– Agentic AI Architect

We are seeking a highly accomplished Agentic AI Architect with 15+ years of software engineering experience and a proven track record of designing, architecting, and developing enterprise-scale Agentic AI platforms and autonomous AI workflows . The ideal candidate should possess robust programming expertise in Python or Java along with deep knowledge of Large Language Models (LLMs) , LangChain , and modern AI agent frameworks.

Key Responsibilities

- Architect and build enterprise-grade Agentic AI platforms and autonomous AI workflows from concept to production.
- Design scalable multi-agent architectures capable of reasoning, planning, memory management, and tool orchestration.
- Develop AI applications using Python or Java with a solid focus on maintainability, scalability, and performance.
- Build and optimize LLM-powered solutions using frameworks such as LangChain , LangGraph, LlamaIndex, CrewAI, or similar.
- Design Retrieval-Augmented Generation (RAG) architectures integrating vector databases and enterprise knowledge sources.
- Develop intelligent AI agents capable of tool calling, workflow automation, and complex decision-making.
- Collaborate with Product, Engineering, and Data Science teams to define AI architecture and technical strategy.
- Establish best practices for AI platform development, deployment, governance, observability, and security.
- Mentor engineering teams and provide technical leadership on AI architecture and emerging technologies.





Required Skills & Qualifications
- 15+ years of experience in software engineering with strong expertise in Python or Java .
- Proven experience architecting and delivering Agentic AI platforms , AI agents, or autonomous AI workflows in production.
- Strong hands-on experience with Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, or equivalent.
- Deep expertise in LangChain and experience with AI orchestration frameworks such as LangGraph, CrewAI, AutoGen, or LlamaIndex.
- Experience designing and implementing RAG (Retrieval-Augmented Generation) solutions and integrating vector databases.
- Strong understanding of prompt engineering, agent memory, tool/function calling, planning, and reasoning frameworks.
- Experience building scalable, cloud-native AI applications on AWS, Azure, or GCP.
- Strong knowledge of distributed systems, microservices architecture, REST APIs, Docker, and Kubernetes.
- Excellent software design, architecture, and problem-solving skills.
- Strong communication and stakeholder management abilities with experience leading technical architecture discussions.

Preferred Background
- Bachelor's or Master's degree in Computer Science or a related field from a premier engineering institute (IIT, BITS Pilani, IIIT, NIT, IISc, or equivalent).
- Prior experience working with leading product-based organizations building enterprise-scale AI platforms or AI-first products.

📌 Director - Agentic AI Architect (Pune)
🏢 Mancer Consulting Services
📍 Pune