Senior AI Solutions Engineer: Secure Cloud & AI

New Directions Technologies, Inc; Port Hueneme (CA); On-site; USD 85,000 - 114,000; Full time

Job summary

New Directions Technologies, Inc. is seeking a Senior AI Solutions Engineer to design, deploy, and optimize secure AI applications across cloud platforms, with emphasis on the Azure ecosystem.

You will own the full lifecycle from architecture to deployment and cost management, collaborating with customers and engineering teams. The role requires hands-on expertise in large language models, RAG-like approaches, API design, and rigorous security and privacy practices to meet governance

Qualifications

• Design and deploy AI-powered applications on modern AI platforms.
• Integrate AI into enterprise systems and workflows.
• Develop secure cloud infrastructure for AI workloads.
• Create APIs, data connections and access controls for AI services.
• Evaluate AI models and technologies based on requirements.

Responsibilities

• Design, develop, test, and deploy AI-powered applications using large language models.
• Integrate AI capabilities into enterprise systems and workflows.
• Provision, configure, and maintain secure cloud infrastructure for AI workloads.
• Develop and manage APIs, data connections, authentication methods, and access controls.
• Monitor performance, availability, and operating costs of AI solutions.
• Troubleshoot issues and implement improvements across the solution lifecycle.
• Collaborate with customers, developers, and cybersecurity personnel to define requirements.

Skills

AI/ML design

Cloud platforms

Azure ecosystem

API development

Security & privacy

Education

Bachelor's degree in Computer, Electrical or Electronics Engineering or Mathematics with CS concentration

Job description

New Directions Technologies, Inc. is seeking a Senior AI Solutions Engineer to design, deploy, and optimize secure AI applications across cloud platforms, with emphasis on the Azure ecosystem.

You will own the full lifecycle from architecture to deployment and cost management, collaborating with customers and engineering teams. The role requires hands-on expertise in large language models, RAG-like approaches, API design, and rigorous security and privacy practices to meet governance