AI Deployment Strategist

About the role

We are seeking an experienced AI Deployment Strategist to lead technical discovery, scope AI solutions, and guide clients through successful implementation. The role bridges business needs and technical architecture, ensuring proposals are realistic, compliant, and aligned with client objectives.

Key responsibilities

• Conduct technical discovery sessions to map client data, systems, and AI readiness.
• Translate business pain points into structured, buildable use cases and define success criteria.
• Draft technical narratives for proposals, including architecture summaries, risk framing, and delivery approaches.
• Assess compliance requirements (data residency, security, regulatory) during scoping.
• Partner with Field CTO/Solution Architect to validate technical feasibility within budget and timeline.
• Manage day‑to‑day client relationships during the pursuit phase.
• Facilitate stakeholder workshops across business and technical functions.
• Maintain qualification and pursuit trackers for presales leadership.
• Lead change‑management framing and present technical scope as a business case to executives.

Required profile

• 15–20 years of technology/solutions consulting experience with deep AI/ML exposure.
• Strong ability to hold credible architecture conversations.
• Proficiency in structured discovery methodologies (design thinking, use‑case prioritization, jobs‑to‑be‑done).
• Working knowledge of AI‑related compliance and regulatory frameworks.
• Understanding of delivery methodology to scope realistic PoC‑to‑production paths.
• Excellent written communication for executive audiences.
• Skilled at running structured workshops under time pressure.
• Executive‑ready presentation and diplomatic negotiation skills.

Required skills

• Microsoft Azure AI Foundry
• AWS Bedrock
• Google Vertex AI