Delivery Lead – AI/ML & Enterprise Software
Base pay range: 35 - 45 LPA
Role Overview
The Delivery Lead will be responsible for end-to-end ownership of AI-based product and enterprise deliveries, ensuring scalability, quality, and predictable execution 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.
Seniority Level
Employment Type
Job Function
- Management and Manufacturing
Industries
Skills: technology, ml, software, architecture, enterprise, management, ai products, engineering, leadership, java, product