About the role
Microsoft/Azure - AI Acceleration Lead
MissionMake Tarento the “obvious safe choice” for AI-led enterprise transformation on the Microsoft stack (Azure + M365 + Power Platform) by anchoring pursuits and early value acceleration — turning ambiguity into credible AI use-case wedges, crisp architecture, and fast POCs/pilots, while orchestrating depth from Delivery + Labs when needed.
Interfaces
- Works with: Sales, CS, Delivery Architects, T-Labs experts.
- Lead innovation-led framing for Azure/AI pursuits: articulate the “why now”, the transformation wedge, and the business outcomes (not a cloud migration pitch).
- Identify and shape AI opportunity wedges: shortlist top use cases with value, feasibility, risk, and data readiness (Azure + M365 + Power Platform).
- Translate business architecture → AI solution architecture: capability/value-stream thinking → data, security, governance, and operating model implications.
- Own Microsoft AI reference patterns end-to-end: Copilot/M365 extensibility, Power Platform automation, Azure AI/RAG/agents, integration points.
- Anchor technical discovery for AI-lead Azure/MS opportunities: goals → constraints → architecture options.
- Shape and size POCs: scope, success criteria, build plan, and handover path to delivery.
- Orchestrate specialists: bring in T-Labs / Delivery depth for security, data, integration, platform specifics - without losing momentum.
- Maintain a reusable Microsoft AI EVA kit (patterns + narratives + decision trees + demos).
- Solid real-world Azure architecture experience (apps + data + identity basics).
- Can explain tradeoffs simply (build vs buy, platform choice, sequencing).
- Strong estimation instincts: effort bands, risks, and “unknowns”.
- Comfortable leading a customer technical room; calm, structured communicator.
- AI-native working style (uses copilots/LLMs to compress grunt work; validates outputs).
- Hands-on familiarity with M365/Copilot landscape and how organisations actually adopt it (governance, permissions, content boundaries, readiness).
- Strong working knowledge of Power Platform as an automation + workflow layer (what scales, what breaks, ALM/gov basics).
- Can design end-to-end AI solutions that connect: user surface (M365/PP) → orchestration → data → security → evaluation/monitoring.
- Strong enterprise storytelling: can translate Azure/AI complexity into an exec-ready storyline that lands with CIO/CTO/CFO audiences.
- Business architecture mindset thinks in capabilities, value streams, operating model impact, and governance - not just cloud components.
- Lead 3 customer pursuits to a clear solution direction (options + tradeoffs + risks + effort bands).
- Publish a reusable “Azure + AI transformation storyline” pack: why-now narratives, common patterns, reference diagrams, decision trees, and before/after visuals for exec conversations.
- Review and update 1 reusable reference pack: discovery checklist + reference architecture + estimation bands + risk catalogue + slide kit.
- Power Platform experience (Dataverse, Power Apps/Automate) with pragmatic scaling awareness.
- AI patterns: RAG, evals, observability, prompt + data governance.
- Familiarity with security/compliance conversations (enough to be credible, not a specialist).
- Narrative discipline: produces structured option sets with explicit tradeoffs, assumptions, and decision points (no meandering).
- Narrative creativity: can make the “why now” memorable — sharp analogies, crisp north star, compelling before/after framing.
- Not a long-term delivery tech lead on projects.
- “Slide person” without technical grounding. Not a proposal-only role.
- Owns 0→1 acceleration; delivery owns 1→n execution.