GenAI Consultant

Job description

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: Strong analytical and problem-solving abilities with experience structuring ambiguous business problems.