Java Architect with AI Integration

Momento USA LLC

Boston, MA, United States

about 1 month ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

4 years minimum

Compensation

$120,000.0 - $202,500.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Application Integration Architecture Microsoft Azure Cloud Computing Distributed Systems Python (Programming Language) Machine Learning Natural Language Processing Recommender Systems

+14 more

Software Engineering Systems Integration Enterprise Software Applications Large Language Models Spring-boot Backend Event Driven Architecture Containerization Kubernetes Machine Learning Operations Software Coding Restful APIs Docker Microservices

Job description

Job Summary: We are looking for an experienced Java Architect with strong exposure to AI/ML integration to design and lead the development of scalable, enterprise-grade applications infused with intelligent automation capabilities., * Architect and design robust, scalable Java-based enterprise applications

Integrate AI/ML models and services (LLMs, NLP, recommendation engines) into existing Java platforms
Define technical architecture, coding standards, and best practices across teams
Collaborate with data science/ML teams to operationalize AI models into production systems
Evaluate and integrate AI frameworks/APIs (OpenAI, LangChain, AWS Bedrock, etc.) into Java microservices
Ensure system performance, scalability, and security across distributed architectures
Mentor development teams and drive technical decision-making

Requirements

Strong expertise in Java, Spring Boot, Microservices
Experience integrating AI/LLM APIs (OpenAI, Azure OpenAI, LangChain4j, etc.)
Solid understanding of REST APIs, event-driven architecture, and cloud platforms (AWS/Azure/GCP)
Experience with containerization (Docker, Kubernetes)
Familiarity with ML model deployment concepts (even if not building models directly)
Strong system design and architecture skills
Excellent communication and client-facing skills

Nice to Have:

Experience with vector databases (Pinecone, Weaviate)
Exposure to Python for AI service integration
Prior consulting/C2C engagement experience, Job Requirements 4+ years of professional software engineering experience developing enterprise-grade applications. Proficiency in Java and Python for building scalable backend…