Artificial Intelligence Engineering – Manager/Lead

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.

Open Positions

1

Mandatory Skills

ML Algorithms, Machine Learning, Agentic Ai, Cloud Computing

Education Qualification

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

Experience

9 to 12 years