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.