Agentic AI Architect (12-15 Years) - PAN India-Immediate Joiners

Anlage Digital; Bengaluru; On-site; INR 4,500,000 - 6,500,000; Full time

Job summary

Anlage Digital in Bengaluru seeks an Agentic AI Architect to design and deliver production-grade agentic systems on AWS. The role covers architecture, design, and hands-on implementation bridging high-level design and runnable code.

Responsibilities include building multiagent architectures, deploying agentic workflows on Bedrock, Lambda, SageMaker, and ECS/EKS, and guiding Python engineers to scale prototypes into production solutions.

Qualifications

• 12+ years of relevant experience in AI architecture and delivery.
• Hands-on capability with production-grade systems and cloud platforms.

Responsibilities

• Design multiagent architectures for real-world business use cases.
• Architect and deploy agentic workflows on AWS Bedrock, Lambda, SageMaker, ECS/EKS.

Skills

Python

AWS

Distributed systems

Agentic AI

Tools

Bedrock

Lambda

SageMaker

ECS/EKS

Job description

Urgently looking out for candidates for Agentic AI Architect with one of my esteemed client for PAN India

Years of Experience

12-15 years

Role

We are looking for an Agentic AI Architect to design and deliver production grade agentic systems on AWS. This role owns the full lifecycle from architecture and design to hands-on implementation bridging the gap between highlevel system design and working code.

• Design multiagent architectures planning tool use memory orchestration real business use cases
• Architect and deploy agentic workflows natively on AWS Bedrock Lambda Step Functions SageMaker ECS/EKS
• Write production quality Python code While architecting this is a hands-on builder/user role
• Define agent-to-agent communication tool/function calling patterns and orchestration frameworks LangGraph CrewAI Bedrock Agents or custom
• Build RAG pipelines and integrate vector stores OpenSearch Pinecone etc into agent workflows
• Establish guardrails evaluation frameworks and observability for agentic systems in production
• Optimize for latency cost and reliability across distributed agent workflows on AWS
• Collaborate closely with Python engineers guiding them on implementation while co-building core agent components
• Prototype rapidly iterate based on evals and take solutions from POC to scaled deployment
• Stay current with the agentic AI ecosystem and bring emerging patterns into the architecture