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.