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The Engagement Manager will oversee client relationships, project delivery, and team management for data and cloud engagements, ensuring successful project execution and team development.

The role involves leading data migration and modernization strategies, designing scalable AWS solutions, and managing large-scale data projects. Responsibilities include technical leadership, architecture design, project implementation, and mentoring engineers.

The Architect - Machine Learning role involves designing cloud ML solutions on AWS, implementing Generative AI models, and collaborating with cross-functional teams to enhance LLM performance for user-friendly applications.

Lead the design and development of backend systems, APIs, and microservices for next-gen applications, ensuring scalability and performance.

The AI Engineer will build AI-driven workflows, integrating customer requirements into scalable solutions while managing both front-end and back-end elements in a cloud environment.

The Associate Architect will lead the development and deployment of machine learning solutions on Azure, manage the ML lifecycle, and optimize existing models while providing technical leadership to project teams.

The Architect - Platform Engineer guides technology evaluations, designs architecture, leads teams, manages client expectations, and implements DevSecOps pipelines across cloud environments, focusing on best practices and compliance.

As a Technical Program Manager, you will lead AI/ML initiatives, ensure project delivery, manage stakeholders, and align technical strategies with business objectives.

The Machine Learning Engineer will design, develop, and deploy ML models using Google Cloud tools, focusing on Document AI and Vertex AI, ensuring scalable applications and efficient performance.

The Sales Leader will drive AI and data services for AWS clients in the CPG sector, maintaining executive relationships and leading sales initiatives.