Gen AI Strategy Lead

Role Overview

The AI Strategy Leader will serve as a strategic advisor, technical expert, and innovation catalyst for enterprise AI initiatives. This role combines deep knowledge of AI/ML technologies with strong business acumen to guide organizations on adopting, scaling, and governing AI solutions responsibly. The strategist will lead discovery, solution design, and implementation oversight of AI-driven transformations.

Key Responsibilities

1. AI Strategy & Technology Leadership

* Define enterprise-level AI strategies aligned with business goals and industry trends.

* Identify AI/ML opportunities to optimize processes, reduce costs, and enable new digital capabilities.

* Guide decision makers on technology selection, architecture patterns, and AI platform roadmaps.

* Establish AI governance frameworks covering ethics, compliance, model lifecycle, and risk mitigation.

2. Solution Design & Architecture

* Architect end-to-end AI solutions using modern tools (LLMs, Agentic AI, LLMOps, cloud-native AI, etc).

* Lead technical assessments, feasibility studies, and PoCs for emerging AI technologies.

* Ensure architectural scalability, performance, and security across AI systems.

3. AI Implementation Leadership

* Oversee AI model development, training, evaluation, deployment, and monitoring.

* Provide hands-on guidance on prompt engineering, RAG design, model fine-tuning, and responsible AI practices.

* Coordinate cross-functional teams including developers, data scientists, and business SMEs.

* Ensure alignment between project outcomes and business value expectations.

4. Stakeholder Engagement & Consulting

* Act as a trusted advisor to senior leadership, explaining complex AI concepts in business-friendly language.

* Conduct workshops, training sessions, and awareness programs to build AI literacy across the organization.

* Translate business requirements into technical specifications and actionable implementation plans.

* Develop proposals, business cases, and ROI models for AI investments.

5. Innovation & Thought Leadership

* Monitor global AI trends, tools, and industry use cases to bring innovative solutions to clients.

* Publish internal/external whitepapers, frameworks, and accelerators supporting AI adoption.

* Mentor junior consultants, engineering teams, and client stakeholders.

Required Skills & Experience

Technical Expertise

* Strong understanding of GenAI, large language models (LLMs), Agentic AI, cloud AI services, and MLOps practices.

* Experience wit h cloud AI and Data services.

* Solid grounding in NLP, Computer Vision, predictive modeling, and data engineering fundamentals.

* Familiarity with vector databases, RAG pipelines, embeddings, and model evaluation techniques.

Consulting & Leadership Skills

* Proven experience delivering AI programs in consulting or enterprise environments.

* Strong stakeholder management and communication skills across technical and business teams.

* Ability to lead cross-functional initiatives and drive decision-making in complex environments.

* Strategic mindset with the ability to translate business challenges into AI solutions.

Preferred Attributes

* Innovative thinker passionate about emerging AI technologies.

* Strong logical reasoning, problem-solving, and analytical skills.

* Ability to operate in fast-paced, ambiguous environments.

* Demonstrated thought leadership-speaking, writing, or mentoring around AI topics.

Salary Range: $150,000 to $165,000 per year