Lead AI Engineer – Lead Engineer , VP

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’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 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:  Bachelor’s, Master’s 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 the Gemini Model, including fine-tuning and deployment strategies.  Conversational AI Development:  Expert proficiency in developing and optimizing conversational AI solutions using platforms like Dialogflow CX.  Agentic AI Architecture & Orchestration:  Solid understanding and advanced experience with Agentic AI principles, design patterns, and orchestration frameworks such as ADK and LangGraph for managing complex AI agents and workflows.  API Design, Integration & Management:  Master-level experience with API design, complex integration patterns, and comprehensive management in large-scale systems.  Cloud & Data Platform Leadership:   Google Cloud Platform (GCP) Expertise:  Strong, demonstrable experience with Google Cloud Platform (GCP) services including CloudRun/GKE, BigQuery, GCS and CloudSQL for AI/ML workloads.  Infrastructure as Code (Nice to have):  Familiarity with infrastructure as code tools like Terraform is an asset for architectural governance.  Deployment & UI/UX Oversight:   AIOps Leadership:  Strong familiarity and practical experience with AIOps (AI Operations) practices and tools for deploying, monitoring, and managing AI models in production environments.  UI Frameworks (Nice to have):  Experience with Svelte, Angular, Django, Streamlit, or Taipy for building user interfaces is a plus for full-stack AI application development.  Leadership & Strategic Competencies:   Strategic Problem-Solving & Analytical Acumen:  Exceptional analytical and problem-solving abilities with a meticulous attention to detail, capable of translating highly complex business requirements into strategic and effective technical AI solutions.  Executive Communication & Collaboration:  Outstanding communication and collaboration skills, with the ability to lead cross-functional teams, influence stakeholders at all levels, and articulate complex technical concepts and strategic visions clearly.  Proactive Innovation & Motivation:  Highly proactive and self-motivated with a demonstrable passion for continuous learning, driving innovation, and embracing new technologies as a technical leader.  Domain Knowledge (Preferred):  Experience in the financial services industry, is highly desirable. 

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.