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Job Description:Job Title: Lead AI Engineer Lead Engineer Location: Pune Corporate Title: VP Role Description As aLead 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 efficienciesWhat well offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class 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 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 .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.