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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.
Job Responsibility:
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
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
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
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
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
Requirements:
Strong understanding of GenAI, large language models (LLMs), Agentic AI, cloud AI services, and MLOps practices
Experience with 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
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
Nice to have:
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