Job Title :Lead AI Engineer - Lead Engineer**

Location: Pune

Corporate Title: VP

Role Description

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 :

- 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 Skilled Expertise :

- 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 e

📌 Leadai Engineer -leadengineer, Vp (Pune)
🏢 Deutsche Bank
📍 Pune