AI Solution Lead

AI Solution Lead

(Data Scientist / Agentic AI Architect)
Experience: 8–12 Years
Location: Bengaluru / Hyderabad
Work Model: Hybrid
Shift Timing: 2:00 PM – 11:00 PM
Interview Mode: Virtual

Role Overview

We are seeking an experienced AI Solution Lead with deep expertise in Agentic AI, Large Language Models (LLMs), and enterprise automation. The role requires ownership of end-to-end AI solution architecture, leadership of AI engineering teams, and delivery of scalable AI systems for Finance Operations and ERP AMS environments.

Key Responsibilities

• Design and own end-to-end AI solution architectures for Finance Ops, ERP AMS, and Managed Services use cases.
• Lead development of Agentic AI workflows using LangChain, AutoGen, CrewAI, and Semantic Kernel.
• Architect and implement RAG pipelines, embeddings, and vector databases using Pinecone, Chroma, or FAISS.
• Integrate AI solutions with Oracle, SAP, and Finance Ops systems through APIs and Oracle Integration Cloud (OIC).
• Build and optimize prompt chains for autonomous agents with strong governance, observability, and auditability.
• Define reusable AI frameworks, accelerators, and common components for the MS AI Factory.
• Collaborate with Finance, ERP, and business SMEs to convert pain points into scalable AI use cases.
• Lead and mentor a team of AI engineers, delivering production-ready solutions in 6-week sprint cycles.
• Ensure security, compliance, scalability, and performance of AI systems in enterprise environments.

Mandatory Skills

• 8–12 years of experience in AI/ML, automation, or software engineering
• Advanced proficiency in Python and API development
• Strong hands-on experience with LLM frameworks (LangChain, AutoGen, CrewAI, Semantic Kernel)
• Expertise with LLM APIs (OpenAI, Anthropic, Gemini, Mistral)
• Proven experience in Agentic AI and intelligent automation
• Strong understanding of enterprise integration patterns

Nice to Have Skills

• Experience delivering AI solutions for Finance Ops, ERP AMS, or Managed Services
• Hands-on knowledge of vector databases and embedding strategies
• Exposure to Oracle, SAP, OIC, and large enterprise systems
• Experience defining AI governance, compliance, and audit frameworks
• Prior experience building internal AI platforms or AI factories

Job Type: Full-time

Application Question(s):

• Are you comfortable with a hybrid model and a shift timing of 02:00 Noon to 11:00 PM IST?
• What is your official notice period? Are you currently serving it? If yes, please mention your last working day.

Work Location: In person