We are seeking a AI Deployment Strategist with approximately 15-20 years of experience in the field.
Responsibilities:
Run technical discovery sessions to map the client's current data, systems, and AI readiness
Own requirements-to-scope translation — converting business pain into structured, buildable use cases
Define success criteria and evaluation methodology for the proposed solution before build starts
Draft the technical narrative of the proposal/SOW — architecture summary, risk framing, delivery approach
Assess technical compliance requirements (data residency, security, regulatory) during scoping
Partner with the Field CTO/Solution Architect to validate that scope is technically buildable within budget and timeline
Manage the day-to-day client relationship during the pursuit so technical staff stay focused on the build
Facilitate stakeholder workshops across client business and technical functions
Maintain the qualification and pursuit tracker for the Head of Presales & Solutioning
Own change-management framing for the proposed solution — how the client's org will need to adapt
Lead or co-lead client oral presentations, translating technical scope into a business case executives approve
Requirements:
15–20 yrs in technology/solutions consulting with genuine, deep exposure to AI/ML or data projects
Enough technical grounding to hold a credible architecture conversation — not just relay requirements
Skilled in structured discovery methodologies (design thinking, use-case prioritization, jobs-to-be-done)
Working understanding of technical compliance/regulatory frameworks relevant to AI (data residency, EU AI Act, sector rules)
Familiar with major cloud AI platforms — Microsoft Azure AI Foundry, AWS Bedrock, and Google Vertex AI — for scoping conversations; open-source awareness a positive-to-have
Understands delivery methodology well enough to scope a realistic PoC-to-production path
Demonstrated ability to write clearly for executive audiences
📌 AI Deployment Strategist (India)
🏢 Systems
📍 India