AI Solution Development Engineer (Mechanical Engineering)

Syracuse, NY, US • Posted 9 hours ago • Updated 9 hours ago
Full Time
On-site
$100,000 - $120,000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI frameworks
  • LangGraph
  • AWS
  • Azure
  • Mechanical Engineering
  • Artificial Intelligence
  • Kubernetes
  • Regulatory Compliance
  • Use Cases
  • Orchestration
  • Docker
  • LLMOps
  • MCP integration
  • Continuous Integration
  • Continuous Delivery

Summary

Job Title: AI Solution Development Engineer (Mechanical Engineering) onsite in Syracuse, NY - Full-time

Salary: $120K per year

Job Description: 535926/BR

  • AI Solution Development & Deployment:
  • Design, develop, and deploy AI-driven solutions for engineering applications using frameworks such as LangGraph or similar.
  • Integrate AI capabilities into internal engineering tools to enhance productivity and automation.
  • Cloud AI Services Integration:
  • Deploy and manage AI solutions on AWS, ensuring scalability, security, and cost optimization.
  • Implement containerization, orchestration, and serverless architectures for AI workloads.
  • LLMOps & Testing:
  • Apply LLMOps best practices for lifecycle management of large language models, including CI/CD pipelines, monitoring, and governance.
  • Develop and execute testing strategies for AI applications to ensure reliability, accuracy, and compliance.
  • Agentic Workflows & MCP:
  • Collaborate with engineering teams to design MCP-based integrations for internal tools.
  • Enable agent-driven workflows that streamline engineering processes across software, hardware, and mechanical domains.
  • Technology Evaluation & Innovation:
  • Assess and recommend commercial AI tools for engineering use cases.
  • Stay informed about the latest AI trends, frameworks, and technologies to guide strategic adoption.
  • Collaboration & Documentation:
  • Work closely with multidisciplinary teams in a global environment.
  • Produce clear technical documentation and contribute to knowledge-sharing initiatives.

Skills:

  • AI frameworks (LangGraph or similar)
  • Multi-cloud deployment (AWS, Google Cloud Platform, Azure)
  • Containerization & orchestration (Docker, Kubernetes)
  • LLMOps best practices
  • MCP integrations for agent-driven workflows
  • Strong documentation and collaboration skills
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10217521
  • Position Id: 535926/BRY
  • Posted 9 hours ago
Contact the job poster
Brazil Dsouza

Brazil Dsouza

Technical Recruiter @ Ztek Consulting

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