Delivery Lead – AI/ML & Enterprise Software

Work Force Nexus; Thane; On-site; INR 3,500,000 - 4,500,000; Full time

Job summary

A leading fintech company in Maharashtra seeks a Delivery Lead for AI/ML and enterprise software. This senior leadership role demands 12–18 years of experience in software delivery, with strong technical expertise in AI-driven technologies. The Delivery Lead will oversee end-to-end delivery, ensuring quality and scalability across multiple technologies. Ideal candidates should possess a blend of technical depth and client engagement skills in a fast-paced environment. Competitive compensation package available.

Qualifications

• 12–18 years of experience in software delivery and technology programs.
• Proven record in leading large-scale product deliveries.
• Strong technical foundation and leadership experience in AI-driven organizations.

Responsibilities

• Own end‑to‑end delivery of AI‑driven products.
• Define and implement delivery frameworks and governance models.
• Manage CI/CD pipelines, release automation, and code quality processes.

Skills

Core Java

Spring Boot

REST APIs

SQL/RDBMS

CI/CD

Microservices

Agile

AI/ML

Leadership

Education

Bachelor’s or Master’s degree in Computer Science/Engineering

PhD from a recognized institution

Tools

JIRA

Git

Docker

Kubernetes

Job description

Delivery Lead – AI/ML & Enterprise Software

Role : Delivery Lead – AI/ML & Enterprise Software
Location : Pune, Maharashtra (On-site)
Experience : 12–18 years
Employment Type : Full-Time
Salary Range : 35 – 45 LPA

Introduction

We are a fast‑growing, Series A‑funded AI‑driven fintech organization building next‑generation platforms for global banking, financial services, and asset‑management firms. Our solutions leverage advanced AI, machine learning, and large language models to solve complex, real‑world financial challenges at scale.

Role Overview

The Delivery Lead will own end‑to‑end delivery of enterprise‑grade AI products, ensuring scalability, quality, and predictability across multiple technology streams. This senior leadership role requires a strong technical background, hands‑on architectural understanding, and proven experience delivering complex, high‑impact products in global environments.

Experience Required

• 12–18 years of experience in software delivery, product engineering, or enterprise technology programs
• Proven track record of leading large‑scale product or platform deliveries
• Experience managing multi‑technology delivery teams in global or enterprise environments
• Strong background in product‑based or AI‑driven technology organizations
• Career progression with a strong technical foundation, moving from development roles to senior leadership

Key Responsibilities

• Own end‑to‑end delivery of AI‑driven products and enterprise implementations
• Define and implement delivery frameworks, governance models, and best practices
• Drive execution across multiple technology streams including Java, Angular, Python, AI/ML, and QA automation
• Partner with Product Management, Engineering, and Data Science teams to align delivery with product vision
• Oversee architecture reviews, technical design validation, and adherence to engineering standards
• Ensure adoption of microservices‑based, modular, and scalable system architectures
• Manage CI/CD pipelines, release automation, and code quality processes
• Ensure strong testing and quality assurance practices across the delivery lifecycle
• Enable seamless integration of AI/ML and LLM components into enterprise‑grade platforms
• Track and improve delivery metrics such as velocity, quality, risk, and utilization
• Proactively identify and mitigate delivery risks
• Lead client delivery planning, milestone reviews, and escalation management
• Mentor Technical Leads and Delivery Managers to build long‑term delivery maturity

Technical Skills & Competencies

• Strong expertise in Core Java, J2EE, Spring Boot, Spring MVC, REST APIs
• Experience designing and delivering microservices‑based architectures
• Hands‑on knowledge of SQL/RDBMS (PostgreSQL, Oracle, MySQL) and ORM frameworks (Hibernate, JPA)
• Familiarity with CI/CD and DevOps tools: Jenkins, Git, Maven/Gradle, SonarQube
• Solid understanding of software design patterns, system design, and scalable architectures
• Experience with automated testing frameworks: JUnit, Mockito, Selenium, TestNG
• Exposure to AI/ML systems, including integration of Python‑based ML or LLM components
• Understanding of performance engineering, fault‑tolerant systems, and distributed architectures
• Experience working in Agile environments with tools like JIRA and Confluence
• Familiarity with cloud‑native deployments (Docker, Kubernetes, AWS/Azure/GCP)

Educational & Background Requirements (Mandatory)

• Bachelor’s or Master’s degree in Computer Science / Engineering from IITs or equivalent premier institutes, OR

• PhD from a recognized top‑tier institution.
• Significant experience in AI‑led or deep‑tech product companies, forming a major portion of the candidate’s career.
• Candidates must have a strong technical career foundation, with hands‑on development exposure before moving into leadership roles, and clear product development experience.

What We’re Looking For

• A technology‑first delivery leader, not a purely managerial profile
• Strong ability to balance technical depth, execution excellence, and client engagement
• Experience delivering scalable, high‑performance products in regulated or complex domains
• Excellent communication, leadership, and stakeholder management skills
• Comfort working with global clients and distributed teams

Why This Role?

• Lead delivery for mission‑critical AI products used by global financial institutions
• Work at the intersection of Java, AI/ML, and fintech innovation
• High‑ownership role with visibility across product, technology, and client leadership
• Opportunity to build and scale world‑class delivery practices in a fast‑growing organization
• Collaborate with senior engineers, data scientists, and product leaders on cutting‑edge technology

Skills: technology, ml, software, architecture, enterprise, management, ai products, engineering, leadership, java, product