Head of AI Development (AI Studio)
Ukraine. Poland. Spain. United Kingdom. Georgia. PortugalFull-TimeLead
Salary not disclosed
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Job Details
- Required Skills
- ETLMachine LearningDeep LearningNLPComputer Vision
Requirements
- Production experience designing and delivering AI systems (LLMs, RAG, agentic workflows — not just POCs)
- Non-dogmatic understanding of AI technology boundaries and architectural trade-offs
- Proven client-facing capability: leading discovery, scoping solutions, presenting to executive and technical audiences
- Consultancy mindset: discovery and analysis as value, not just build
- Team leadership experience (3–5+ people)
- Evidence of people growing under their leadership
- Success operating in matrix/federated organizations without direct authority
- Pragmatic R&D skills: bounded research plans, clear success criteria, ROI discipline
- Data architecture literacy: understanding of data pipelines, ETL/ELT patterns, vector databases, data quality, and governance
- Broader AI/ML background beyond GenAI (classical ML, deep learning, CV, NLP)
- Understanding of sales cycles, marketing positioning, account management dynamics
- Recognized technical authority that earns respect from senior AI practitioners
Responsibilities
- Lead technical discovery and solution design for AI opportunities
- Produce solution-grade proposals: architecture, scope, risk assessment
- Present to clients; partner with BizDev on positioning and differentiation
- Build reusable pre-sales assets: reference architectures, case studies, estimation frameworks
- Stand up and operate the AI Studio as first-choice platform for AI-heavy work
- Deliver across models: full ownership, component delivery, advisory, embedded expertise
- Build reusable delivery frameworks and accelerators
- Manage cross-team resource collaboration during ramp-up
- Hire 2–3 engineers in first 6 months, scaling to 5–8 based on demand
- Define team composition balancing pre-sales support with delivery capacity
- Build career paths that attract and retain strong AI engineers
- Lead pragmatic R&D with clear objectives and success criteria
- Contribute to AI community of practice: tech talks, mentoring, knowledge sharing
- Generate external thought leadership: conference talks, case studies, publications
- Connect Studio work with Sales, Marketing, and Account Management
- Collaborate with L&D on AI education for broader engineering staff qualification with AI skills
- Operate as organizational asset — proactive engagement, not isolated silo
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