AI Solutions Engineer: Cloud, LLMOps & Automation

Katalyst-Healthcares-; City of Syracuse (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Katalyst-Healthcares- seeks an AI Solution Development Engineer to design, develop, and deploy AI-driven solutions for engineering applications. You will integrate AI into internal tools to boost productivity across software, hardware, and mechanical domains.

The role requires expertise with LangGraph, cloud AI services, AWS deployment, Docker and Kubernetes, LLMOps, and multi-cloud strategies. You will collaborate with multidisciplinary teams to deliver scalable, secure AI workflows and

Qualifications

• Experience designing, developing, and deploying AI-driven applications.
• Experience with LangGraph or similar AI frameworks.
• Experience deploying AI solutions on AWS or other cloud platforms.
• Knowledge of Docker, Kubernetes, and serverless architectures.
• Experience with LLMOps, CI/CD pipelines, monitoring, and AI application testing.
• Familiarity with MCP integrations and agentic AI workflows.
• Strong technical documentation and cross-functional collaboration skills.

Responsibilities

• Design, develop, and deploy AI-driven solutions for engineering applications.
• Integrate AI capabilities into internal engineering tools to improve productivity.
• Develop scalable and reliable AI solutions for engineering workflows.
• Deploy and manage AI solutions on AWS, ensuring scalability and security.
• Implement containerization, orchestration, and serverless architectures for AI workloads.
• Support multi-cloud deployments across AWS, GCP, and Azure.
• Apply LLMOps best practices for large language model lifecycle management.
• Develop and maintain CI/CD pipelines, monitoring systems, and governance processes.
• Design testing strategies to ensure AI application reliability and compliance.
• Collaborate on MCP-based integrations for internal tools.
• Develop agent-driven workflows to streamline engineering processes.
• Enable AI-powered automation across software, hardware, and mechanical domains.
• Evaluate and recommend commercial AI tools for engineering use cases.
• Stay updated on emerging AI frameworks and industry trends.
• Support strategic AI technology adoption and continuous innovation.

Skills

AI solution design

Cross-functional collaboration

Technical documentation

Strategic AI adoption

Cloud computing understanding

Education

Bachelor's degree in Computer Science or related field

Tools

LangGraph

Docker

Kubernetes

AWS

GCP

Azure

LLMOps

CI/CD

Serverless

MCP integrations

Job description

Katalyst-Healthcares- seeks an AI Solution Development Engineer to design, develop, and deploy AI-driven solutions for engineering applications. You will integrate AI into internal tools to boost productivity across software, hardware, and mechanical domains.

The role requires expertise with LangGraph, cloud AI services, AWS deployment, Docker and Kubernetes, LLMOps, and multi-cloud strategies. You will collaborate with multidisciplinary teams to deliver scalable, secure AI workflows and