Data AI Architect / Leader

We’re on the lookout for a Data & AI Leader who doesn’t just build models — but drives real business outcomes for one of our Reputed client

Key Responsibilities

• Lead end-to-end solution architecture for enterprise Data & AI engagements, from discovery and technical scoping through implementation and production readiness.
• Contribute directly to client projects as a senior architect and technical lead, including hands-on design, development, code review, troubleshooting, and delivery support.
• Review and improve architectures, data models, integration patterns, AI designs, security approaches, deployment strategies, and nonfunctional requirements.
• Provide technical direction across modern data platforms, cloud data engineering, analytics, machine learning, generative AI, RAG, and agentic solutions.
• Lead technical investigations for complex delivery, performance, data quality, reliability, and production issues.
• Directly lead and coach India Development Leads; provide indirect technical leadership to Project Leads and delivery teams.
• Participate actively in hiring, including role definition, technical interviews, case-study evaluation, evidence-based feedback, and hiring recommendations.
• Mentor architects, Development Leads, and engineers; identify skill gaps and recommend technical development, learning, certification, and stretch opportunities.
• Provide staffing and workforce recommendations to the VP, Data & AI while operational leadership and final resource-allocation decisions remain with the VP, Data & AI.

Required Qualifications

• 15+ years of progressive experience in Data & AI engineering, architecture, consulting, or technical delivery, including significant recent hands-on responsibility.
• 5+ years leading senior technical teams, architects, Development Leads, or multi-team engineering delivery.
• Demonstrated experience designing and delivering enterprise data platforms, warehouses/lakehouses, integration solutions, analytics platforms, and AI-enabled applications.
• Demonstrated current ability to develop and review production SQL and Python, understand implementation details, evaluate code quality, and troubleshoot complex systems.
• Deep solution-architecture experience across cloud, data, integration, security, governance, reliability, and deployment concerns.
• Hands-on experience with at least two modern cloud data ecosystems such as Azure, Databricks, Snowflake, Microsoft Fabric, AWS, or GCP.
• Practical experience with modern AI solutions, including generative AI, RAG, LLM orchestration, evaluation, responsible AI, and/or agentic patterns.
• Experience hiring, mentoring, and developing senior technical talent in a distributed or global delivery environment.

Success in the First Six Months

• Establish technical credibility with Development Leads, Project Leads, architects, engineers, US practice leadership, and client stakeholders.
• Create a practical architecture and technical-quality review rhythm for priority engagements.
• Contribute directly to client delivery and materially improve at least one complex or at-risk technical engagement.
• Participate in hiring and strengthen consistency and evidence quality of technical interviews.
• Create actionable mentoring and technical-development recommendations for Development Leads and priority team members.
• Contribute at least one reusable technical asset, reference pattern, accelerator, or practice playbook.