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Enterprise Solution Architect

Whiz Global LLCUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationUnited States
Stakeholder ManagementMicroservicesAWSGoogle CloudGraphQLJavaPythonGenerative AIRESTAzureRAG

Job description

Job Title: Enterprise Solution Architect – AI/GenAI & API Integration

Job Type: Contract
Remote
Experience: 12+ Years (Preferred)

Job Summary

We are looking for an experienced Enterprise Solution Architect with strong expertise in GraphQL, AI/Generative AI, Java, and Python. The ideal candidate will be responsible for designing and driving enterprise-level architecture solutions, leading API design and integration initiatives, and incorporating AI/GenAI capabilities into scalable enterprise applications.

The candidate should have a strong understanding of enterprise architecture, solution design, modern application development, and integration patterns.

Key Responsibilities

  • Define and drive enterprise architecture and end-to-end solution design for complex business applications.

  • Design and implement scalable, secure, and high-performance APIs using GraphQL and REST.

  • Architect AI/Generative AI-based solutions and integrate AI capabilities into enterprise applications.

  • Provide technical leadership across Java and Python-based application development.

  • Design API integration strategies and ensure seamless communication across enterprise systems.

  • Collaborate with engineering, product, and business teams to translate business requirements into technical architecture.

  • Establish architecture standards, design patterns, and best practices.

  • Evaluate emerging technologies and recommend solutions aligned with enterprise technology strategy.

  • Ensure solutions meet scalability, security, performance, and maintainability requirements.

Required Technical Skills

  • GraphQL: Strong experience in GraphQL architecture, schema design, API development, and integration.

  • AI / Generative AI: Experience designing or integrating AI/GenAI-powered solutions into enterprise applications.

  • Java: Strong understanding of Java-based application architecture and development.

  • Python: Experience with Python-based application development, automation, or AI/ML integrations.

  • API Design & Integration: Expertise in RESTful APIs, GraphQL APIs, microservices, and enterprise system integration.

  • Enterprise Architecture: Proven experience in enterprise architecture, solution architecture, and end-to-end technical design.

Preferred Qualifications

  • Experience with cloud-based architecture (AWS, Azure, or Google Cloud Platform).

  • Knowledge of microservices and distributed systems.

  • Exposure to LLMs, RAG, AI agents, and enterprise AI integration patterns.

  • Experience with API security, OAuth2, and authentication frameworks.

  • Excellent communication, stakeholder management, and technical leadership skills.

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