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Lead end-to-end design, delivery, and lifecycle management of production AI/ML solutions for strategic clients. Translate business requirements into scalable, secure ML architectures, drive deployments, monitoring, governance, and mentor teams while collaborating with stakeholders across sales, engineering, and data science.

The Director of Advisory will lead AI adoption and change management by driving enterprise-wide implementation of AI solutions, overseeing delivery and customer success, and contributing to thought leadership in the field.

Lead and grow the India Product Engineering and Platform Operations teams to build and maintain the phData Toolkit. Provide hands-on technical leadership, oversee multi-cloud (AWS, GCP, Azure) and Snowflake architecture, IaC, CI/CD, RBAC, security and SOC 2 compliance, collaborate with US leadership and IT on access and policies, and drive tooling, automation, and operational excellence.

Lead design and delivery of modern cloud data platforms and analytics solutions. Translate business needs into secure, scalable architectures, guide implementation teams, ensure delivery quality, support presales, mentor engineers, and contribute reusable patterns, documentation, and practice-level assets to improve delivery across global, distributed engagements.

Design, build, and productionize end-to-end cloud data solutions and pipelines. Translate business needs into technical architectures, ensure performance, security, scalability, and reliability in production. Deliver client engagements on time, produce technical documentation and runbooks, present solutions to stakeholders, mentor peers, and contribute reusable assets and best practices across the firm.

The Territory Director focuses on scaling phData's business by building relationships with partners, acquiring new customers, and managing account relationships. This includes driving lead generation and collaborating with team members to deliver data and AI engineering services to enterprises in their territory.

Lead design, delivery, and operational support of large-scale cloud-native data platforms (Snowflake, AWS, Azure). Architect solutions, mentor engineers, manage multiple customer accounts, optimize performance, automate operations, and present technical recommendations to executives.

Design and lead end-to-end applied AI architectures (predictive ML, MLOps, generative AI, LLMs, RAG, agentic workflows), translate business needs into production-ready solutions, prototype and deliver implementations, and ensure security, observability, governance, and operational reliability.

Lead architecture and hands-on delivery of production agentic AI solutions: design reusable accelerators, integrate LLMs and retrieval (RAG), ensure reliability, security, observability, and guardrails, collaborate with cross-functional teams, mentor engineers, and contribute IP, patterns, and production best practices across clients.

Lead design, delivery, and operationalization of large-scale cloud-native data platforms for enterprise clients. Translate business requirements into scalable, secure architectures, manage multiple accounts, drive automation and optimization, lead technical teams, mentor engineers, contribute to internal delivery frameworks, and present architecture recommendations to executive stakeholders.