Gen AI Architect (Bangalore)

EXL; Gurugram District; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

EXL is seeking a Senior Enterprise Architect in Gurugram to define and own end‑to‑end architecture across product lines and client engagements. You will translate business goals into architectural blueprints, design AWS cloud‑native and serverless solutions, and lead architecture reviews with cross‑functional teams.

You will drive AI/ML‑enabled solutions, ensure security and compliance, and mentor engineers while delivering scalable, resilient systems.

Qualifications

• 15+ years in enterprise application/systems development with architect/principal‑engineer experience.
• Hands‑on expertise designing cloud‑native architectures on AWS including compute, serverless, networking, storage, DBs and security.
• Strong reasoning and problem‑solving; proven track record designing scalable, resilient architectures.
• Experience with microservices, event‑driven architecture, API design (REST/GraphQL), and complex system integrations.
• Ability to drive technical decisions independently across concurrent engagements.
• Solid data architecture background: relational and NoSQL, caching, search.
• Security architecture knowledge: OAuth, SAML, IAM, encryption, secrets management.
• Familiarity with DevOps/IaC (Terraform/CloudFormation) and CI/CD; Docker/Kubernetes.
• Excellent communication; able to explain complex concepts to diverse stakeholders.
• Experience designing AI/ML/agentic AI solutions at architecture level.

Responsibilities

• Define and own end‑to‑end enterprise architecture across product lines and client engagements.
• Translate business goals into architectural blueprints and reference implementations.
• Design cloud‑native and serverless AWS solutions following Well‑Architected principles.
• Lead architecture reviews and trade‑off decisions; defend builds.
• Design integration strategies for internal/3rd party systems and APIs.
• Operate autonomously across multiple engagements and drive decisions to closure.
• Provide hands‑on troubleshooting with engineering teams for production issues.
• Build POCs and reference implementations to validate approaches.
• Embed security, compliance and Well‑Architected best practices in designs.

Skills

Enterprise architecture

AWS

Microservices

API design

DevOps/IaC

Security architecture

AI/ML

Data architecture

Performance & scalability

Communication

Tools

Terraform

CloudFormation

Docker/Kubernetes

Job description

• Define and own end-to-end enterprise architecture — application, data, integration, security, and cloud layers — for one or more product lines or client engagements.
• Translate ambiguous business goals into clear architectural blueprints and reference implementations, applying strong first-principles reasoning to design pragmatic, defensible solutions.
• Design cloud-native and serverless solutions on AWS, following AWS Well-Architected principles, across compute, networking, storage, and data layers.
• Lead architecture and design reviews across teams; make, and stand behind, build-vs-buy and technology trade-off decisions independently.
• Design integration strategies for internal services, third-party systems, and partner APIs (REST, GraphQL, event-driven, messaging), and lead complex enterprise system integrations.

Drive Technical Delivery Across Multiple Engagements

• Operate with a high degree of autonomy across multiple concurrent solutions — driving architecture and technical decisions to closure without needing close oversight.
• Provide hands‑on technical troubleshooting support to engineering teams — working directly with them to resolve production issues, performance bottlenecks, and integration failures.
• Build proof‑of‑concepts and reference implementations to validate architectural approaches before broader rollout.
• Embed security, compliance, and Well‑Architected best practices into every design (IAM, encryption, secrets management, threat modeling).

Design AI-Enabled Solutions

• Architect solutions that incorporate AI/ML and agentic AI services (e.g., Amazon Bedrock, SageMaker) at the solution‑design level — evaluating where generative AI and agent‑based patterns fit within a broader enterprise architecture.
• Stay current on the AI/ML landscape and recommend where it creates real architectural or business value.

Communicate and Influence

• Communicate architecture and trade‑offs clearly to executives, clients, product managers, and engineers alike.
• Influence engineering teams toward architectural standards and best practices, earning trust through technical credibility.

Required Qualifications

• 15+ years in enterprise application/systems development, including 5+ years operating at architect or principal‑engineer level.
• Deep, hands‑on expertise designing cloud‑native architectures on AWS — compute, serverless, networking, storage, databases, and security — fluent in the AWS Well‑Architected Framework.
• Strong reasoning and problem‑solving ability — a proven track record designing scalable, resilient software systems and enterprise architectures from ambiguous requirements.
• Experience with microservices, event‑driven architecture, API design (REST/GraphQL), and complex enterprise system integrations.
• Demonstrated ability to independently drive technical decisions and troubleshoot directly with engineering teams across multiple concurrent engagements.
• Solid data architecture background — relational (PostgreSQL/MySQL), NoSQL, caching, and search.
• Working knowledge of security architecture (OAuth, SAML, SSO, IAM, encryption, secrets management, secure SDLC).
• Familiarity with DevOps/IaC practices (Terraform/CloudFormation, CI/CD, Docker/Kubernetes).
• Excellent communication skills — able to explain complex technical concepts to technical and non-technical stakeholders alike.
• Experience designing solutions that incorporate AWS AI/ML and agentic AI services (e.g., Amazon Bedrock, SageMaker) at the architecture level.