Artificial Intelligence Engineer

Job Description

AI Solution Development Engineer

Syracuse, NY – Onsite

(USC or GC only)

Full TimeJob Description & Skill Requirement:

AI Solution Development & Deployment:

Design, develop, and deploy AI-driven solutions for engineering applications using frameworks such as Lang Graph or similar.

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