Agentic AI - AWS Architect

Persistent; Dadri, Pune District, Bengaluru; On-site; INR 4,000,000 - 7,500,000; Full time

Benefits offered by this job

Competitive pay

Growth opportunities

Cutting-edge technologies

Flexible hours

Annual health check-ups

Insurance coverage

Job summary

Persistent is seeking an experienced Agentic AI - AWS Architect to design and govern AI-first enterprise solutions across the full SDLC, focusing on scalable agent frameworks, RAG-based apps, and cloud-native AWS architectures.

You will lead back-end patterns with Node.js, review code for security and performance, mentor engineers, and collaborate with teams to build reusable templates and governance models for reliable delivery.

Qualifications

• 10+ years in software engineering or architecture in enterprise contexts.
• Hands-on AI agents, agentic workflows and tool calling in enterprise setups.
• Experience with LLM architectures including prompt design, RAG and embeddings.
• Strong AWS exposure across serverless, event-driven services and governance.

Responsibilities

• Define and maintain AI-first reference architectures for agentic workflows and RAG patterns.
• Design and govern multi-agent solutions integrating enterprise systems and data.
• Architect cloud-native AWS solutions using Lambda, API Gateway, S3 and more.
• Provide architectural guidance across SDLC phases including reviews and governance.
• Own backend architecture with Node.js, API design, asynchronous processing and security.
• Define agent guardrails: authentication, authorization, safety checks, human-in-the-loop.
• Guide event-driven design across queues, streams, event buses and integrations.
• Review AI-generated code for quality, security, performance and adherence to patterns.
• Collaborate to build reusable templates, agent patterns and workflow blueprints.
• Define evaluation and quality approaches for agent outputs and observability.
• Document decisions, constraints and operational considerations for leadership.
• Mentor engineers on AI-first design and responsible AWS engineering.

Skills

Software engineering

Application architecture

Cloud architecture

Enterprise design

Tools

Node.js

AWS

Lambda

API Gateway

SQS

SNS

EventBridge

Kinesis

DynamoDB

S3

CloudWatch

IAM

Spark

Scala

Java

Job description

About Position:

We are looking for an experienced Agentic AI - AWS Architect to lead the design and governance of AI-first enterprise solutions across the complete SDLC lifecycle. The role involves architecting scalable, secure, and reusable AI agent frameworks, multi-agent systems, RAG-based applications, and cloud-native solutions on AWS. The ideal candidate will have strong expertise in Java, Spark, and Scala, along with hands-on experience in AI agents, LLM-based applications, AWS cloud architecture, and enterprise-scale solution design.

• Role: Agentic AI - AWS Architect
• Location: Bengaluru, Pune, Noida
• Experience: 10 to 16 Years
• Job Type: Full-Time Employment

What You'll Do:

• Define and maintain AI-first reference architectures covering agentic workflows, RAG patterns, tool/function calling, prompt orchestration, knowledge retrieval, evaluation and monitoring.
• Design and govern multi-agent solutions integrating enterprise systems, structured/unstructured data, APIs, workflows and AI services.
• Architect cloud-native solutions on AWS using appropriate services for compute, eventing, storage, search, observability, security and integration.
• Provide architectural guidance and reviews across SDLC phases solutioning, design, implementation, code review, deployment and production governance.
• Own backend architecture patterns using Node.js, including API design, asynchronous processing, error handling, retries, security, scalability and maintainability.
• Define agent guardrails including authentication, authorisation, safety checks, data boundaries, human-in-the-loop controls, auditability and failure handling.
• Guide event-driven and serverless design across Lambda, queues, streams, event buses, API gateways and downstream integrations.
• Review agent-generated or AI-assisted code for architectural consistency, quality, security, performance and adherence to approved patterns.
• Collaborate with engineering teams to build reusable templates, agent patterns, workflow blueprints and implementation standards for faster delivery.
• Define evaluation and quality approaches for agent outputs, including test datasets, regression checks, hallucination risk controls, response validation and observability.
• Document architecture decisions, assumptions, constraints, trade-offs and operational considerations for team consumption and leadership review.
• Mentor engineers and architects on AI-first design principles, AWS-native patterns, Node.js backend practices and responsible AI engineering.

Expertise You’ll Bring:

• 10 to 15 years of software engineering, application architecture, cloud architecture or enterprise solution design experience.
• Hands-on experience creating AI agents, agentic workflows, tool/function-calling flows, AI assistants or automation agents in enterprise contexts.
• Strong understanding of LLM application architecture including prompt design, RAG, embeddings, vector search, context management, evaluation and response grounding.
• Strong AWS exposure with practical architecture experience across serverless, event-driven and cloud-native services such as Lambda, API Gateway, SQS, SNS, Event Bridge, Kinesis, DynamoDB, S3, CloudWatch and IAM.
• Strong working experience with Node.js for backend services, APIs, integration layers and cloud-native application development.
• Ability to design scalable, secure and reusable AI-first architectures that integrate enterprise applications, data sources and external services.
• Experience with event-driven architecture, asynchronous communication, retries, idempotency, dead-letter handling, observability and production resilience.
• Good understanding of data patterns across relational, document, key-value, search and vector stores; ability to reason about access patterns and performance trade-offs.
• Architecture governance experience across design reviews, code reviews, production-readiness checks, security reviews and technical risk management.
• Strong communication skills with ability to explain AI architecture trade-offs to business stakeholders, product teams and engineering leadership.

Benefits:

• Competitive salary and benefits package
• Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We support hybrid work and flexible hours to fit diverse lifestyles.
• Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."