AI Director

🔥 15 hours ago

🇬🇧 United Kingdom – Remote

💵 £90k - £130k / year

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

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Futurice

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2000

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 Series unknown on 2020-01

Consulting • Healthcare • Manufacturing

Futurice is a multidisciplinary digital consultancy that partners with organizations to drive measurable digital transformation. They combine strategy, design, software engineering, data and AI, platform modernization, and managed services to build digital products, AI-driven workflows, and resilient operating models for enterprise clients. Futurice emphasizes agile ways of working, cross-disciplinary teams, and long-term value creation across industries such as automotive, finance, media, and public sector.

📋 Description

• 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)