Join our dynamic team focused on driving innovation within Deloitte's business lines and internal functions. We leverage transformational technologies like artificial intelligence, blockchain, robotics, and data analytics to enhance our business solutions and better serve our clients. This role is crucial in bringing cutting-edge solutions to life.

Our mission is to harness the power of innovation to create strategic advantages for companies in today's rapidly evolving business landscape. We believe that by embracing new-age technologies, we can simplify complex business challenges and unlock new possibilities for our clients.

As a Pre-Sales / Solution Consultant, you will be instrumental in leading client discussions, uncovering solution requirements, and showcasing our proprietary products, with a special emphasis on Agentic AI and GenAI-led solutions. You will collaborate closely with our Offerings, Account, and Engineering teams to ensure successful client engagements through compelling demonstrations and proof-of-concepts.

Key responsibilities include: leading client discovery sessions to align solutions with business needs, delivering end-to-end product demos and PoVs, supporting sales pursuits with RFP/RFI responses and technical insights, clearly articulating the value proposition of Agentic AI solutions, and working with product and engineering teams to integrate client feedback into demo configurations.

We are seeking experienced professionals with 5-12 years in Pre-Sales, Solution Consulting, Sales Engineering, or Product Go-to-Market roles. A BE/BTech/MCA/MBA or equivalent qualification is required. The ideal candidate will possess strong experience in enterprise product demonstrations and engaging with senior client stakeholders (CIO/CTO/CDAO level).

Essential skills include a solid understanding of GenAI/Agentic AI concepts such as LLMs, RAG, and automation, alongside the ability to translate complex technologies into clear, business-focused language. Excellent written and verbal communication skills are vital. Preferred qualifications include exposure to AI/GenAI platforms, low-code/no-code tools, automation, enterprise SaaS, and familiarity with AI governance, security, and enterprise adoption considerations.