AI Strategist - Partner

AI Strategist

Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.

Job Description:

Role - AI Strategist

We are seeking a dynamic and client-facing AI Strategist to join our team of expert advisors. In this role, you will work directly with our global Fortune 500 clients to help them define and execute their enterprise AI strategies. You will serve as a trusted technical advisor, guiding clients in the architecture, design, and governance of cutting-edge generative and agentic AI solutions.

This is a hands-on, client-facing architecture and strategy role. You will collaborate with client stakeholders—from technical teams to business leaders—to translate their strategic objectives into tangible AI-driven outcomes. The ideal candidate is a skilled technologist with a passion for AI, strong architectural skills, and a proven ability to advise and guide customers on their technology journey.

• Client AI Strategy & Architecture
• Client Governance & Risk Advisory
• Client Enablement & Solution Advisory

Client AI Strategy & Architecture:
You will work directly with clients to help shape their enterprise AI strategy, focusing on Generative AI, Agentic AI, and Machine Learning. Your duties will involve guiding client teams in designing robust AI operating models, reference architectures, and technology roadmaps. A key function will be to lead workshops and prototyping sessions to help clients evaluate and select the right AI technologies and architectural patterns for their needs.

Client Governance & Risk Advisory:
You will be responsible for advising clients on how to implement comprehensive AI governance frameworks that align with regulations like the EU AI Act and NIST AI RMF. This includes helping them establish responsible AI standards for model risk management, bias mitigation, and data privacy. You will guide clients in assessing AI risk and building the capabilities to report on compliance and model performance.

Client Enablement & Solution Advisory:
In this capacity, you will serve as a key technical advisor to client project teams and business leaders, helping them apply AI effectively and confidently. You will lead client-facing engagements, including architectural design sessions and technology assessments. A critical part of your role will be to create and deliver technical documentation, architectural blueprints, and training materials to enable client success.

Candidates must have 10+ years of experience in enterprise technology, with at least 3+ years in a client-facing role such as a senior solutions architect, technology consultant, or senior AI/ML engineer. You must have hands-on experience building or implementing solutions using Generative AI, including RAG architectures and LLM orchestration. Strong architectural skills across the technology stack (backend, databases, cloud, and integration) are essential, along with at least one professional cloud architecture certification (AWS or Azure).

You must also have experience guiding customers or internal teams on AI best practices, governance, or technology standards.

Agentic AI Strategy:
Microsoft Auto Gen, Google ADK, OpenAI Agents SDK, Lang Graph, CrewAI, Semantic Kernel; agent orchestration patterns, multi-agent architectures, Model Context Protocol (MCP), agent registries, enterprise guardrails

GenAI & RAG:
Lang Chain, Llama Index, Hugging Face Transformers, OpenAI API, Claude API, Gemini API; prompt engineering, function calling, structured outputs, RAG architecture patterns, evaluation frameworks (Ragas, Lang Smith)

AI Governance & Risk:
Responsible AI frameworks…