Delivery Lead – AI Engineer

EXL

Seeking an experienced Delivery Lead – AI Engineer to drive AI-led solutions and technology programs in the data analytics domain for financial services. Collaboration with clients and engineering teams is key to success.

Posted 7/13/2026full-timePune • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in AI Engineering, Data Engineering, and Cloud Technologies, with a strong focus on delivering scalable and secure solutions. Proven ability to lead cross-functional teams, manage client engagements, and ensure delivery excellence through effective governance and stakeholder collaboration.

Highest-signal resume keywords

AI EngineeringData EngineeringCloud TechnologiesStakeholder ManagementClient Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML ConceptsGenAI SolutionsPythonSQLSparkPySparkETL/ELT PipelinesData LakesData WarehousesDelivery Governance

Soft Skills

LeadershipProblem-SolvingCommunicationStakeholder Management

Tools & Technologies

AWSAzureGCPDatabricksLakehouse Architectures

Industry Keywords

Data PlatformsEnterprise ArchitectureAutomationPerformance OptimizationCompliance

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformPySparkPythonSparkSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.