Generative AI Engineer for Enterprise Cloud Delivery

Cloud Analytics Technologies, LLC; Boston (MA); On-site; USD 120,000 - 190,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking an AI Engineer with hands-on experience in Generative AI, Agentic AI, Python, and cloud-based AI solutions. You will design, develop, integrate, and deploy AI solutions for enterprise applications, ensuring performance, security, and scalability.

You will design and implement AI systems, collaborate with data engineering teams, deploy production-grade models, monitor performance, and uphold security and observability standards in an Agile environment.

Qualifications

• Hands-on experience with Generative AI and Agentic AI.
• Strong Python programming skills and production deployment know-how.
• Experience designing and deploying cloud-based AI/ML solutions.
• Experience with AI model integration, observability, and security.

Responsibilities

• Design and develop Generative AI and Agentic AI solutions using Python.
• Build AI agents and integrate AI models with enterprise applications.
• Develop and deploy cloud-based AI/ML solutions into production.
• Support the full AI development lifecycle from design to deployment and monitoring.
• Collaborate with data engineering to ensure data quality and reliability.
• Implement AI security, performance optimization, and observability standards.
• Work with cross-functional teams in an Agile environment.

Skills

Python

Generative AI

Agentic AI

Cloud-based AI

AI model integration

Data engineering

AI security

Agile

SDLC

Communication

Job description

Cloud Analytics Technologies, LLC is seeking an AI Engineer with hands-on experience in Generative AI, Agentic AI, Python, and cloud-based AI solutions. You will design, develop, integrate, and deploy AI solutions for enterprise applications, ensuring performance, security, and scalability.

You will design and implement AI systems, collaborate with data engineering teams, deploy production-grade models, monitor performance, and uphold security and observability standards in an Agile environment.