Senior Solution Architect

Location: Vasanthanagar

Role Overview
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.

Pre‑Sales & Proposal Ownership
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 .
Pre-Sales Management:
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:
GenAI, AI agents, Copilot‑based models
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 .

Governance, Risk & Commercial Excellence
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 .
Proven experience leading  complex, multi‑million‑dollar, multi‑tower deals .
Solutioning & AI Expertise
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.