Vacancy description
r3 consultant
India, Pune
Lead AI Engineer - Generative AI in Pune, India is listed on Jobeax. Browse 30,000+ vacancies available.
Key Responsibilities:- Lead the design and architecture of enterprise AI and Generative AI solutions.- Define end-to-end architecture for scalable AI applications, platforms, and reusable AI services.- Translate business requirements and use cases into scalable Data & AI technical solutions.- Design and implement solutions leveraging LLMs, RAG, AI agents, model orchestration, embeddings, vector search, and knowledge retrieval.- Evaluate and select appropriate AI models, frameworks, cloud services, databases, and technology stacks.- Lead the development of full-stack AI applications, integrating AI services with backend systems, APIs, frontend applications, and enterprise platforms.- Design scalable backend services using Python, REST APIs, microservices, and cloud-native technologies.- Lead the implementation of RAG pipelines including document ingestion, chunking, embeddings, retrieval, reranking, and response generation.- Architect and implement solutions using Azure, AWS, and/or GCP.- Drive production deployment using CI/CD, Docker, Kubernetes, DevOps, MLOps/LLMOps, and cloud-native practices.- Ensure AI solutions meet enterprise requirements for scalability, security, reliability, performance, observability, governance, and cost optimization.- Lead technical POCs and drive the transition of successful prototypes into production-grade solutions.- Provide technical leadership, mentoring, and guidance to AI engineers and cross-functional engineering teams.- Review architecture, solution designs, technical approaches, and code to ensure engineering quality and scalability.- Collaborate closely with enterprise architects, data engineers, software engineers, product teams, and business stakeholders.- Lead enterprise AI transformation and modernization initiatives and identify opportunities to apply AI and GenAI to business problems.- Define reusable AI capabilities, architecture patterns, and engineering standards to accelerate enterprise AI adoption.- Support technology assessments, AI strategy, solution roadmaps, effort estimation, and technical proposals.- Ensure AI solutions align with enterprise architecture, data privacy, security, responsible AI, and governance https://jobeax.com/link/NKlt3YnZFxTxA2qx Skills & Experience :- Strong experience in AI Solution Architecture, AI System Design, and enterprise AI engineering.- Deep hands-on expertise in LLMs, Generative AI, RAG, embeddings, prompt engineering, and AI agents.- Strong proficiency in Python and SQL.- Experience designing and developing scalable full-stack AI applications.- Strong knowledge of API architecture, REST APIs, microservices, and distributed systems.- Strong experience with vector databases and enterprise search technologies.- Extensive experience with at least one major cloud platform: Azure, AWS, or GCP.- Strong understanding of CI/CD, DevOps, MLOps/LLMOps, Docker, Kubernetes, and production deployment.- Experience designing enterprise-grade AI platforms with focus on security, scalability, reliability, observability, and cost optimization.- Proven experience providing technical leadership and mentoring engineering teams.- Strong stakeholder management, communication, problem-solving, and solutioning skills. (ref:hirist.tech)
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