AI Director
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Job Description
AI Director leading production AI architecture, governance, and client strategy at Futurice, a data-and-AI consultancy. Growing UK capability through consulting, business development, mentoring, and hiring.
Responsibilities:
- Set the technical direction for AI and data work across Futurice UK
- Be responsible for the quality of AI and data solutions built
- Architect and build production AI systems, including agentic applications, retrieval and knowledge systems, applied ML, and underlying data platforms
- Establish evaluation methods for AI-system quality, cost, latency, and risk
- Advise client leadership on AI strategy, operating models, build-versus-buy, and moving from pilot to production
- Design governance, privacy, security, and responsible AI practices into projects
- Lead technical shaping of new opportunities, including qualification, solution design, estimation, and pitches
- Contribute to Futurice’s profile through writing and speaking
- Grow UK AI capability through mentoring, training, and hiring
- Work with the wider Futurice AI community across Europe
- Identify and shape client opportunities and lead the technical side of proposals and pitches
Requirements:
- Around 10+ years of experience in technology
- Several years in a senior, client-facing role
- Recent hands-on experience delivering AI systems into production
- Experience in regulated sectors
- Experience with platform and data modernisation
- Open-source contributions or published work
- Experience productising an offering
- Experience taking LLM-based and agentic systems into production and supporting them afterwards
- Experience with agentic architecture, including tool use, planning and execution loops, multi-agent orchestration, memory and state, human-in-the-loop checkpoints, and failure recovery
- Expertise in context engineering, including retrieval strategy, chunking and compaction, caching, structured inputs, freshness, and cost trade-offs
- Experience with AI evaluation and observability, systematic error analysis, regression suites, and tracing agent behaviour in production
- Experience with retrieval and knowledge systems, hybrid search, re-ranking, retrieval evaluation, and graph-based approaches
- Knowledge of model selection and adaptation, fine-tuning, distillation, and RL-based post-training
- Experience with classical ML and data science, including forecasting, optimisation, causal inference, recommendation, and anomaly detection
- Experience with data and platform foundations, including pipelines, orchestration, lakehouse and streaming patterns, data contracts, data quality, semantic layers, and lineage
- Hands-on experience with AWS, Azure, or GCP
- Knowledge of AI security, including prompt and indirect injection, tool-use and permission design, data exfiltration paths, sandboxing, agent identity, least privilege, and red-teaming
- Strong Python and SQL skills
- Sound software design instincts, testing discipline, code review, and comfort working in an existing codebase
- Working knowledge of coding agents and AI tooling
- Comfortable in technical discussions with engineering teams and strategic discussions with senior client stakeholders
- Experience leading multi-disciplinary teams
- Ability to frame and shape engagements, including approach, phasing, team shape, estimates, and risks
- Business development experience, including identifying opportunities and leading technical responses to proposals and pitches
- Ability to work with ambiguity
- Experience mentoring, running internal training, documenting learning, and interviewing and assessing AI and data talent
Benefits:
- A supportive, values-driven team culture where individuality is celebrated
- A personal learning budget (£1200/year)
- Mentoring and knowledge-sharing sessions
- Flexible, remote-first working with colleagues across the UK and EU
- Private health insurance (WPA)
- Pension contributions (6%+)
- Wellbeing support (£50/month via Juno)
- 25 days holiday + bank holidays + your birthday off
- Holiday increasing by 1 day per year after 3 years’ service, capped at 30 days
- Tiered parental leave policy (16 weeks maternity, 4 weeks partner, full pay depending on tenure)
- EV salary sacrifice scheme (depending on tenure)
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