Job Description: Job Description: Delivery Lead - AI Engineer

Experience:12+ years

Role Summary

Key Responsibilities
Lead end-to-end delivery of AI, data engineering, and cloud-based transformation engagements.
Drive client engagement by understanding business priorities, managing expectations, presenting solutions, and ensuring timely resolution of risks and issues.
Provide technical and delivery leadership across AI/ML, GenAI, data platforms, cloud, and enterprise architecture initiatives.
Own delivery planning, execution tracking, governance, quality, and stakeholder reporting for complex programs.
Collaborate with business stakeholders, architects, product owners, engineering teams, and leadership to define solution roadmaps and execution plans.
Guide teams in designing scalable, secure, and cost-effective AI and data solutions aligned with enterprise standards.
Mentor, manage, and develop engineering teams to ensure delivery excellence and continuous capability improvement.
Promote best practices across AI engineering, data engineering, DevOps,



automation, performance optimization, and compliance.

Required Skills:
12+ years of overall experience in AI engineering, data engineering, cloud technologies, data platforms, or enterprise technology delivery.
Solid experience leading AI engagements, client-facing delivery programs, and cross-functional engineering teams.
Hands-on understanding of AI/ML concepts, GenAI solutions, automation use cases, model integration, and AI-enabled engineering practices.
Solid knowledge of modern data platforms such as Databricks, Snowflake, Data Lakes, Data Warehouses, and Lakehouse architectures.
Experience with cloud platforms such as AWS, Azure, or GCP.
Solid understanding of Python, SQL, Spark, PySpark, ETL/ELT pipelines, orchestration, and large-scale data processing.
Experience in delivery governance, risk management, stakeholder reporting, estimation, planning, and quality assurance.
Exc

📌 Delivery Lead Pune (India)
🏢 EXL Service
📍 India