Hiring: AI & Data Solutions Architect & Engagement Lead Company: EXL Location: Jersey City, NJ Job Posted Time: 2026-09-03 07:39:58 Target Skills & Keywords : AWS, Azure, Databricks, Snowflake About the job Experience: •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. Required Skills: •We are seeking a AI & Data Solution Architect & Engagement Lead to shape and lead enterprise Data, AI, and digital transformation initiatives. This is a senior client-facing role combining solution architecture, consulting, pursuit leadership, and account growth, with a strong focus on Insurance and Financial Services. •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. Qualifications: •Proven experience designing and leading enterprise-scale Data & AI solutions and complex transformation programs. •In-depth knowledge of cloud data platforms, data modernization, analytics, AI/ML, GenAI, and Agentic AI. •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. •Strong Insurance or Financial Services domain experience. •Exposure to major cloud and data platforms such as AWS, Azure, Snowflake, Databricks, or Microsoft Fabric. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!