Enterprise Architect Banking Domain

Pre-Sales, Client Consulting & Solution Engineering

• Act as a trusted advisor for clients during solution discovery and transformation discussions.

• Collaborate with sales, delivery, and business teams to build winning technology solutions.

• Lead client workshops, architecture discussions, and executive presentations.

• Build and present enterprise solution proposals aligned to client business and technical requirements.

• Develop Proof of Concepts (POCs), prototypes, and reference implementations to validate architecture approaches and demonstrate technical feasibility.

• Support RFP/RFI/RFQ responses by:

• Defining technical solutions

• Preparing architecture proposals

• Building solution narratives and technical differentiators

• Identifying risks and mitigation strategies

• Perform high-level and detailed effort estimations for engineering, migration, modernization, AI, and cloud transformation initiatives.

• Contribute to capability development, solution accelerators, reusable frameworks, and architecture assets.

Enterprise & Solution Architecture

• Define enterprise architecture strategy aligned with banking business capabilities and digital transformation goals.

• Design scalable, secure, resilient, and high-performing enterprise platforms.

• Lead architecture governance, technology standards, and architecture review boards.

• Create and maintain:

• C1, C2, C3, and C4 architecture models

• High-Level Design (HLD)

• Low-Level Design (LLD)

• Architecture decision records and solution blueprints

• Build architecture artifacts using Lucidchart and PowerPoint.

Banking Transformation & Modernization

• Lead greenfield application development initiatives.

• Drive modernization of legacy banking applications into cloud-native and microservices-based architectures.

• Design highly available and fault-tolerant:

• Multi-AZ architectures

• Multi-region active-active / active-passive systems

• Ensure architecture compliance with banking security, audit, resiliency, and regulatory standards.

Agentic AI & Intelligent Platforms

• Architect enterprise-grade Agentic AI solutions leveraging:

• AWS Bedrock

• LLMs including Anthropic and OpenAI models

• Agent SDKs

• LangChain

• LangGraph

• LangSmith

• Retrieval-Augmented Generation (RAG)

• Vector databases such as Neo4j and TigerGraph

• A2A and MCP-based integrations

• Define AI orchestration, observability, governance, and secure AI deployment patterns.

Cloud & Platform Engineering

• Design and implement cloud-native architectures on AWS.

• Lead Infrastructure as Code (IaC) initiatives using Terraform.

• Architect containerized platforms using:

• Docker

• Kubernetes

• PCF (Pivotal Cloud Foundry)

• Define DevSecOps and platform engineering best practices.

Application Engineering

• Guide engineering teams across enterprise technology stacks including:

• Java, Spring Boot

• Python

• PySpark / JavaSpark

• ReactJS

• APIGEE

• Drive API-first, event-driven, and microservices-based architecture patterns.

Data & Event Streaming Architecture

• Design enterprise data platforms and distributed data architectures using:

• Oracle

• PostgreSQL

• Cassandra

• CockroachDB

• DynamoDB

• Build scalable event streaming architectures using:

• Kafka

• Apache Flink

SRE, Observability & Reliability

• Define enterprise observability and reliability engineering practices.

• Implement monitoring, logging, tracing, and operational intelligence using:

• Splunk

• Dynatrace

• Grafana

• AWS CloudWatch

• Lead resiliency engineering and operational excellence initiatives.

Engineering Quality & Testing

• Establish enterprise testing strategies covering:

• Unit testing

• Component testing

• Contract testing

• Functional testing

• Performance testing

• Chaos engineering

• Resilience testing

Agentic SDLC & Developer Productivity

• Drive AI-assisted SDLC transformation initiatives using:

• GitHub Copilot

• Claude Code

• Spec Driven Development BMAD, Spec Kit

• Enable architecture automation, developer productivity, and intelligent engineering workflows.

15+ years in enterprise architecture, solution architecture, digital transformation, and large-scale banking programs., We are seeking a highly experienced Enterprise Architect with deep expertise in Banking, cloud-native architecture, enterprise modernization, and Agentic AI platforms. The ideal candidate will lead architecture strategy and execution for large-scale banking systems, including greenfield platform engineering, modernization of legacy applications, resilient multi-region architectures, and AI-enabled enterprise solutions.

The role also requires strong client-facing and pre-sales capabilities, including solution consulting, architecture presentations, proposal creation, proof-of-concept (POC) execution, and effort estimation for large transformation programs.

This role requires strong technical depth across cloud, distributed systems, event-driven platforms, AI/LLM ecosystems, data engineering, enterprise SDLC, and solution consulting., Domain Expertise

• Strong experience in Banking and Financial Services.
• Good analytics and data-driven decision-making capabilities.
• Experience with enterprise-scale transactional and regulatory systems.

Architecture & Design

• Expertise in:

• Enterprise Architecture

• Solution Architecture

• Distributed Systems

• Event-Driven Architecture

• Domain-Driven Design (DDD)

• Microservices

• API-led integrations

• Resiliency engineering

Technical Skills

AI & Agentic Platforms

• AWS Bedrock
• OpenAI / Anthropic LLMs
• LangChain, LangGraph, LangSmith
• RAG architectures
• Vector DBs: Neo4j, TigerGraph
• A2A, MCP

Cloud & DevOps

• AWS
• Terraform
• Docker
• Kubernetes
• PCF

Programming

• Java
• Spring Boot
• Python
• PySpark / JavaSpark
• ReactJS

Databases

• Oracle
• PostgreSQL
• Cassandra
• CockroachDB
• DynamoDB

Streaming & Real-Time Platforms

• Kafka
• Apache Flink

Observability & SRE

• Splunk
• Dynatrace
• Grafana
• AWS CloudWatch

Testing & Reliability

• Functional and non-functional testing
• Chaos engineering
• Resilience validation, * Experience leading enterprise transformation programs for Tier-1 banks.
• Experience in client-facing consulting and pre-sales solutioning roles.
• AWS or Kubernetes certifications preferred.
• Experience with AI governance and enterprise AI security frameworks.
• Strong stakeholder management and executive communication skills.

Education

• Bachelor s or Master s degree in Computer Science, Engineering, or related field.

Success Criteria

• Architect scalable and resilient banking platforms.
• Accelerate modernization and cloud transformation initiatives.
• Enable enterprise adoption of Agentic AI capabilities.
• Improve system resiliency, observability, and engineering productivity.
• Drive technology standardization and architecture governance across the organization.
• Contribute to business growth through effective solution consulting, client engagement, POCs, and successful RFP responses.