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 compl…