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Project overview
DataArt AI Lab is looking for a Senior AI Consultant to join its core team and support initiatives focused on AI‑driven transformation. The role involves close collaboration with AI Lab leadership and cross‑functional teams to design and implement AI solutions that enhance productivity, enable smarter workflows, and drive innovation across different domains and industries.
Position overview
DataArt’s AI Lab helps organizations turn AI from experimentation into transformation with practical, scalable solutions that drive real business outcomes. The role blends strategic thinking with hands‑on execution, and offers the opportunity to shape how AI is delivered at scale across industries.
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 (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 (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.
Benefits
- Vacation in accordance with local laws; encouraged to take proper rest.
- Health insurance for employee and loved ones.
- Co‑working events: large corporate parties and many small get‑togethers.
- Support for solving technical and everyday problems at work.
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