VKore Solutions

60 Vkore Solutions Jobs Hiring Near You

GenAI Architect

Chicago, IL · On-site

$65 - $85.50/hr

PRIMARY DUTIES AND ACCOUNTABILITIES • Collaborate with the pre-sales team to understand customer requirements and develop compelling AI solutions that meet their needs. • Conduct pre-sales ...

Guidewire Policy Center Architect

Warren, NJ · On-site

$65.50 - $86.25/hr

Lead the end-to-end architecture, design and implementation of Guidewire PolicyCenter solutions * Define technical standards, architecture principles, integration patterns and best practices across ...

The ideal candidate will demonstrate strong leadership capabilities and take full ownership of end-to-end delivery across complex enterprise-grade solutions. Key Responsibilities: * Lead and drive ...

* Architect and implement enterprise-wide test automation solutions using UiPath Test Suite components: * Test Manager for test planning and management * Test Robots for automated execution * Test ...

... DFT solutions for complex ASIC and SoC designs. This role requires deep technical ownership across DFT architecture, scan insertion, ATPG, MBIST/LBIST, JTAG, boundary scan, and post-silicon ...

New

San Ramon, CA FACE TO FACE INTERVIEW Datadog - Key Responsibilities Design, implement, and manage observability solutions using Datadog (Logs, Metrics, APM, RUM, Synthetics, etc.) Develop real-time ...

You will optimize model performance, manage training pipelines, and integrate AI solutions into production. Key Responsibilities: * Train and fine-tune LLMs using PyTorch, DeepSpeed, and LoRA.

All Visas Work for this role and No BGV Required Minium 4 years Role: Mechanical Designer Location: Wixom, MI ( Onsite) Additional Details: We are looking for another mid to senior level Mechanical ...

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Infographic showing various job openings at Vkore Solutions in the United States as of June 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% Physical job distribution.

AI/ML Java Solutions Architect

Vkore Solutions

New York, NY • On-site

Contractor

Posted 13 days ago


Job description

Role- Solution Architect in the space of Microservice and AI, ML with strong experience in LLM, Agentic AI                                           

About the Role:

We are seeking a highly skilled Solution Architect with a strong foundation in Java/Spring Boot and microservices architecture, who can also bridge the gap between traditional backend systems and modern AI/ML platforms. The ideal candidate will have experience or a strong interest in LLM-based frameworks (e.g., LangChain, Agentic AI), and be capable of designing scalable, intelligent solutions that integrate with major AI platforms.

Key Responsibilities:

  • Architect and design scalable, secure, and high-performance microservices using Java and Spring Boot.
  • Collaborate with AI/ML teams to integrate LLM-based tools and frameworks into enterprise applications.
  • Understand and work with MCP (Model Control Plane), A2A (Agent-to-Agent) communication, and LLM orchestration frameworks like LangChain and Agentic AI.
  • Evaluate and recommend AI platforms and tools for enterprise use cases.
  • Translate business requirements into technical solutions that leverage both traditional and AI-driven components.
  • Lead technical discussions with stakeholders, including product managers, data scientists, and platform teams.
  • Ensure architectural alignment with enterprise standards and best practices.

Required Skills & Experience:

  • 8+ years of experience in backend development with Java/Spring Boot.
  • Proven experience designing and deploying microservices architectures.
  • Familiarity with AI/ML concepts, especially LLMs, prompt engineering, and AI agents.
  • Understanding of LangChain, Agentic AI, or similar LLM orchestration frameworks.
  • Experience integrating with AI platforms (e.g., OpenAI, Azure OpenAI, Anthropic, Hugging Face).
  • Strong understanding of API design, event-driven systems, and cloud-native architectures.
  • Excellent communication and stakeholder management skills.

Preferred Qualifications:

  • Hands-on experience with LLM-based applications or AI agent frameworks.
  • Exposure to MCP, A2A, or similar AI infrastructure concepts.
  • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
  • Knowledge of data pipelines and AI model lifecycle management.