AI Solution Architect

Job TitleJob Description15+ years of enterprise software engineering and architecture experience with a bachelor's or master's degree in computer science, Software Engineering, or a related technical disciplineProven track record as a Solution Architect or Enterprise Architect across large-scale, complex programs spanning multiple business domains and technology stacksExtensive experience leading digital and AI-driven transformation programs, including stakeholder managementGenerative AI & Agent Technologies (2+ Years)Hands-on experience architecting and building GenAI Agent solutions using LangChain, LangGraph, CrewAI, AutoGen, or MCP ProtocolStrong knowledge of LLM APIs: Anthropic Claude, OpenAI GPT-4o, Azure OpenAI — including model selection, context management, and cost optimizationExperience designing enterprise-grade Retrieval-Augmented Generation (RAG) pipelines, vector stores and knowledge graph integrationsProficiency in prompt engineering techniques: Chain-of-Thought, few-shot/zero-shot strategies, and responsible-AI guardrailsExposure to cloud AI platforms: AWS BedrockSolution & Enterprise ArchitectureDeep expertise in solution architecture disciplines: capability modelling, application architecture, integration architecture, data architecture, and security architectureHands-on experience defining target-state architectures, architecture roadmaps, and transition architectures aligned to business strategyProficiency with architecture frameworks and methodologies: TOGAF, Zachman, or equivalent enterprise architecture frameworksExtensive experience with integration patterns: event-driven architecture (EDA), API-led connectivity, microservices, CQRS, and Saga patternsStrong understanding of cloud architecture principles across AWS, Azure, or GCP — including multi-cloud and hybrid strategiesExperience governing architecture across programs: Architecture Review Boards (ARB), design authority participation, and architecture decision records (ADR)Technology Stack (Hands-On Proficiency)Java / J2EE: Java 11–21, Spring Boot, Spring Framework, Jakarta EE, microservices with REST/gRPC, Apache Kafka, JPA/Hibernate, PostgreSQL, Oracle.NET: C# (.NET 6/7/8), ASP.NET Core Web API, Entity Framework Core, Azure Service Bus, Dapper, SQL Server, and Cosmos DBStrong ability to design and review polyglot architectures spanning both Java and.NET ecosystems, selecting the right stack for each capabilityHands-on experience with API gateway and service mesh technologies: Kong, Apigee, AWS API Gateway, MuleSoft, or IstioFamiliarity with frontend frameworks (React, Angular) and mobile patterns sufficient to define end-to-end solution architecturesDevOps & Platform Engineering (Exposure & Understanding)Good understanding of CI/CD pipeline design using Jenkins, GitHub Actions, GitLab CI, or Azure DevOps — able to define standards and review pipeline architecturesWorking knowledge of containerization and orchestration: Docker, Kubernetes (EKS, AKS, GKE), Helm, and Istio service meshUnderstanding of Infrastructure-as-Code: Terraform, AWS CloudFormation, or AWS CDK for cloud provisioning governanceFamiliarity with observability stacks: AWS CloudWatch, Prometheus, Grafana, ELK Stack — able to define non-functional requirements and monitoring strategiesAppreciation of DevSecOps practices: SAST/DAST tooling, secrets management (HashiCorp Vault, AWS Secrets Manager), and shift-left security in the SDLCTransformation Program & Stakeholder Management Solution Architecture & SDLC Transformation Domain ExperienceExperience in the life insurance domain: underwriting, claims processing, policy administration, or actuarial toolingKnowledge of insurance regulatory and data-governance standards (SOX, GDPR equivalents)