Senior Consultant - Data & AI

Lead technical delivery of complex, cloud native and AI enabled engagements, contributing as a hands-on individual contributor and, where required, leading engineering teams to ensure high-quality, predictable outcomes. Identifies dependencies and risks that go beyond the immediate scope and timeframe for a complex project. Develops contingency plans, risk-mitigation implementation criteria, and alternative strategies to manage short- and long-term risks and manages technical escalations. Drives AI-First data engineering principles and mindset in the team to make the best of AI tools and services while helping in orchestration, transformation, and operationalization of AI/ML-powered data solutions. Continuously upskill self to become strong Full stack data engineer, inspire their team as much, to be able to build future-ready skills, collaborate with other specialist teams, product teams, and customers to co-create innovative solutions and help the customers tackle some of their biggest challenges. Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities. Implement rapid prototyping and able to lead from brainstorming and whiteboarding ideas to production-ready solutions driven by AI-first mindset. Upskill consistently to get better in this and deliver innovation for customers using Azure stacks. Apply hands-on expertise in Python, deep learning/Gen AI frameworks (PyTorch, TensorFlow), orchestration frameworks like LangChain/LangGraph, prompt engineering, RAG frameworks, AI Search, and agentic workflows on Azure AI stack 10+ years of experience Bachelor's degree in computer science engineering or equivalent work experience. Higher relevant education is preferred. Customer facing Project delivery leadership experience involving solution design, project envisioning, planning, development and deployment of complex solutions with minimum of 5 plus years. Data Architecture & Platform Engineering Knowledge of Azure Databricks is a plus Architect modern platforms using Azure Data Services, serverless and microservices architectures, including largescale data migrations, platform modernization, and multitenant, security hardened designs Apply deep expertise across OLTP/OLAP, columnar, opensource, and NoSQL databases (e.g., Cosmos DB, Redis, Cassandra, MongoDB) with strong governance and access control models Apply design thinking and user centric approaches to deliver high impact data and AI solutions Track and influence emerging technologies, delivery models, and platform strategy Build and share intellectual property (IP), reusable assets, and best practices to improve delivery predictability, quality, and efficiency Lead and mentor engineering teams, fostering collaboration, technical excellence, and accountability Provide guidance through design and code reviews, coaching, and feedback Support professional development and build a strong, inclusive engineering culture Strong communication and presentation skills with the ability to engage both technical and non-technical stakeholders. Passion for mentoring, knowledge sharing, and continuous learning. Proven adaptability to new technologies and evolving customer requirements. Experience working in Agile/Scrum environments. Awareness of AI technologies and their integration into cloud solutions. Customer Co-Innovation Mindset & Customer Enablement Lead rapid prototyping, pilots, and early-stage production deployments for enterprise customers, accelerating time-to-value Translate from whiteboard to production with minimal friction, engineering alongside customer teams to unblock delivery and adoption Own troubleshooting across performance, reliability, cost, security, and data quality, delivering outcome-driven engineering in ambiguous, high-pressure environments