AI & Data Solutions Architect & Engagement Lead

Key Responsibilities

• Lead end-to-end solutioning and client pursuits, from opportunity discovery and RFP/RFI responses through solution design, executive presentations, and commercial closure.

• Own the solution architecture and technology vision for complex Data & AI transformation programs, ensuring solutions are scalable, secure, practical, and aligned with enterprise architecture.

• Design high-level architectures across data platforms, cloud modernization, analytics, AI/ML, GenAI, and Agentic AI, translating business requirements into actionable technology roadmaps.

• Define how data, AI models, applications, and enterprise platforms integrate to support business use cases and transformation objectives.

• Partner with engineering, data, AI/ML, cloud, and delivery teams to ensure proposed architectures are feasible, reusable, and production ready.

• Provide architectural direction on technology choices, integration patterns, platform capabilities, and modernization approaches without being limited to hands-on development.

• Lead client workshops and executive discussions to identify business opportunities and demonstrate how Data & AI capabilities can drive measurable value.

• Identify and drive new opportunities, account expansion, and transformation roadmaps within existing client relationships.

• Ensure successful transition from pursuit and solutioning into delivery, maintaining architectural integrity and client alignment.

• Mentor architects and solutioning teams and contribute to solution accelerators, thought leadership, industry POVs, and go-to-market initiatives.

   

Required Qualifications

• 12+ years of experience in Solution Architecture, Technology Consulting, Data & AI, or Digital Transformation, including 5+ years in senior client-facing consulting, architecture, or engagement leadership.

• Proven experience designing and leading enterprise-scale Data & AI solutions and complex transformation programs.

• Strong understanding of cloud data platforms, data modernization, analytics, AI/ML, GenAI, and Agentic AI.

• Experience leading large and complex solution pursuits ($5M+ TCV) and working closely with sales and commercial teams.

• Strong ability to translate business requirements into enterprise architecture, solution roadmaps, and compelling business cases.

• Demonstrated experience managing multiple stakeholders across business, architecture, engineering, and delivery teams.

• Bachelor's or master's degree in computer science, Engineering, Data Science, or related field.

Preferred

• Strong Insurance or Financial Services domain experience.

• Experience with legacy-to-cloud data modernization and enterprise transformation programs.

• Experience defining enterprise GenAI/Agentic AI strategies and use cases.

• Exposure to major cloud and data platforms such as AWS, Azure, Snowflake, Databricks, or Microsoft Fabric.