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, EventBridge, 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

Let's unleash your full potential at Persistent - persistent.com/careers

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