AI Solution Manager

Role Summary We are seeking an experienced and visionary AI Solution Manager to drive the end-to-end lifecycle of our cutting-edge AI solutions. You will be a key player in shaping our AI strategy, providing technical and professional mentorship to a talented team, and leading the development of sophisticated AI Agents and LLM-powered applications. This role requires a blend of deep technical expertise, strategic leadership, and the ability to inspire a team to translate complex business problems into scalable, production-ready AI systems. Roles and Responsibilities ● Collaborate closely with senior stakeholders and business teams to gather and interpret requirements, ensuring that AI solutions align with business objectives and deliver measurable value. ● Lead, mentor, and manage a team of AI engineers, and machine learning engineers, promoting an innovative and results-driven culture. ● Innovation Leadership: Stay at the forefront of the latest developments in AI and foster an environment of innovation, bringing new ideas and technologies to our clients. ● Agentic/chatbot + web integration: Design and ship LLM agents and chatbots; integrate into web apps/APIs (Node.js/TypeScript/Python, REST/GraphQL, React/Next.js). Apply agent-to-agent (A2A) patterns and MCP for tool interoperability; manage prompts, memory, tools, safety, and fallbacks. ● RAG & knowledge systems: Build and operate RAG pipelines—ingestion, chunking, embeddings, hybrid search/rerankers, and vector stores (e.g., pgvector/Pinecone/Weaviate)—with freshness, access control, and governance. ● Architectural Design: Architect end-to-end, scalable AI solutions, selecting the optimal technology stack that balances performance, scalability, and operational cost. ● Design and develop of proof-of-concepts (PoCs), minimum viable products (MVPs), and scalable AI applications particularly with generative AI. ● Oversee the technical architecture for deploying scalable AI solutions, utilizing Docker, Kubernetes, and implementing robust version control & CI/CD pipelines. ● Plan resource allocation and project timelines, ensuring projects are delivered on time and within budget.Qualifications ● Educational Background: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. ● Consulting Leadership: A minimum of 7 years of experience in AI engineering and software development, with a minimum of 2 years in a leadership position managing technical teams. ● Proven experience as a software engineer, with ownership of features deployed in production environments ● Effective Communication: Exceptional problem-solving and communication skills, with the ability to influence clients at an executive level. ● Cloud and Database Knowledge: Understanding of Cloud technology and databases (Cloud AWS, Azure, GCP) to facilitate data solutions. ● Solid understanding of the full software development lifecycle, including CI/CD, monitoring, and observability in high-load systems ● Strong programming skills in Python, with hands-on experience using libraries like NumPy, Pandas, Scikit-learn, Transformers, and TensorFlow or PyTorch ● Experienced in Agentic systems: Tool/function calling, planning, memory; orchestration (LangChain/LlamaIndex, AutoGen/CrewAI); A2A patterns and MCP for interoperable tools. ● Experienced in RAG & knowledge: Ingestion/ETL, chunking/metadata, embeddings, hybrid search + rerankers; vector DBs (pgvector, Pinecone, Weaviate, OpenSearch). ● Web & API integration: Strong in Node.js/TypeScript/Python; REST/GraphQL; React/Next.js