Solutions Architect

Role Overview We are looking for a strategic and hands-on

Solution Architect

to design and drive enterprise AI transformation initiatives. This role will partner closely with cross-functional teams to convert business challenges into actionable AI programs that deliver measurable value. Ideal candidates will have strong experience in digital transformation, SaaS ecosystems, and enterprise AI adoption, along with the ability to engage executive stakeholders and translate business needs into scalable solutions.

Key Responsibilities AI Data Strategy & Use Case Design Lead the discovery and definition of impactful AI Data ingestion use cases across key client segments Design solutions covering data quality management, metadata management, Data lifecycle management, Data compliance security and access control. Create detailed business cases and success metrics for data integration initiatives Client Engagement & Value Realization Serve as a strategic advisor to clients, articulating the business value of Data Drive customer success by aligning AI solutions to measurable business outcomes Facilitate workshops and executive discussions to guide digital transformation Solution Blueprinting & Delivery Oversight Collaborate with product, engineering, and data science teams to co-create solutions Ensure smooth transition from vision to execution, guiding delivery excellence Monitor KPIs, adoption metrics, and iterate on solutions for continuous improvement Cross-Functional Collaboration & Innovation Act as a bridge between business and technical teams to foster innovation Stay current with data integration trends Contribute to product evolution and GTM strategies based on market needs

Required Experience 15–20

years of overall experience, with significant exposure to SaaS, enterprise platforms like MuleSoft / IBM Sterling Integrator / Talend / Informatica / Mapforce Exposure in designing / implementing solutions covering data quality management, metadata management, Data lifecycle management, Data compliance security and access control. Demonstrated success in leading enterprise-scale digital or AI transformation initiatives Experience in client-facing roles. Strong knowledge enterprise architecture, and digital product development Proven ability to lead cross-functional teams in fast-paced environments

Preferred Skills Exposure to MuleSoft / IBM Sterling Integrator / Talend / Informatica / Mapforce / Apache NiFi Deep understanding of customer journey mapping, platform design, and enterprise solutioning Certifications in Agile, Scrum, Product Management, or AI / ML preferred Experience working with global clients across

BFSI, manufacturing, retail , or

domains