Enterprise Solution Architect

Position: Enterprise Solution Architect
Location: Holmdel, NJ (Onsite)

    Experience in the life insurance domain: underwriting, claims processing, policy administration, or actuarial tooling
    Knowledge of insurance regulatory and data-governance standards (SOX, GDPR equivalents)
    15+ years of enterprise software engineering and architecture experience    
    Proven track record as a Solution Architect or Enterprise Architect across large-scale, complex programs spanning multiple business domains and technology stacks
    Extensive experience leading digital and AI-driven transformation programs, including stakeholder management.

Generative AI & Agent Technologies (2+ Years)
    Hands-on experience architecting and building GenAI Agent solutions using LangChain, LangGraph, CrewAI, AutoGen, or MCP Protocol
    Strong knowledge of LLM APIs: Anthropic Claude, OpenAI GPT-4o, Azure OpenAI — including model selection, context management, and cost optimization
    Experience designing enterprise-grade Retrieval-Augmented Generation (RAG) pipelines, vector stores and knowledge graph integrations
    Proficiency in prompt engineering techniques: Chain-of-Thought, few-shot/zero-shot strategies, and responsible-AI guardrails
    Exposure to cloud AI platforms: AWS Bedrock

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 DB
    Strong ability to design and review polyglot architectures spanning both Java and .NET ecosystems, selecting the right stack for each capability
    Hands-on experience with API gateway and service mesh technologies: Kong, Apigee, AWS API Gateway, MuleSoft, or Istio
    Familiarity with frontend frameworks (React, Angular) and mobile patterns sufficient to define end-to-end solution architectures

Solution & Enterprise Architecture
    Deep expertise in solution architecture disciplines: capability modelling, application architecture, integration architecture, data architecture, and security architecture
    Hands-on experience defining target-state architectures, architecture roadmaps, and transition architectures aligned to business strategy
    Proficiency with architecture frameworks and methodologies: TOGAF, Zachman, or equivalent enterprise architecture frameworks
    Extensive experience with integration patterns: event-driven architecture (EDA), API-led connectivity, microservices, CQRS, and Saga patterns
    Strong understanding of cloud architecture principles across AWS, Azure, or Google Cloud Platform — including multi-cloud and hybrid strategies
    Experience governing architecture across programs: Architecture Review Boards (ARB), design authority participation, and architecture decision records (ADR)

DevOps & 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 architectures
    Working knowledge of containerization and orchestration: Docker, Kubernetes (EKS, AKS, GKE), Helm, and Istio service mesh
    Understanding of Infrastructure-as-Code: Terraform, AWS CloudFormation, or AWS CDK for cloud provisioning governance
    Familiarity with observability stacks: AWS CloudWatch, Prometheus, Grafana, ELK Stack — able to define non-functional requirements and monitoring strategies
    Appreciation of DevSecOps practices: SAST/DAST tooling, secrets management (HashiCorp Vault, AWS Secrets Manager), and shift-left security in the SDLC

Transformation Program & Stakeholder Management
Solution Architecture & SDLC Transformation