Agentic AI Architect at PinnacleU. Design and architect production-grade agentic AI systems for higher education. 5+ years of hands-on software engineering experience required.

Company: PinnacleU

Role: Agentic AI Architect

Location: Pune

Experience:

5+ years of hands-on software engineering
3+ years specifically in production AI/ML systems

Key Skills:

LLM orchestration frameworks (LangChain, LangGraph, AutoGen, CrewAI, Google ADK)
Python
backend engineering fundamentals (APIs, microservices, async patterns)
RAG architectures
vector databases
semantic search
cloud platforms (AWS, GCP, or Azure)
containerized deployments (Docker, Kubernetes)

Role Focus:

Define end-to-end agentic AI architecture
Design multi-agent orchestration patterns
Architect RAG pipelines
Establish architectural standards
Design for non-functional requirements
Build production-grade systems
Define DevSecOps architecture
Implement human-in-the-loop checkpoints
Establish monitoring and observability frameworks
Design secure AI architectures

Additional responsibilities:

Produce clear architecture documentation
Communicate architectural trade-offs
Lead architecture and design reviews
Serve as technical point of
Stay current with latest agent frameworks and LLM advancements
Build prototypes and proof-of-concepts
Drive technology roadmap

Other:

₹38,00,000 - ₹40,00,000 per annum compensation
5 working days (Mon-Fri)
Opportunity to work with forward-thinking institutions

Agentic AI Architect

Skills Required

Description

Experience:

Key Skills:

Role Focus:

Additional responsibilities:

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