Join our dynamic team focused on driving innovation through cutting-edge products and platforms. We are at the forefront of leveraging transformational technologies like AI, blockchain, and robotics to simplify business complexities and enhance client services. Our India Innovation program is dedicated to bringing these advancements to our business lines and internal functions.

This role is central to our mission, connecting innovative solutions with client needs. You will be instrumental in showcasing our proprietary offerings, particularly those centered around Agentic AI and GenAI, positioning Deloitte as a leader in technological advancement.

As a Pre-Sales / Solution Consultant, you will expertly guide client discovery sessions, translating complex business requirements into compelling solution proposals. You will be responsible for delivering comprehensive product demonstrations, Proofs of Concept (PoCs), and Proofs of Value (PoVs) for our proprietary platforms. Your role includes supporting sales pursuits by contributing to RFP/RFI responses and providing essential technical insights.

Articulate the capabilities and business value of Agentic AI solutions, detailing workflows, orchestration, and tool utilization. Collaborate seamlessly with product and engineering teams to customize demos and integrate client feedback, ensuring our solutions meet and exceed expectations.

We are seeking experienced professionals with 5-12 years in Pre-Sales, Solution Consulting, Sales Engineering, or Product Go-to-Market roles. A Bachelor's or Master's degree in Engineering, Computer Applications, or Business Administration (BE/BTech/MCA/MBA or equivalent) is required. Candidates must possess strong experience in enterprise product demonstrations and engaging with senior client stakeholders (CIO/CTO/CDAO level).

Essential skills include a working knowledge of GenAI/Agentic AI concepts such as LLMs, RAG, and automation, coupled with the ability to communicate complex technology in clear business terms. Excellent written and verbal communication skills are paramount. Preferred qualifications include exposure to AI/GenAI platforms, low-code/no-code tools, automation, enterprise SaaS, and familiarity with AI governance and security considerations.