomes.
Benefits
- Comprehensive pension plan.
- Generous vacation entitlement and option for sabbatical leave.
- Maternity, paternity, adoption, and family care leave.
- Personal Choice budget, employee discounts, recruitment introduction reward, and Employee Assistance Program.
- Shared parental leave, study assistance, wellbeing initiatives, and internal communities and networks.
- Flexible working hours and work/life balance support.
- Country-specific benefits may apply.