Lead AI Engineer, Director

Deutsche Bank; Pune District; On-site; INR 3,500,000 - 6,000,000; Full time

Benefits offered by this job

Leave policy

Parental leaves

Childcare assistance

Certifications support

Employee Assistance Program

Hospitalization insurance

Term life Insurance

Health screening

Job summary

Deutsche Bank in Pune, India, seeks a Lead AI Engineer to architect, develop, and deploy AI solutions driving digital transformation in Treasury. The role leads cross-functional programs with Agile delivery leadership and governance responsibilities.

The candidate will guide teams in adopting GenAI, ensure secure, scalable architectures, and partner with business and risk stakeholders to deliver high-impact AI initiatives.

Qualifications

• 18+ years of technology delivery and leadership experience.
• Proven success delivering large-scale, multi-team initiatives.
• Deep knowledge of AI/ML with GenAI governance and responsible AI considerations.

Responsibilities

• Build an AI platform foundational to consuming LLMs within the company.
• Develop scalable, agile architecture adaptable to changing AI landscapes.
• 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 with outcomes over process.
• Define and track delivery metrics for engineering health and business impact.
• Partner with architects and senior engineers to ensure scalable, secure, and operable solutions.
• Lead multiple tribe deliveries and align planning across portfolios.
• Communicate delivery status and risks to stakeholders in an executive-ready manner.

Skills

AI/GenAI leadership

AI/ML expertise

Delivery leadership

Agile methodologies

Stakeholder management

Executive communication

Cloud platforms

DevOps

Data platforms

Tools

Cloud platforms

DevOps

Data platforms

Job description

Job Title: Lead AI Engineer

Location: Pune, India

Corporate Title: Director

Role Description

As a Lead AI Engineer, you will stand at the forefront of innovation, architecting, developing, and deploying groundbreaking AI solutions that redefine what’s possible. We seek a visionary, highly motivated leader eager to leverage advanced AI models and platforms to conquer complex business challenges and accelerate digital transformation in Treasury. From intelligent automation to sophisticated conversational AI, you’ll guide projects utilizing a modern technology stack to forge impactful, scalable applications. This role offers a unique opportunity to shape the future of AI, delivering solutions that dramatically enhance user experiences and operational efficiencies.

Benefits

• 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-tune and evaluate as integral part of the 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 tribe 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

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, evaluation frameworks, and GenAI applications, and governance considerations
• Excellent communication skills for cross-functional collaboration
• Ability to work independently and manage multiple projects simultaneously
• Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems