GTM Lead - Forward Deployed AI Engineering Business

Position: GTM Lead - Forward Deployed AI Engineering (FDE) Location: Noida The Opportunity: We are looking for a commercially driven GTM leader to build and scale our Forward Deployed AI Engineering business across global markets. The role combines enterprise sales, solution discovery and customer engagement - helping financial institutions and technology companies identify high-value workflows and deploy AI-powered solutions into production. Key Responsibilities: - Build and execute the FDE go-to-market strategy across India and international markets. - Develop opportunities with financial institutions, AI companies, technology vendors and consulting/SI partners. - Lead enterprise discovery to identify workflows, business challenges and AI adoption opportunities. - Partner with engineering and product teams to shape solutions, proposals, pilots and paid discovery engagements. - Build relationships with senior business, technology and transformation leaders. - Own pipeline development, deal progression, commercial negotiations and revenue outcomes. - Develop strategic partnerships and represent the organization at industry forums. What We're Looking For: - Strong experience in enterprise technology sales, GTM, consulting or strategic business development. - Experience selling AI, data, automation, digital transformation or complex software solutions. - Strong enterprise relationships across BFSI, financial services or technology ecosystems. - Ability to translate business problems into technology-led solutions and commercial proposals. - Experience working with product and engineering teams to shape customer engagements. - Strong communication, negotiation and stakeholder-management skills, with an entrepreneurial mindset. What Makes This Role Different: - Build a global business at the intersection of AI, engineering and enterprise transformation. - Work directly with leadership and technical teams to shape solutions and customer outcomes. - Move beyond traditional staff augmentation toward outcome-oriented AI engineering engagements. - Help bring the organization's AI capabilities and platforms to enterprise workflows worldwide.