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About the role
Artificial Intelligence Engineering Manager: Lead the path for execution of E2E Artificial Intelligence Solutions. Location: Pune / Mumbai, Hybrid Working Experience: 9-12 Years (Minimum 7 Years in AI Development) Industry: Credit Rating Financial Analytics As an AI Manager, you'll spearhead the design, development, and deployment of GenAI solutions that power our next-gen analytics platforms. Your leadership will empower a high-performing team and deliver interpretable, production-ready LLM-powered solutions that redefine industry standards in data-driven decision-making What will your day look like - Lead and mentor a energetic team of 3-5 AI engineers, fostering a collaborative, growth-first culture. - Design and architect scalable AI/ML platforms and infrastructure that support enterprise-wide AI initiatives, including multi-agent systems, RAG pipelines, and model lifecycle management. - Implement agentic AI design patterns, building on frameworks like Autogen, LangGraph, CrewAI or develop bespoke agentic architectures from the ground up. - Integrate advanced GenAI frameworks, leveraging recent advancements such as Model Context Protocols (MCP) and Agent-to-Agent (A2A) frameworks for complex analytic workflows. - Mentor and guide technical teams, elevating architectural rigor, code quality, and operational excellence while staying current with emerging AI technologies and industry best practices. - Oversee the complete lifecycle of AI solutions: data acquisition and curation, feature engineering, model training (SFT, RLHF), evaluation and guardrails, CI/CD, deployment, monitoring, and iterative improvement. - Implement observability and reliability for AI systems (offline/online evals, data/model drift). Promote transparency through open-source contributions; GitHub or Kaggle visibility is highly valued. Whats in your toolkit - A bachelors or masters degree in computer science, statistics, mathematics, engineering, or a related field. - 9 to 12 years of experi .
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