EXL

Delivery Lead - AI Engineer

EXL  •  Pune, IN (Onsite)  •  1 hour ago
Apply
Save Job
Mark Applied Mark Interviewed Mark Offered
Hide Job Report Job
AI can make mistakes so check important info. Chat history is never stored.

Job Description

Delivery Lead – AI Engineer

Experience: 12+ years

We are looking for an experienced Delivery Lead – AI Engineer with strong expertise in AI-led solution delivery, data engineering, cloud platforms, and enterprise-scale technology programs. The ideal candidate should have proven experience in Banking, Capital Markets, or Financial Services and the ability to lead AI engagements, manage client stakeholders, drive delivery governance, and ensure successful execution of complex technology initiatives.

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.
  • Strong 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.
  • Strong 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.
  • Strong 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.
  • Excellent communication, leadership, problem-solving, stakeholder management, and client engagement skills.

Domain Experience

Must have strong experience in Banking, Capital Markets, or Financial Services, with exposure to regulatory, risk, compliance, data governance, and enterprise technology environments.

Preferred Skills

  • Experience delivering AI, GenAI, or intelligent automation solutions in enterprise environments.
  • Exposure to data governance, metadata management, data cataloging, security controls, and compliance frameworks.
  • Experience supporting solution reviews, technical assessments, hiring, and capability-building initiatives.
  • Ability to translate business problems into practical AI and data-driven solutions.

Key Attributes

  • Strong delivery ownership with a client-first mindset.
  • Ability to lead complex AI and data programs with clarity, accountability, and execution discipline.
  • Excellent stakeholder management and executive communication skills.
  • Strategic thinker with a hands-on technical approach.
  • Ability to build high-performing teams and drive continuous improvement.

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.

12+ years of overall experience in AI engineering, data engineering, cloud technologies, data platforms, or enterprise technology delivery.


EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com
EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.
EXL

About EXL

Choosing a digital partner is about more than capabilities — it’s about collaboration and character.

Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments.

At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.

Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale.

Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.

We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.

At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward.

For more information, visit www.exlservice.com.

Industry
Consulting & Advisory
Company Size
10,000+ employees
Headquarters
New York, NY
Year Founded
Unknown
Website
exlservice.com
Social Media