AI Director

Jobtailor; Deutschland; Remote; EUR 120.000 - 190.000; Vollzeit

Zusammenfassung

Futurice seeks a senior AI architect to lead production AI systems, with emphasis on agentic applications and retrieval systems. You will guide technical direction, mentor teams, and engage with senior client stakeholders in regulated sectors.

You will shape opportunities, design scalable architectures, and contribute to the firm’s market presence through speaking and collaboration across Europe. Experience with cloud platforms and data pipelines is essential.

Qualifikationen

• Around 10+ years of experience in technology and software delivery.
• 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 and taking LLM-based systems into production.
• Experience with agentic architecture, including tool use and planning loops.
• Expertise in context engineering, retrieval strategy, and cost trade-offs.
• Experience with AI evaluation, observability, and regression testing.

Aufgaben

• Set the technical direction for AI and data work across Futurice UK.
• Ensure quality of AI and data solutions built for clients.
• Architect and build production AI systems, including agentic apps and data platforms.
• Establish evaluation methods for AI-system quality, cost, latency and risk.
• Advise client leadership on AI strategy, operating models, and build-versus-buy decisions.
• Design governance, privacy, security, and responsible AI practices into projects.
• Lead technical shaping of opportunities, including qualification, design, estimation, and pitches.
• Contribute to Futurice profile through writing and speaking.
• Grow UK AI capability through mentoring, training, and hiring.
• Collaborate with the wider Futurice AI community across Europe.
• Shape client opportunities and lead technical responses to proposals.

Kenntnisse

AI Production

Agentic Architecture

Context Engineering

Retrieval Systems

Multi-Agent Orchestration

Observability

Data Pipelines

Python

SQL

ML & Data Science

Software Design

Team Leadership

Client Engagement

Communication

Problem Solving

Tools

AWS

Azure

GCP

Orchestration Tools

Graph-Based Approaches

AI Tooling

Jobbeschreibung

• 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

Core Competencies

Demonstrates expertise in architecting and building production AI systems, with a strong focus on agentic applications and retrieval systems. Proven ability to lead technical direction, mentor teams, and engage in strategic discussions with clients in regulated sectors.

Highest-signal resume keywords

• AI System Production


• Agentic Architecture


• Context Engineering


• AWS, Azure, or GCP


• Business Development

ATS Optimization Keywords

Hard Skills

• Python


• SQL


• Machine Learning


• Data Science


• AI Evaluation


• Data Modernisation


• Hybrid Search


• Model Selection


• Data Quality


• Software Design

Soft Skills

• Mentoring


• Client Engagement


• Team Leadership


• Communication


• Problem Solving

Industry Keywords

• Regulated Sectors


• Responsible AI


• AI Security


• Data Contracts


• Data Lineage

Tools & Technologies

• AWS


• Azure


• GCP


• Data Pipelines


• Orchestration Tools


• AI Tooling


• Graph-Based Approaches


• Retrieval Systems


• Multi-Agent Orchestration


• Observability Tools