What You'll Do Client Engagement & Problem Solving Partner with clients and stakeholders to understand business processes, identify opportunities, and define AI-driven solutions Act as a trusted technical advisor, translating complex business needs into scalable data and AI architectures Lead client-facing workshops, presentations, demos, and proof-of-concept engagements Clearly communicate technical concepts, progress, and outcomes to both technical and non-technical audiences Solution Architecture & Technical Leadership Design end-to-end data, analytics, and AI/ML solutions across cloud and hybrid environments Define data architectures including data lakes, warehouses, and real-time processing systems Select and apply appropriate tools, frameworks, and best practices for each engagement Lead technical design and guide implementation across multiple projects Design and develop machine learning and generative AI solutions using modern frameworks (e.g., PyTorch, scikit-learn, LLM ecosystems) Work with big data and distributed systems (e.g., Spark, Kafka, Hadoop ecosystem) Design/ develop cloud-native solutions using Azure and/or AWS, including serverless and event-driven architectures Contribute to reusable assets, accelerators, and internal best practices Collaboration & Delivery Excellence Work in agile, cross-functional teams including data scientists, engineers, and developers Contribute to a collaborative, knowledge-sharing team environment Manage multiple pursuits and priorities in a fast-paced setting Ensure high-quality, production-ready deliverables and strong client satisfaction Technical Competences Must have: Extensive experience (10+ Yrs.) in designing end-to-end data, analytics and AI solutions from ingestion, ETL, storage retrieval, integration, processing, analysis, and presentation. Demonstrating leadership skills and the ability to interact and lead people in a matrixed organization - tact and diplomacy are essential attributes Leading and working with on-shore and off-shore teams to achieve project goals and milestones Understanding of commercial and financial aspects of creating customer solutions Ability to work under pressure and demonstrably action orientated Qualifications Bachelor's degree in Computer Science or a related field, or equivalent work experience.