IND Sr Staff Solution Architect Engineering AWS

IND Senior Staff Software Engineer - GCC020
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

Job Description: Solution Architect, Engineering

Location: Hyderabad, India

Employment Type: Full-Time

Experience Level: 10+ Years

A seasoned hands-on architect, who brings depth in enterprise application architecture, a strong data modelling mindset and a hands-on exposure to cloud-native and AI first (agentic) paradigms. This role sits at the intersection of application modernization, data platform design and next-generation AI integration. This role also blends hands-on rapid engineering with architecture thought leadership, enabling teams through reusable patterns, best practices, and technical mentorship. The Solution Architect partners closely with Enterprise Architecture, P roduct t eams, and cloud enablement partners to engineer secure, scalable, and reliable solutions aligned to enterprise standards.

Key Responsibilities

Architect and engineer solutions

• Design end-to-end solution architectures for enterprise applications.
• Lead architectural reviews, define integration patterns and establish guardrails for development teams.
• Multi-cloud solution design trade-offs
• Architect and design end-to-end cloud-native solutions at a component level, ensuring consideration for FinOps, scalability, resiliency, security, and maintainability.
• Design, and engineer modular, microservice & event-driven solutions using modern design patterns and best practices.
• Develop reference architectures implementations to accelerate adoption of reusable patterns and solution engineering.

• Evaluate and incorporate agentic AI frameworks into product and operations workflows.
• Design RAG pipelines and agent orchestration layers that connect to enterprise data and APIs
• Define guardrails for responsible AI development - covering observability, explainability, human-in-the loop controls, and compliance.

• Design and deploy workloads on AWS (e.g., ECS/Lambda, API Gateway, RDS, DynamoDB/RDS, S3, IAM/networking).
• Design and deploy workloads on GCP (e.g., Cloud Run, GKE, Cloud Functions, API Gateway, BigQuery, IAM/networking).
• Drive containerization and orchestration using Docker and Kubernetes (EKS/GKE as applicable).
• Ensure solutions adhere to enterprise architecture standards, security controls, and operational readiness expectations.

• Partner with engineering teams to define and maintain reusable frameworks, patterns, and engineering playbooks.
• Conduct POCs to evaluate emerging cloud services and frameworks and recommend adoption paths.
• Provide technical leadership through design reviews, code reviews, and mentoring engineers across teams.

• 10+ years of experience building and shipping enterprise software solutions.
• Strong hands-on expertise in solution engineering (API/microservices design, performance, concurrency, secure coding).
• Demonstrated hands-on delivery experience with AWS and GCP cloud-native services.
• Hands on exposure of AI orchestration frameworks like LangChain/LangGraph.
• Hands on exposure of GCP Vertex AI. Experience integrating AI capabilities into applications (e.g., Vertex AI, GenAI services).
• Demonstrated experience designing data platforms including data warehouses, data lakes and streaming architectures (Kafka, Kinesis or equivalent)

• Opportunity to work on modern cloud-native architecture and engineering at enterprise scale.
• Collaborative and innovative work environment with strong architecture partnership.
• Competitive compensation and comprehensive benefits.
• Continuous learning and professional development opportunities.