Responsibilities:

- Partner with clients to understand business objectives, operational challenges, and opportunities for AI adoption.
- Conduct discovery workshops and stakeholder discussions to identify and prioritize Generative AI use cases.
- Translate business requirements into practical, scalable AI solutions and implementation approaches.
- Provide strategic recommendations to improve productivity, customer experience, and operational efficiency through Generative AI.
- Support sales pursuits by developing compelling AI solution narratives and value propositions.
- Contribute to proposals, RFP/RFI responses, client presentations, and solution demonstrations.
- Build business cases, ROI models, and value realization frameworks for Generative AI initiatives.
- Collaborate with account and delivery teams to identify opportunities and support consulting-led engagements.
- Design Generative AI solutions across content creation, enterprise knowledge management, automation, customer and employee experiences, and GenAI Video Services.
- Evaluate emerging AI platforms and recommend fit-for-purpose solutions based on client requirements.
- Develop proofs of concept (POCs), prototypes, demonstrations, and point-of-view (POV) assets.
- Guide clients on AI governance, responsible AI practices, adoption considerations, and implementation strategies.
- Build strong relationships with business and technology stakeholders.
- Present recommendations confidently to senior leadership and executive audiences.
- Coordinate effectively across consulting, product, engineering, and delivery teams.
- Drive alignment, solution adoption,



and value realization across client engagements.

Desired Profile:

- Experience: 4–5 years of experience in Management Consulting, Technology Consulting, Digital Consulting, AI Consulting, Innovation, or Solution Consulting.
- Education: MBA or equivalent consulting/business strategy background is an advantage.
- Client Consulting: Strong client-facing consulting experience with proven stakeholder management capabilities.
- Pre-Sales & Business Development: Experience supporting pre-sales, business development, solutioning, or consulting-led sales pursuits.
- Technical Skills: Good understanding of Generative AI, Large Language Models (LLMs), AI Agents, Prompt Engineering, Retrieval-Augmented Generation (RAG), and enterprise AI applications.
- Tools & Technologies: OpenAI, Azure OpenAI, Claude, Gemini, Microsoft Copilot, HeyGen, Synthesia, or similar Generative AI platforms.
- AI Governance: Understanding of AI governance, compliance, privacy, security, and responsible AI practices.
- Domain Expertise: Experience in Life Sciences, Healthcare, Pharmaceuticals, BFSI, or enterprise consulting environments is preferred.
- Functional Skills: Client Consulting, Consultative Selling, Business Acumen, GenAI & Digital Consulting, Solution Design & Innovation, and Structured Problem Solving.
- Soft Skills: Excellent communication, presentation, storytelling, facilitation, stakeholder influence, negotiation, executive presence, ownership, and accountability.
- Analytical Skills: Robust analytical and problem-solving abilities with experience structuring ambiguous business problems.

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📌 GenAI Consultant (Bengaluru)
🏢 Indegene
📍 Bengaluru