About the job
The Lead Solution Architect serves as the strategic and technical authority throughout intricate client pursuits and engagements, guiding opportunities from initial discovery to successful delivery and stabilization.
This role intertwines strategy, technology, and quantifiable business value, ensuring that every solution embodies an offering-led and value-driven approach to growth.
You will spearhead the solution definition phase for complex client initiatives, developing technology strategies and architectures that harmonize innovation, feasibility, and business impact.
Emphasizing the transformative potential of AI, automation, and data-driven engineering, this position plays a crucial role in how solutions are conceived, implemented, and scaled.
Key Responsibilities
Opportunity Shaping & Early Qualification
- Collaborate with business development and market teams to evaluate new opportunities that resonate with strategic themes and industry focus areas.
- Identify avenues where AI, automation, and advanced analytics provide distinctive value through predictive insights, intelligent workflows, or tailored customer experiences.
- Lead client discovery discussions to articulate business challenges, formulate value hypotheses, and recognize transformation levers.
- Act as a strategic solution leader, defining the technology strategy, engagement vision, and team structure prior to formal proposal development.
- Ensure every opportunity clearly aligns with client business value, differentiation, and long-term partnership potential.
Engagement Mobilization & Strategy Definition
- Lead the solution architecture stream for high-stakes pursuits, collaborating with pursuit and delivery leaders to co-create the overall strategy and technical direction.
- Produce early solution vision artifacts, conceptual architectures, and thin-slice roadmaps that illustrate how AI, data, and engineering collectively enable transformation.
- Align solution design, delivery methods, and commercial models with the client’s strategic objectives and measurable success criteria.
- Collaborate with internal innovation teams to integrate AI-based accelerators and reusable components into solutions.

