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 setting.

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.

📌 Data AI Architect / Leader (Hyderabad)
🏢 Conquest IT Services
📍 Hyderabad