Job description

About Tarento:

Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare. Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions.

We're proud to be recognized as a Great Place to Work, a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you’ll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose.

Microsoft/Azure - AI Acceleration Lead

Mission

Make 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.

What You’ll Do

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).

Must-Have Capabilities

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.

Success in 90 Days

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.

Nice-to-Haves

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.

Non-Goals (Guardrails)

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.

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