Solution Architect Lead (Strategic, AI-Enabled & Value-Led Pursuits)

Opportunity Shaping & Early Qualification

• Collaborate with business development and market teams to assess new opportunities that align with strategic themes and industry focus areas.
• Identify opportunities where AI, automation, and advanced analytics create differentiated value through predictive insights, intelligent workflows, or personalized customer experiences.
• Lead or support early client discovery conversations to frame business challenges, define value hypotheses, and identify transformation levers.
• Act as a strategic solution leader, shaping the technology approach, engagement vision, and team model before formal proposal development.
• Ensure that every opportunity has a clear line of sight to client business value, differentiation, and long-term partnership potential.

Engagement Mobilization & Strategy Definition

• Lead the solution architecture stream for high-value pursuits, partnering with pursuit and delivery leaders to co-develop the overall strategy and technical direction.
• Develop early solution vision artifacts, conceptual architectures, and thin-slice roadmaps that demonstrate how AI, data, and engineering jointly enable transformation.
• Align solution design, delivery approach, and commercial model to the client’s strategic goals and measurable success criteria.
• Work with internal innovation teams to integrate AI-based accelerators, reusable models, and automation frameworks into proposals.
• Contribute to win-theme articulation, ensuring the solution narrative reinforces business value, risk mitigation, and delivery confidence.

Solution Architecture & Value Realization

• Translate client strategy into actionable architectural blueprints that integrate modern engineering, cloud, data, and AI capabilities—from generative models to decision automation.
• Quantify architectural decisions in terms of business outcomes such as speed, scalability, cost efficiency, sustainability, and customer experience.
• Partner with cross-disciplinary teams (engineering, delivery, product, data, and design) to validate solution feasibility through proofs of concept or prototypes, often leveraging AI-assisted development and testing tools.
• Champion human-in-the-loop design principles, ensuring automation complements human decision-making responsibly.
• Incorporate accelerators, design patterns, and reusable assets to drive consistency, speed, and innovation at scale.
• Define reference architectures spanning application, platform, data, and AI capabilities.
• Have a strong understanding of data management, governance, platforms, business insights, and advanced analytics applications.
• Articulate a clear point of view on agentic AI and the architectural capabilities required to support it.

Proposal Development & Executive Alignment

• Lead the technical and AI-driven architecture narrative within proposals and executive presentations.
• Translate complex technical concepts into clear executive narratives supported by visual architecture models, delivery timelines, and quantified value projections.
• Collaborate with finance and delivery leads to ensure solution assumptions, especially around AI adoption or automation ROI, align with commercial models and execution feasibility.
• Present and defend solution approaches in executive and technical forums, balancing visionary thinking with implementation pragmatism.

Delivery Enablement & Transition

• Ensure architecture intent translates seamlessly into delivery through handover artifacts, onboarding, and engineering playbooks.
• Participate in early delivery phases to establish architectural patterns, guardrails, and governance.
• Implement mechanisms to monitor AI model performance, drift, and ethical compliance across the lifecycle.
• Conduct retrospectives to capture learnings and continuously improve AI and architecture frameworks across engagements.