AI Engineer - Manager

Key Responsibilities - Lead and manage a team of AI engineers in developing and deploying AI solutions that meet client needs. - Oversee the design and implementation of AI models, ensuring they are robust, scalable, and optimized for performance. - Advise clients on AI strategy and innovation, providing insights into emerging AI technologies and their applications. - Collaborate with cross-functional teams to integrate AI solutions into broader business strategies. - Drive the practical application of AI technologies, such as Generative AI, RAG, and Agentic AI, in client projects. - Ensure effective use of AI tools such as Copilot Studios, AI Foundry, LangGraph, and Azure AI in project delivery. - Develop enterprise use cases and demonstrate the value of AI solutions through successful project execution. - Stay abreast of industry trends and advancements in AI, ensuring the firm remains a leader in AI consulting. Overview - The Senior AI Engineer Manager role is pivotal in spearheading transformative AI projects within a premier consulting firm located in Bangalore. - This position demands a seasoned leader with extensive experience in AI engineering, particularly within consulting settings, to deliver strategic solutions across diverse industries. - The role involves leveraging state-of-the-art AI technologies such as Generative AI, RAG, and Vector Databases to create impactful client solutions. - As a key figure in the organization, the Senior AI Engineer Manager will drive innovation, ensuring the firm's leadership in AI consulting is maintained. - The selected candidate will be instrumental in guiding the team to harness the potential of AI technologies, aligning them with client business strategies. - Operating at a Level 5, the role requires 9-12 years of experience in AI engineering, with a focus on practical applications. - The successful candidate will possess strong technical skills, particularly in Python, and will have a track record of implementing AI solutions in enterprise settings. - This role also demands excellent communication skills to effectively translate complex AI concepts to non-technical audiences. - The ideal candidate will be available to join the team by July, ready to contribute immediately to ongoing projects. - The position is integral to advising clients on AI strategy and innovation, offering insights into emerging technologies and their practical applications. - The Senior AI Engineer Manager will collaborate extensively with cross-functional teams to ensure seamless integration of AI solutions into broader business strategies. - By staying abreast of industry trends and advancements, the role ensures that the firm remains at the forefront of AI consulting. - With a focus on both leadership and technical prowess, the role involves managing a team of AI engineers to develop and deploy AI solutions tailored to client needs. - The Senior AI Engineer Manager will oversee the design and implementation of robust, scalable AI models while ensuring project outcomes align with enterprise use cases. - This position is not only strategic but also requires hands-on involvement to demonstrate the tangible value of AI projects. Requirements - 9-12 years of experience in AI engineering, with a focus on practical application in consulting environments. - Strong expertise in Python and experience with Generative AI, RAG, and Vector Databases. - Hands-on experience with Agentic AI, Copilot Studios/AI tools, and AI Foundry (Microsoft). - Preferred experience with LangGraph and Azure AI, demonstrating the ability to implement these technologies in projects. - Proven track record of delivering AI solutions in enterprise settings, showcasing use cases and project outcomes. - Excellent communication skills, with the ability to articulate complex AI concepts to non-technical stakeholders. - Ability to join the team by July and contribute immediately to ongoing projects.