Lead AIML Engineer

Job Summary We are seeking an experienced AI Engineering Lead with a strong background in Generative AI models, agentic systems, and machine learning algorithms . This role requires a leader who has hands-on experience in building AI-driven solutions for clients and delivering end-to-end AI solutions . You will lead a team of AI engineers , collaborate with cross-functional stakeholders, and drive the successful implementation of AI projects from ideation to deployment. Strong communication skills are essential to effectively articulate complex AI concepts to both technical and non-technical audiences. Key Responsibilities Lead the design, development, and deployment of AI/ML solutions with a focus on Generative AI and agentic AI models . Manage and mentor a team of AI engineers, fostering a culture of innovation, collaboration, and continuous learning. Develop and fine-tune ML models , including deep learning, NLP, reinforcement learning, and agent-based systems. Work closely with clients to understand business needs , define AI strategies, and deliver custom AI-driven solutions. Architect and implement scalable AI systems that integrate with enterprise applications. Stay updated with state-of-the-art AI research , applying best practices to solve real-world business problems. Drive participation in AI hackathons and industry challenges, fostering a team culture of innovation and experimentation. Collaborate with product managers, software engineers, and data scientists to ensure seamless deployment and monitoring of AI solutions. Present AI strategies and technical solutions to stakeholders, translating complex AI concepts into business value. Ensure AI models are ethical, fair, and transparent , with proper governance in place. Required Qualifications 8+ years of experience in AI/ML development, with at least 3 + years in a leadership role . Strong expertise in Generative AI (LLMs, diffusion models, transformers, etc.), agentic AI, and ML algorithms . Proven track record of delivering AI solutions for clients, including hands-on experience in deploying models into production. Experience with frameworks such as TensorFlow, PyTorch, LangChain, Hugging Face, OpenAI APIs, and other ML libraries . Strong programming skills in Python, Java, or similar languages . Familiarity with cloud-based AI/ML platforms (AWS, Azure, GCP) and MLOps practices. Experience leading AI hackathons or similar innovation-driven initiatives. Excellent problem-solving skills, with the ability to translate business needs into AI solutions . Strong interpersonal and communication skills, with the ability to explain AI concepts to both technical and non-technical stakeholders. Experience working in agile development environments .