Solution Architect

Inspirisys; Chennai District; On-site; INR 4,200,000 - 7,000,000; Full time

Job summary

Inspirisys seeks an senior AI architect to design agentic AI systems for enterprise workflows, including payments, onboarding, and reconciliation, with robust governance and security. The role requires hands-on experience with LLMs, RAG, vector stores, and multi-agent ecosystems.

You will lead implementation across cloud architectures (Azure/AWS/GCP), microservices, and data platforms, coordinating with CIO/CTO-level stakeholders. Deep banking domain knowledge is essential.

Qualifications

• Proven experience designing agentic AI systems for enterprise workflows.
• Strong understanding of LLMs, RAG, and vector stores.
• Experience with banking APIs, ERP integrations, and compliance engines.
• Leadership in enterprise architecture and program-level delivery.

Responsibilities

• Design agentic systems for enterprise workflows (payments, onboarding, reconciliation, procurement).
• Lead tools-using agent implementations with banking/ERP integrations.
• Develop multi-agent ecosystems with validation, compliance, payment, and exception agents.
• Ensure safety, governance, and RBI AI governance compliance.
• Lead RAG pipelines, embeddings, vector stores, and retrieval optimizations.
• Evaluate and integrate LLMs based on cost, latency, and accuracy.
• Drive model evaluation, prompting, fine-tuning, and performance optimization.
• Implement observability: drift detection and feedback loops.
• Architect and oversee enterprise-grade AI/LLM solutions and security.

Skills

AI/LLM systems

RAG pipelines

Vector DBs

Agentic frameworks

Cloud architecture

Microservices

API gateways

Kafka/Event streams

Databases

DevOps

Kubernetes

Security

Java/Spring Boot

Core Banking

Data Architecture

Tools

Terraform

Bicep

Job description

ROLES & RESPONSIBILITIES:

Agentic AI :

• Capable of Designing agentic systems for enterprise workflows (e.g., vendor payments, onboarding, reconciliation, procurement).
• Should have Implemented tools-using agents with Banking, ERP APIs, payment gateways, document systems, and compliance engines.
• Knowledge about Building multi-agent ecosystems (validation agent, compliance agent, payment agent, exception agent).
• Follow safety, guardrails, auditability, and policy enforcement and RBI AI Governance.

• Lead implementation of RAG pipelines, embeddings, vector stores, and retrieval optimizations.
• Evaluate and integrate LLMs (OpenAI, Azure OpenAI, Llama, Claude , Mistral) based on cost, latency, and accuracy.
• Drive model evaluation, prompt engineering, fine-tuning, and performance optimization.
• Implement observability: drift detection, hallucination control, feedback loops

Core Technical Skills

• Strong expertise in AI/LLM systems, RAG, vector DBs
• Experience with agentic frameworks (AutoGen, LangGraph, CrewAI, Semantic Kernel).
• Cloud architecture (Azure/AWS/GCP) compute, networking, security, serverless.
• Microservices, API gateways, Kafka/EventBridge/PubSub.
• Databases: SQL, NoSQL, graph, vector.
• DevOps: CI/CD, containers, Kubernetes, IaC (Terraform/Bicep).
• Security: OAuth2, JWT, SSO, Zero Trust, data governance.
• Models – MCP , Dimension Modelling etc.,

Architectural Skills

• Enterprise architecture frameworks (TOGAF, Zachman).
• Domain-driven design (DDD), event-driven architecture (EDA).
• High availability, scalability, resilience, disaster recovery.
• Cost modeling and performance engineering
• Leadership skills:
• Must be a Teacher and not a tool evaluator
• Must be an evangelist within the Company and Orator/Presenter outside the Company
• Must present Technical Notes through PPT or Videos and create a Learning Library for Company

The person who is suitable for this Position should have minimum of 10-15 years are above

• Hands on in designing, coding, reviewing, structuring Java based applications in monolith and micro services with any frontend (preferably Angular), Java 8-21 with Spring Boot, RDBS & NoSQL, Design Patterns, Load Balancers, Cloud and On-prem solution architecture, CERT-IN and other security standards and its implementation in the application, application performance, banking application integrations, guide the team leads and developers will be an added advantage
• Deep level experience in Design, development and implementing various Banking solutions including Core Banking Application.
• The person should have good understanding of functionality of various Banking Applications like Core Corporate and Retain Core Banking and other banking solution functionalities like NPA, AML, ALM, WMS, and Fraud Detection etc.
• Should know top solutions & tools available in the market for various Banking modules mentioned above
• Should be knowledgeable of Data Architecture, Solution Architecture and important solution components of various Banking Modules
• Should be well versed in trends and future developments, Problems in in the Banking industry.
• Must have good knowledge of Data source structures needed for (Data Analytics (KPIs)
• Good knowledge of security needs of various Banking Solution Areas
• Must have good communication skills and engage with CIO and CTO level executives of the Banks