Pre Sales and Solutions role

LTM; Bengaluru; On-site; INR 3,500,000 - 8,000,000; Full time

Job summary

LTM in Bengaluru seeks an accomplished Solution Lead to spearhead AI-enabled pre-sales and multi-tower solutions for large IT deals. You will shape AI-first architectures, align with business outcomes, and drive the complete proposal lifecycle with cross-functional teams.

The role requires 17+ years in IT services, deep solutioning expertise, and a strong AI strategy mindset to craft differentiated, value-led offerings across AI, data, cloud, automation, and managed services at scale.

Qualifications

• 17+ years in IT services with a focus on pre-sales, solutioning, and large deal leadership.
• Strong understanding of Applications Development & Modernization, Cloud & Infrastructure, AI/GenAI, Data & Analytics, Testing, Automation & Managed Services.
• Experience embedding AI into enterprise solutions, including modernization, efficiency, and business transformation use-cases.

Responsibilities

• Own end-to-end solutioning for large, strategic, multi-tower deals across geographies and industries.
• Lead the definition of AI-first, platform-led, and outcome-driven solution architectures spanning Applications, Modernization, Managed Services, AI-Ops, Infrastructure & Cloud, Data, Analytics & AI/GenAI.
• Shape solution strategies that articulate business outcomes, ROI, and value realization enabled by AI.
• Drive solution strategy, pricing, and value proposition to ensure competitive positioning.
• Own the complete proposal lifecycle, including solution architecture, AI components, commercials, pricing strategy, and risk assumptions.
• Embed AI use-cases, GenAI copilots, intelligent automation, and data-led insights into proposals to improve win probability and differentiation.
• Drive AI-led modernization journeys to move clients toward future-ready, AI-augmented enterprises.
• Lead and mentor pre-sales teams to deliver high-quality proposals, RFP responses, and client presentations.
• Ensure solutions align with client requirements, business objectives, and LTM capabilities.

Skills

Pre-sales

Solutioning

Large deals

AI strategy

Cloud & Infra

Data & Analytics

Stakeholder mgmt

Proposal leadership

Education

Bachelor’s in Engineering/Technology

MBA

Job description

We are seeking an accomplished Solution lead to lead AI-enabled Pre-Sales and Solutions for large, complex, multi-tower IT deals. This role is critical in shaping modernized, AI-driven solutions that help enterprise clients transform their business, technology, and operating models.

The ideal candidate will combine deep solutioning expertise, large deal leadership, and a strong AI strategy mindset, working closely with Sales, Delivery, and Practice teams to craft differentiated, value-­led proposals that leverage AI, Data, Cloud, Automation, and Managed Services at scale.

Key Responsibilities

Large Deal & Integrated Solution Leadership

• Own end-to-end solutioning for large, strategic, multi-tower deals across geographies and industries.
• Lead the definition of AI-first, platform-led, and outcome-driven solution architectures spanning across Applications & Modernization, Managed Services & AI-Ops, Infrastructure & Cloud, Data, Analytics & AI / GenAI.
• Shape solution strategies that clearly articulate business outcomes, ROI, and value realization enabled by AI.
• Drive solution strategy, pricing, and value proposition to ensure competitive positioning.
• Own the complete proposal lifecycle, including solution architecture, AI & digital components, commercials, pricing strategy, and risk assumptions.
• Embed AI use-cases, GenAI copilots, intelligent automation, and data-led insights into proposals to improve win probability and deal differentiation.
• Drive AI-led modernization journeys, helping clients move from legacy operating models to future-ready, AI-augmented enterprises.
• Lead and mentor pre-sales teams to deliver high-quality proposals, RFP responses, and client presentations.
• Ensure alignment of solutions with client requirements, business objectives, and LTM capabilities.

Stakeholder & CXO Engagement

• Partner closely with Sales, Account Teams, Practices, Delivery, and Alliances to create cohesive and compelling solutions.
• Engage with CXO-level client stakeholders to:
• Articulate AI strategy and transformation roadmap
• Position LTM as a trusted advisor for AI-led transformation
• Translate complex technology constructs into clear business value narratives

AI Strategy, Innovation & Thought Leadership

• Bring industry, AI, and technology trends into solution design, including:
• Autonomous operations, AI-Ops, and managed services transformation
• Drive creation of reusable AI solution frameworks, accelerators, reference architectures, and playbooks to improve speed, quality, and win-rate.
• Influence GTM strategy by shaping AI-led offerings and large-deal solution patterns.
• Ensure solutions align with enterprise architecture standards, security, compliance, and responsible AI principles.
• Lead solution governance around scalability, operability, commercial viability, and risk mitigation.
• Balance innovation with pragmatism, ensuring feasible AI adoption at enterprise scale.

Required Skills & Experience

Experience

• 17+ years in IT services with strong focus on pre-sales, solutioning, and large deal leadership.
• Strong understanding of:
• Application Development & Modernization
• Cloud & Infrastructure services
• AI / GenAI, Data & Analytics platforms
• Testing, Automation & Managed Services
• Experience embedding AI into enterprise solutions, including modernization, efficiency, and business transformation use-cases.

Industry Exposure

• Experience in one or more verticals such as Life Sciences, BFSI, Retail, Manufacturing or Travel, Transport & Hospitality (TTH) is a strong advantage.

Leadership & Communication

• Ability to inspire and lead senior pre-sales teams and architect communities.
• Exceptional storytelling, presentation, and negotiation skills with senior business and technology stakeholders.

Education & Certifications

• Bachelor’s degree in Engineering/Technology required.
• MBA preferred; AI / Cloud / Architecture certifications are an added advantage.