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AI Solution Architect

TechDigital

  • Holmdel, NJ
  • 18 days ago

    Highlights

    Solution & Enterprise Architecture Deep expertise in solution architecture disciplines: capability modelling, application architecture, integration architecture, data architecture, and security architecture. 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.

    Numbers & Facts

    LocationHolmdel, NJ
    IndustryOther/Not Classified
    Company Size100 to 499 employees

    Description

    Job Description
    • 15+ 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 discipline
    • 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
    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 GCP — including multi-cloud and hybrid strategies
    • Experience 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 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
    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
    Domain Experience
    • 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)

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