Senior AI Consultant
- London
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Project overview
Position overview
As part of our AI & ML team, you’ll lead and contribute to AI strategy and implementation initiatives — from roadmap design and maturity assessments to co-building pilots and reusable solution patterns. You’ll work across industries and functions, applying GenAI, data science, and modern cloud-native architectures to solve complex, high-impact challenges. This role blends strategic thinking with hands-on execution, and offers the opportunity to shape how AI is delivered at scale.
Responsibilities
- Lead AI strategy engagements from opportunity discovery through roadmap development, aligning AI adoption with client business goals, tech stack, and operating model
- Shape reusable solution architectures using modular components, copilots, and delivery accelerators from the Connect AI framework to ensure scalable, cross-client value
- Translate complex AI capabilities into business impact, working closely with CxO-level stakeholders to prioritize initiatives and quantify ROI
- Design and facilitate client workshops to align on goals, surface high-impact use cases, and assess AI maturity across technical, organizational, and data dimensions
- Contribute to DataArt’s evolving AI offerings, including vertical accelerators, governance models, and productized services with pricing and go-to-market relevance
Requirements
- 3–5+ years in AI, digital transformation, or strategy consulting, ideally in client-facing roles within tech-driven or innovation-led engagements
- Proven ability to define enterprise AI strategies and roadmaps, including maturity assessments, capability planning, and use case prioritization
- Strong business and technical fluency, with the ability to bridge AI/ML concepts and modern architectures with measurable executive-level business value
- Experience designing reusable toolkits, delivery frameworks, or productized services — ideally contributing to IP-backed consulting models
- Familiarity with GenAI ecosystems (e.g., LLMs, RAG, prompt engineering, agents) and their application across industry verticals and business functions
- Solid understanding of technical principles and architecture of ML/LLM applications and AI agents
- Hands-on experience with major cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML service offerings
- Strong communication skills and effective stakeholder management
- Master’s degree in Computer Science, AI, Machine Learning, or a related field
Nice to have
- Exposure to AI monetization models, including usage-based pricing, enablement fees, or outcome-driven commercial constructs
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We offer
Vacation
As per the laws of your country. We do ask you to take a proper rest
Health insurance
We help you to take out an insurance policy for you and your loved ones
Sick pay
10 days without a doctor's note, afterwards - as per the laws of your country
Time off for state holidays
According to the official calendar, regardless of the client’s schedule
Pleasant environment
Two large corporate parties and many small get-togethers for colleagues
Comfort service
Solving technical and everyday problems at work
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