AI/ML Strategist

Job Overview

The AI Strategist operates at the intersection of business strategy, emerging technology, and delivery execution. They are responsible for translating enterprise goals into actionable AI initiatives, framing problems, prioritizing opportunities, and ensuring alignment with strategic objectives and regulatory environments.

Responsibilities

• Lead intake and ideation sessions to identify AI opportunities across departments, using structured frameworks and AI-powered assistants.
• Frame problems and define use cases aligned with strategic goals, regulatory drivers, and operational pain points.
• Conceive and define AI-Driven (AWS Bedrock etc.) business solutions, experiences, and use cases.
• Scope and plan prototypes and pilots using accelerated modeling and innovation frameworks, ensuring feasibility, desirability, and viability.
• Collaborate with AI Engineers, Product Owners, Cloud Architects, and SMEs to ensure technical feasibility and business alignment.
• Facilitate design thinking workshops to guide teams through empathize, define, ideate, prototype, and test phases.
• Support stakeholder demos to validate and refine solution concepts.
• Prioritize initiatives using ICE scoring (Impact, Confidence, Ease) and business value mapping.
• Develop use case portfolios, product backlogs, and roadmaps for AI-driven solutions.
• Define success metrics and KPIs, for example velocity gain, cost reduction, and adoption rates.
• Ensure alignment to responsible AI and governance standards.
• Maintain alignment with compliance, regulatory, and audit requirements throughout the AI lifecycle.

Qualifications

• Industry Domain Expertise: Candidates must bring deep domain knowledge in at least one of the following industries or functions as a foundation for this role: Healthcare, Financial Services, Manufacturing and Automotive, Communications / Media / Technology, Sales and Marketing, Finance and Accounting, Supply Chain.
• Tools & Platforms: Cloud Platforms (AWS Bedrock), AI Frameworks (LangChain, LangGraph, N8N, Haystack, AgentSpace), Collaboration & Design (Miro, Confluence, SharePoint, Adobe Firefly), Data & Storage (Postgres, Supabase, Pinecone, FAISS), Prompt Engineering & Governance (Portkey, Model-Context Protocol (MCP)).
• Preferred Qualifications: B.S. or M.S. in Computer Science, Data Science, Business, or related field; 8+ years in digital transformation roles; Proven experience delivering AI initiatives in regulated industries; Strong understanding of AI/ML technologies, agentic workflows, and experimentation methodologies; Excellent communication and stakeholder engagement skills; Experience with facilitation, requirements elicitation, design thinking, agile delivery, and outcome measurement; Experience with business process modeling, user journey mapping, and value stream analysis.