Lead AI Engineer, AVP

Position Overview

Job Title: Lead AI Engineer, AVP

Location: Pune, India

Role Description

Innovation and the TDI Chief Strategy Office

• Deutsche Bank's Innovation team identifies, evaluates, and incubates cutting-edge technical innovation. It is part of the Chief Strategy Office of the bank's Technology, Data & Innovation (TDI) function and works globally with all business lines and infrastructure functions of the bank. A focus of the team is to create value for clients and the bank using Artificial Intelligence, Large Language Models (LLM) and other advanced data-driven technologies.
• As a Lead AI Engineer in the Innovation team of the TDI Chief Strategy Office you will lead technical teams to identify, evaluate, and execute data- and AI-driven and Agentic innovation projects.

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

• You design and build high-quality software products that use AI and other advanced data-driven technologies to create sustainable value for the Bank.
• You design and build intelligent agentic AI systems capable of autonomous decision-making, task execution, and interaction with various systems and users.
• You practice hands-on and servant technical leadership, enabling, supporting, and guiding your team of engineers. You stay close to the code and jump in to solve the hardest problems.
• You are responsible for the technical delivery of innovation projects and act as a trusted advisor to your team and the bank.
• You actively participate in the entire software development lifecycle, including requirements gathering, design, coding, testing, deployment, and ongoing maintenance.
• You work in a cross-functional team using your technical expertise to identify, evaluate and execute data- and AI-driven innovation projects.
• You contribute to identifying and evaluating applications of these technologies by providing your technical insight to your team and other stakeholders across the Bank.
• You communicate technical concepts and results effectively to both technical and non-technical audiences, and measure success by the business value your solutions generate.

Your skills and experience

• University degree in a technical or quantitative field (e.g., computer science, mathematics, physics, economics, etc.), preferably a Master's or Doctoral degree.
• 5+ years of experience in applying AI, machine learning and/or data science in business and/or academia.
• Experience building Generative AI solutions that leverage LLMs.
• Demonstrated experience in building and deploying agentic AI solutions such as Google ADK, including knowledge of agent architectures, reasoning, and planning.
• Several years of experience in leading technical teams that develop high-quality, production-grade software.
• Strong knowledge of Python and ideally one other programming language, as well as relevant data science or engineering frameworks (e.g., scikit-learn, TensorFlow, Spark, LangChain etc.).
• Knowledge of GCP or another major cloud platform.
• You live and breathe principles of good engineering, architecture and professional software development.
• Comfortable working with and managing uncertainty, ambiguity and different levels of stakeholders. You should feel just as comfortable presenting the pros and cons of a new architecture to senior management as you are debugging a cryptic error message with your team.
• Excellent oral and written communication skills in English.
• Ideally, practical experience in finance and banking.

Nice-To-Have Skills:

• Knowledge of MLOps principles and practices for deploying and managing AI models in production.
• Familiarity with containerization technologies (Docker, Kubernetes)
• Experience with Agile development methodologies.
• Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.

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:

We strive for a 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.