Lead Engineer - AI & Technology Delivery Director

Lead Engineer

Job Description:

Job Title: Lead Engineer

Corporate Title: Director

Location: Bangalore, India

Role Description

• We are seeking a delivery-focused Director with a strong understanding of the engineering and AI landscape, agile execution, and stakeholder management. This role is responsible for end-to-end delivery outcomes, ensuring teams operate effectively across modern technology stacks, while leveraging AI and automation to improve speed, quality, and predictability.
• The role requires engineering fluency rather than hands-on expertise, the ability to ask the right questions, evaluate trade-offs, and guide teams toward sound technical decisions. The role will shape LLM performance, AI strategy for the company and AI platform development.

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy,

• Best in class leave policy.
• Gender neutral parental leaves
• 100% reimbursement under childcare assistance benefit (gender neutral)
• Sponsorship for Industry relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive Hospitalization Insurance for you and your dependents
• Accident and Term life Insurance
• Complementary Health screening for 35 yrs. and above

Your key responsibilities

AI Delivery & Execution Excellence

• Build an AI platform that is foundational to the consumption of LLMs within the company
• Build a scalable yet agile architecture that can adopt to changing AI landscape
• Fine Tuning and Eval as integral part of execution cycle
• Own end-to-end delivery of large, cross-functional programs with accountability for timelines, quality, cost, and risk.
• Drive predictable delivery using Agile and hybrid delivery models, focusing on outcomes over process.
• Anticipate delivery risks early and ensure timely mitigation.
• Define and track delivery and engineering health metrics (flow, predictability, stability, and business impact).

Engineering Landscape & Technology Oversight

• Partner effectively with architects and senior engineers to ensure solutions are scalable, secure, and operable.
• Ensure adherence to engineering standards, governance, and best practices.

Agile & Operating Model Leadership

• Champion Agile principles with a delivery-first mindset, avoiding unnecessary ceremony.
• Align teams on planning, dependency management, and execution across portfolios.
• Drive continuous improvement using data, retrospectives, and delivery insights.
• Lead multiple tribes deliveries.

Stakeholder & Executive Management

• Act as the primary interface between business, product, engineering, risk, and operations stakeholders.
• Communicate delivery status, risks, and trade-offs in a clear, executive-ready manner.
• Build trust through transparency, consistency, and dependable execution.

AI & Intelligent Enablement

• Identify practical opportunities to use AI/GenAI and automation to improve engineering productivity, quality, and operational efficiency.
• Ensure responsible AI adoption aligned with governance, security, and risk frameworks.
• Support teams in embedding AI-assisted tooling into delivery and decision-making processes.
• Familiarity with AI-assisted engineering tools (e.g., code assistants, test generation, documentation, analytics).
• Understanding of AI system lifecycle: data readiness, model training vs. consumption, deployment, monitoring, and drift.
• Awareness of responsible AI principles, including data privacy, bias, explainability, security, and regulatory considerations.
• Experience partnering with data science, AI engineering, and platform teams to deliver AI enabled outcomes.
• Exposure to enterprise GenAI platforms, LLM-based tools, or intelligent automation initiatives.
• Ability to guide teams on pragmatic adoption of GenAI without disrupting delivery or increasing operational risk.

People & Culture

• Lead and develop engineering managers and delivery leaders, fostering accountability and ownership.
• Create a culture focused on execution excellence, collaboration, and continuous learning.

Your skills and experience

• 18+ years of experience in technology delivery and leadership, with significant time at Director or equivalent level.
• Strong understanding of modern engineering ecosystems (cloud, distributed systems, DevOps, data platforms).
• Proven success delivering large-scale, multi-team initiatives.
• Deep experience operating in Agile enterprise environments.
• Excellent stakeholder, executive communication, and influence skills.
• Deep working knowledge of AI/ML with active experience in model performance optimization techniques, eval frameworks and GenAI applications, and governance considerations.
• Excellent communication skills for cross-functional collaboration. Ability to work independently and manage multiple projects simultaneously.

How we’ll support you

• Training and development to help you excel in your career.
• Coaching and support from experts in your team.
• A culture of continuous learning to aid progression.
• A range of flexible benefits that you can tailor to suit your needs.

About us and our teams

Please visit our company website for further information:

https://www.db.com/company/company.html

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.

Experience Level

Senior Level