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Job Description
Structured overview of role & requirementsAbout This Role
Lead architecture and delivery of enterprise-scale AI solutions utilizing LLMs, multimodal models, Generative AI, RAG pipelines, and Agentic AI frameworks.
Define and implement AI architecture standards, cloud integration patterns, deployment, and cost estimation for production environments.
Collaborate with senior stakeholders to influence technology strategy and manage AI & engineering teams including mentoring and MVP development.
Minimum Requirements
Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field.
Minimum 5+ years of experience in AI/ML development including at least 3+ years focused on Generative AI and advanced Agentic AI systems.
Expert proficiency in Python, AI/ML libraries (PyTorch, TensorFlow, Hugging Face), FastAPI, and foundational frontend knowledge.
Strong knowledge of cloud platforms (AWS, Azure, GCP), embedding/vector databases (FAISS, Pinecone), and agent orchestration frameworks (LangChain, AutoGen).
Ideal Candidate Profile
Experienced in leading large-scale AI projects with a focus on scalable AI architecture design and enterprise delivery.
Technically proficient in advanced AI techniques including fine-tuning LLMs, prompt engineering, RAG, and production deployment.
Capable of managing cross-functional teams, engaging with senior stakeholders for strategic AI solution design, and ensuring compliance with AI governance frameworks.