Lead AI Engineer Lead Engineer , VP

Deutsche Bank; Mumbai City; On-site; INR 2,400,000 - 5,200,000; Full time

Benefits offered by this job

Leave policy

Parental leaves

Childcare assistance

Certifications sponsorship

EAP for you and family

Health insurance

Life insurance

Job summary

Deutsche Bank seeks a Lead AI Engineer to architect and deploy scalable AI-powered applications, leveraging Python, FastAPI/Flask, and Google VertexAI. You will guide the integration of large language models, including Gemini, for advanced NLP tasks and conversational AI. Lead AI projects ensuring robust operations and impactful business outcomes.

The role emphasizes strategic leadership, scalable cloud infrastructure, and collaboration with product teams to deliver high-quality AI products.

Qualifications

• Academic foundation in a quantitative field (CS/AI/Math).
• 13+ years in AI engineering with leadership experience.
• Strong programming in Python; experience with API frameworks.

Responsibilities

• Lead end-to-end AI architecture and system design.
• Integrate and fine-tune large language models, esp. Gemini in NLP tasks.
• Oversee conversational AI and agentic AI patterns across platforms.
• Drive cloud-native API design and robust deployment practices.

Skills

Leadership in AI engineering

AI/ML expertise

Strategic thinking

Education

Bachelor/Master/PhD in CS/AI/Math

Tools

Python

FastAPI/Flask

Google VertexAI

Dialogflow CX

ADK

LangGraph

BigQuery

Cloud Run

GKE

Cloud Composer

CloudSQL

Job description

Job Description:Job Title: Lead AI Engineer Lead Engineer

Location: Pune

Corporate Title: VP

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. 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 can 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

Strategic 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, 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 NLP tasks and cutting-edge generative AI applications. Pioneering Conversational & Agentic AI: Conversational AI Innovation:Lead the development and enhancement of sophisticated conversational AI agents using Dialogflow CX, focusing on pioneering natural language understanding and response generation capabilities. Agentic AI System Orchestration:Architect and implement advanced Agentic AI patterns, orchestrating complex AI workflows using frameworks like ADK and LangGraph to build robust, intelligent, and autonomous systems. Scalable System Integration & Cloud Infrastructure: API 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 Assurance: Code 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.

Your skills and experience

Educational Foundation: Academic Background:Bachelors, Masters or PhD in a relevant quantitative field such as Computer Science, AI/ML Engineering, Statistics, Mathematics, or Engineering. Extensive Professional Expertise: Leadership in AI Engineering:Proven experience (13+ years) in an AI Engineer role, demonstrating successful application of AI skills and advanced techniques to solve complex, real‑world problems, with a track record of leading technical initiatives. Technical Mastery & Specialization: Programming & Data Science Proficiency:Expert-level proficiency in programming languages commonly used in data science, particularly Python (with libraries like scikit-learn, pandas, NumPy), SQL, etc. Web Frameworks for APIs:Extensive experience with web frameworks like FastAPI or Flask for building robust and scalable APIs. Google VertexAI Platform Expertise:Deep hands‑on experience and proven expertise with the Google VertexAI platform. Large Language Model (LLM) Leadership:Demonstrated expert-level experience working with large language models, particularly .