Gen AI Architect (Bangalore)

Own End-to-End Architecture
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.

Work arrangement
No