Search Jobs | Dice.com

1 results (1 new)

Group by company

AI Solution Development Engineer (Mechanical Engineering)

Ztek Consulting

Syracuse, New York • Today

Easy Apply

Full-time

$100,000 - $120,000

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 10 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Brazil Dsouza

Technical Recruiter @ Ztek Consulting

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

AI Developer

Syracuse, New York

•

5d ago

Job Description & Skill Requirement: AI Solution Development & Deployment: o Design, develop, and deploy AI-driven solutions for engineering applications using frameworks such as LangGraph or similar. o Integrate AI capabilities into internal engineering tools to enhance productivity and automation. Cloud AI Services Integration: o Deploy and manage AI solutions on AWS, ensuring scalability, security, and cost optimization. o Implement containerization, orchestration, and serverless architectu

Easy Apply

Full-time

90,000 - 100,000

Associate AI Solutions Engineer

Remote or New Hampshire

•

Today

Overview What We Do CNXN Helix Center at Connection Inc., is at the forefront of AI innovation, offering cutting-edge solutions that redefine the boundaries of artificial intelligence and data management. We are dedicated to helping our clients navigate the complexities of AI integration, ensuring they stay ahead in a rapidly evolving technological landscape. Our commitment to excellence, innovation, and strategic growth makes us an industry leader. Visit us at ;br> Who We Are Our team is mad

Full-time

USD 86,000.00 - 110,575.00 per year

Senior Platform DevOps Engineer - TS/SCI w/ Poly

Maryland

•

Today

In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible. Job Description: Parsons is hiring, are you an experienced DevOps/platform engineer who

Full-time

USD 148,300.00 - 266,900.00 per year

Principal AI Engineer

Remote

•

Today

Overview We are seeking a highly experienced Principal AI Engineer to lead the architecture, design, and development of a cutting-edge agentic framework and centralized AI platform that serves as the foundation for the organization's AI initiatives. As the technical lead for the Risk Adjustment (RA) Coding Agent, you will own the end-to-end technical architecture-from clinical NLP integration and production routing to core AI platform components that enable scalable, secure, and compliant AI so

Full-time

USD 208,000.00 - 260,000.00 per year

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: