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 dynamic 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.
What's in your toolkit
- A bachelor's or master's degree in computer science, statistics, mathematics, engineering, or a related field.
- 9 to 12 years of experience in machine learning, computer vision with a special emphasis on large language models.
- Proficiency in Python and its data science libraries such as pandas, numpy, TensorFlow, pytorch and HuggingFace, LangChain or Haystack.
- Define patterns for Agentic AI (planning, tool-use/function calling, memory, feedback loops, multi-agent collaboration), and standardize frameworks for orchestration and evaluation at scale.
- Should be hands on with latest in RAG practices and SLM fine tuning.
- Hands-on experience deploying and maintaining data science solutions on cloud platforms like Azure, AWS, or GCP.
- Has experience in sourcing data from SQL and NoSQL db. A basic knowledge of databases is a must.
- A Kaggle profile that reflects your expertise will be an added advantage.
- Excellent communication and presentation skills are mandatory.
- The ability to balance independent and collaborative work in a fast-paced environment.
Educational Background:
- Bachelor's or Master's degree from premier Indian institutes (IITs, IISc, NITs, BITS, IIITs etc.) in:
- Computer Science, or
- Any Engineering discipline, or
- Mathematics or related quantitative fields.
Benefits:
- Hybrid work model combining remote flexibility and collaborative office culture in Pune or Mumbai.
- Continuous learning budget for certifications, workshops, and conferences.
- Opportunities to work on industry-leading AI research and shaping the future of financial services.
