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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and designing AI platforms, particularly in LLM-powered systems, while ensuring compliance with regulated financial product standards. Proven ability to lead technical teams, mentor engineers, and translate complex business goals into actionable strategies.
Highest-signal resume keywords
LLM-Powered Systems DesignAI Evaluation MethodologyPython ProgrammingTechnical LeadershipPrompt Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Model OrchestrationAgentic WorkflowsRAGTool IntegrationRegression DetectionDistributed SystemsAPIsCloud InfrastructureFine-TuningCost and Latency Monitoring
Soft Skills
Planning and PrioritisationCommunicationConflict ResolutionSelf-MotivatedOrganisational Skills
Industry Keywords
Financial Product StandardsOperational ExcellenceArchitectural StandardsCross-Functional CollaborationSafety and Fairness Considerations
Tech Stack
Tools & technologiesCloudDistributed SystemsPython
About the role
Key responsibilities & impact- Architect and design core AI platform components, including model orchestration, RAG, agentic workflows, prompt management and context management
- Lead end-to-end development of LLM-powered Wealth Advisor customer experiences
- Design systems for tool integration, deployment, monitoring and production iteration
- Build AI evaluation systems with golden datasets, LLM-as-judge grading, regression gates and offline-to-online metric correlation
- Design guardrails, safety and observability layers, including tracing, cost and latency monitoring, content controls and action controls
- Drive the AI strategic vision and roadmap
- Evaluate emerging models, tools and techniques
- Promote architectural standards, engineering best practices and operational excellence across teams
- Mentor Senior Engineers and other team members
- Identify root causes of model regressions and architectural bottlenecks
- Develop short-term mitigations and long-term strategic resolutions
- Partner with Staff Engineers, Product Managers, Data Scientists and Compliance
- Design AI solutions that support growth while meeting regulated financial product standards
Requirements
What you’ll need- Proven track record of technical leadership
- Experience designing, shipping and operating LLM-powered systems in production at scale
- Hands-on experience with agentic systems, tool use, orchestration and multi-step planning
- Experience with RAG and retrieval pipelines
- Experience with prompt engineering
- Experience with fine-tuning where it adds value
- Rigorous AI evaluation methodology and regression detection
- Strong software engineering fundamentals
- Experience with Python, distributed systems, APIs and cloud infrastructure
- Ability to balance model capability against cost, latency and reliability
- Strong planning and prioritisation skills
- Ability to translate business goals into actionable technical strategies
- Ability to challenge product decisions with data
- Ability to communicate complex technical, architectural and organisational challenges to technical and non-technical executives
- Experience working within cross-functional and collaborative teams
- Ability to facilitate technical decision-making and resolve conflicts across teams
- Self-motivated and self-managing, with excellent organisational skills
- Awareness of safety, fairness and regulatory considerations is a strong plus
Benefits
Comp & perks- Stock options
- Private health insurance
- Annual training budget
- Plum Max subscription for yourself and Boost for 2 friends or family members
- Referral scheme: earn competitive rewards up to 4k
- Flexible approach to remote working
- Team breakfasts and team lunches
- 25 days holiday + bank holidays
- 45 work-from-anywhere days
- 2 weeks & 6 weeks sabbatical after 4 years and 8 years respectively
- Enhanced parental leave
- Wedding allowance
- 1 paid volunteering day annually
- Annual team trip
- A fun, inclusive company culture