Data Science and AI Engineering Lead, VP

Deutsche Bank AG; Maharashtra; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Annual leave policy

Gender-neutral parental leaves

Childcare reimbursement

Certifications sponsorship

Employee Assistance Program

Health insurance for you and dependets

Health screening for 35+

Job summary

Deutsche Bank AG in Pune is hiring a Data Science and AI Engineering Lead to architect, build, and deploy scalable AI solutions for the Chief Strategy & Innovation Office. You will lead a high-performing team, partner with stakeholders, and drive AI adoption across the bank using platforms like Vertex AI and Google Cloud.

The role emphasizes governance, performance monitoring, and hands-on delivery of enterprise AI initiatives to accelerate digital transformation and cost efficiency.

Qualifications

• End-to-End AI Architecture & Leadership.
• Advanced model integration and optimization for enterprise tasks.
• Hands-on development with production-quality AI solutions.

Responsibilities

• Lead a Data Science and AI Engineering team and govern AI delivery across CSIO and IT.
• Oversee design, development and deployment of AI solutions with strong ROI focus.
• Ensure governance, testing, monitoring, and security controls for all AI projects.

Skills

AI Leadership

Python

Cloud Analytics

Model Integration

Team Leadership

Tools

Github

VS Code

PyTorch

TensorFlow

scikit-learn

MLflow

Weighs & Biases

Jupyter Notebook

Hugging Face

Langchain

Langgraph

Google Vertex

Neo4J

Job description

Job Description:Job Title: Data Science and AI Engineering Lead, VPLocation: Pune, IndiaRole DescriptionDriving the creation of new AI solutions for Chief Strategy & Innovation Office(CSIO).We are seeking an AI Engineer with more than 18+ years of experience who 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 Engineer eager to leverage advanced AI models and platforms to conquer complex business challenges and accelerate digital transformation across Deutsche Bank.As Deutsche Bank enters a phase where a variety of data and AI development tools are becoming more accessible, we are seeking an experienced Data Scientist and AI Engineer to help drive the implementation and deliver our AI Strategy for the Deutsche Bank.The role holder will be expected to lead the design, development and implementation of new AI solutions for stakeholders across the Deutsche Bank. These solutions will vary in terms of complexity, but all will have the goal of simplifying and accelerating Operations and Controls activities, achieving cost save targets, and driving revenue growth.What we’ll offer youAs part of our flexible scheme, here are just some of the benefits that you’ll enjoy:Best-in-class annual leave policyGender-neutral parental leaves100% reimbursement under childcare assistance benefit (gender-neutral)Sponsorship for industry-relevant certifications and educationEmployee Assistance Program for you and your family membersComprehensive hospitalization Insurance for you and your dependentsAccident and term life InsuranceComplementary health screening for 35 yrs. and aboveYour key responsibilitiesLeadership (20%):Help lead and develop a high-performing Data Science and AI Engineering teamHelp drive the adoption of AI and analytics best practice across CSIO, IT (TDI), and Deutsche Bank more widelyFoster a collaborative and innovative team environment, encouraging continuous learning and skill development on topics across AIStay abreast of industry trends and emerging technologies in data warehousing, business intelligence, and cloud analytics, particularly within the Google Cloud Platform ecosystem.Conduct performance reviews, provide constructive feedback, and support career progression for team members as neededStakeholder Management and Governance (10%):Help ensure the CBIBOC Data Science and AI Engineering book of work is transparently documented and managed to ensure tasks are efficiently allocated and executed, and progress is easily tracked and reportedEnsure AI governance requirements, as mandated by bank policy, regulation, or law, are adhered to for all new solutions developedProvide demos of new solutions, training materials, slides, and other materials as required to support the CBIBOC communication and upskilling agendaHands-on Development of AI Solutions (70%):Lead by example, working with other Squad members to design, develop, and implement novel AI solutionsPartner with business stakeholders and other Squad members to understand their needs and priorities, and identify new opportunities for the development or use of AI solutionsEnsure new AI use cases (Squad projects) are rigorously evaluated and prioritized based on expected ROI, strategic alignment, technical feasibility and riskEnsure all new AI solutions are thoroughly tested, validated, controlled (e.g. implementation of guardrails, access permissions, etc.), and monitored on an ongoing basisEnsure all new AI solutions are recorded in a centralized inventory and brought through the required approval steps prior to production implementationTrack against agreed KPIs to demonstrate the effectiveness and value of each AI solution (e.g. costs and benefits as well as accuracy/consistency/performance)Your skills and experienceStrategic AI Solution Development:End-to-End AI Architecture & Leadership: Lead the design, architecture, and implementation of highly scalable and robust AI-powered applications and services utilizing Python, FastAPI/Flask, FastMcp LangGraph, ADK and Google VertexAI.Advanced Model Integration & Optimization: Architect, integrate, and expertly fine-tune large language models, with a strategic focus on the Gemini Model, for advanced tasks and cutting-edge generative AI applications.Demonstrable experience using Data Science / AI developer tools and platforms such as Github, VS Code, PyTorch, TensorFlow, scikit-learn, MLflow, Weights and Biases, Jupyter Notebook, Hugging Face, Langchain, Langgraph, Google Vertex, Neo4J, etc.Experience with front-to-back AI solution design and architecture, particularly the design of agentic AI solutionsScalable System Integration & Cloud InfrastructureAPI Architecture & Integration: Drive the design and implementation of seamless API architectures and integrations with diverse internal and external systems, ensuring optimal data flow and functionality across the enterprise.Cloud Infrastructure Leadership: Lead the deployment, management, and optimization of AI solutions on cloud platforms, leveraging services like GCP CloudRun/GKE, BigQuery, Cloud Composer, and CloudSQL for resilient data processing and infrastructure management.Operational Excellence & Quality AssuranceCode Quality & AIOps Governance: Establish and enforce rigorous code quality standards and best practices for software development and AIOps, ensuring clean, maintainable, and well-documented code across all AI projects.Advanced Testing & Deployment Oversight: Architect and execute comprehensive test strategies for AI solutions, leading the deployment and continuous monitoring of models in production environments, ensuring high performance and reliability.Thought Leadership & Cross-Functional Collaboration:Research & Innovation Leadership: Actively lead research into the latest advancements in AI, machine learning, and natural language processing, translating cutting-edge developments into innovative solutions and strategic initiatives.Cross-Functional Strategic Partnership: Collaborate closely with product managers, data scientists, and other engineering leaders to define strategy, align priorities, and ensure the successful delivery of high-quality, impactful AI products that meet business objectives.Demonstrable experience with data / feature engineering, data product creation, and modern data solutions such as BigQuery, Looker, PostgreSQL, Pinecone, Spark, MongoDB, Redis, Databricks, Denodo, Snowflake, etc.Strong knowledge of current best practice for AI risk management across the solution lifecycle, and how to leverage technology to implement these controls (e.g. from development, testing, and validation of new solutions to setting access controls/permissions, implementing guardrails, and automating performance monitoring and reporting / dashboards)Ability to write / review Python code and experience using AI coding assistants (Claude Code, Github Copilot, etc.). SQL and Java experience desirable but not essential.Experience developing production-grade software within a Software Development Lifecycle (SDLC) control frameworkThe ability to balance people management, hands-on development work, and governance activities in a flexible day-to-day manner.The desire to grow and learn, keep up with the latest developments and new AI offerings emerging across the industry, and progress their Data Science / AI career.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 youTraining and development to help you excel in your careerCoaching and support from experts in your teamA culture of continuous learning to aid the progression of your careerA range of flexible benefits that you can tailor to suit your needsAbout us and our teamsPlease visit our company website for further information:https://www.db.com/company/company.htmlWe 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.