AI Specialist Manager

Job description

AI Specialist - Manager We are seeking a AI Specialist/ AI Architect with extensive experience in Generative AI (GenAI) , Retrieval-Augmented Generation (RAG) , and Agentic AI systems . This role requires high technical acumen , architectural design , and delivery of large-scale AI projects . You will influence technical roadmaps, manage teams, and ensure enterprise-grade AI solutions align with business objectives. Key Responsibilities: Lead and architect enterprise-scale AI solutions leveraging LLMs, multimodal models, and advanced GenAI techniques. Design and oversee RAG pipelines and Agentic AI frameworks for complex workflows. Define AI architecture standards , scalability strategies, and integration patterns with cloud services and be able to implement them from scratch. Collaborate with senior stakeholders to propose AI-driven solutions and influence technology strategy. Ensure compliance with security, governance, and ethical AI principles . Oversee model deployment, model cost estimation in production environments and ensure robust monitoring. Lead MVP development for rapid prototyping and proof-of-concept initiatives. Mentor and guide AI \& engineering teams, fostering innovation and best practices. Required Skills: Programming: Expert-level proficiency in Python and AI/ML libraries (PyTorch, TensorFlow, Hugging Face) and FastAPI . Should know the basics of frontend development Generative AI: Proven experience in LLM fine-tuning, prompt engineering, and production deployment. RAG \& Agentic AI: Advanced knowledge of embeddings, vector databases (FAISS, Pinecone), and agent orchestration frameworks (LangChain, AutoGen) and agent harness frameworks like deep agent or open code or claude code. Traditional ML \& Deep Learning: Strong foundation in ML algorithms and deep learning architectures (CNNs, RNNs, Transformers). Architecture \& Leadership: Ability to design scalable AI architectures , manage large teams, and deliver enterprise projects. Cloud Expertise: Strong understanding of cloud services (AWS, Azure, GCP), including compute, storage, networking, and AI-specific offerings. MVP Development: Experience creating proof-of-concepts and MVPs for rapid prototyping and stakeholder validation. Excellent communication and stakeholder management skills. Additional Preferred Skills: Experience with MLOps , CI/CD for AI, and multi-cloud deployments . Exposure to multi-modal AI , agent orchestration , and AI governance frameworks Hands-on experience deploying AI models in production environments with monitoring and scaling strategies. Cost Estimation: Exposure to estimating LLM model costs prior to deployment , including compute, storage, and inference optimization. Qualifications: Bachelor's or Master's degree in Computer Science, AI/ML, or related field. 7 years of experience in AI/ML development, with at least 3 years in Generative AI and advanced Agentic AI systems . Proven track record of implementing large-scale AI projects Experience Level Mid Level