Lead AI Engineer, Director

AI in this role

fine-tuningai-automationai-safety

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 are seeking a visionary and 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 will 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

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.

Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

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.

How we score this

Lead AI Engineer, Director at Deutsche Bank scores 50 out of 100 on AI centrality, which makes it AI Level 2 of 4 (Uses AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 2. An ordinary role whose duties require using AI tools, such as coding, writing or sourcing with an assistant.

AI Level 480 to 100
AI Level 360 to 79
AI Level 240 to 59
AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Fine TuningAI AutomationAI Safety

Questions you could be asked

Walk me through fine-tuning a model: what data did you use, and how did you check the result?
Tell me about a workflow you automated with AI tools, end to end.
How do you think about the risk of an AI system in this kind of role failing silently?
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

List these exact terms on your resume: Fine Tuning, AI Automation, and AI Safety. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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