Senior AI Solutions Engineer (Cloud Engineer 3)

HII's Mission Technologies division • Port Hueneme, CA

2d • $110,190 - $150,000 • Onsite

About The Position

This opportunity resides with Global Security (GS). Mission Technologies’ Global Security (GS) group comprises live, virtual, constructive (LVC) solutions; fleet sustainment; nuclear and environmental; and Australia business. As a trusted partner to our military customers, HII designs, develops and operates the largest LVC enterprise that prepares warfighters for cross-domain battle. With advanced technologies to enable mission readiness, HII understands that preparation requires full coordination—not readiness in piece-parts. For more than 40 years, the U.S. Navy has entrusted HII to maintain and modernize the vast majority of its fleet. With a holistic approach to life-cycle maritime defense systems—from small watercraft to submarines, surface combatants and aircraft carriers—HII ensures a high state of readiness. HII supports the Department of Energy’s national security mission through the management and operation of its sites, as well as the safe cleanup of legacy waste across the country. HII meets clients’ toughest nuclear and environmental challenges.
Leadership Mindset at HII – Mission Technologies
Leadership at HII is a mindset, not a title. Through our Leadership Capability Framework, we define how every employee grows, leads, and contributes—regardless of role. It sets the standard for how you can develop yourself and what you can expect from leaders across our organization. We look for candidates who want to grow in alignment with these capabilities:
Know & Grow Your People – Commit to learning and supporting team success.
Build Relationships – Communicate openly, collaborate well, and build trust.
Take Ownership – Deliver on commitments and take pride in your work.
Customer First – Focus on the mission and those we serve.
Shape the Future – Bring ideas, curiosity, and continuous improvement.
Act with Urgency – Take initiative and follow through with purpose.
These capabilities guide how all employees contribute to our shared success across Mission Technologies.
Job Description
Seeking an experienced Senior AI Solutions Engineer to design, develop, integrate, deploy, secure, and optimize Artificial Intelligence (AI) solutions within an enterprise Information Technology environment. The successful candidate will work across the full AI solution lifecycle, transforming customer and mission requirements into secure, scalable, reliable, and maintainable AI-enabled capabilities. This position will work closely with customers, software developers, cloud and infrastructure engineers, cybersecurity personnel, data professionals, and other technical stakeholders.

Requirements

• Must be a US Citizen with the ability to obtain and maintain a security clearance for the duration of employment.
• Be able to obtain and maintain a Top Secret (TS) clearance if required by the customer or assigned duties.
• Possess and maintain a current CompTIA Security+ certification.
• Possess a Bachelor's degree in Computer Engineering, Electrical Engineering, Electronics Engineering, or Mathematics with a concentration in Computer Science.
• Possess a minimum of three (3) years of professional experience in computer design, software development, computer networks, or directly related technical work.

Nice To Haves

• Large Language Models (LLMs) and Generative AI
• Microsoft Azure AI services
• Azure OpenAI Service
• Azure AI Foundry and related AI development services
• OpenAI or comparable commercial/open-source model platforms
• Retrieval-Augmented Generation (RAG)
• Prompt engineering and context engineering
• AI agents and agentic workflows
• Vector databases, embeddings, semantic search, and enterprise search
• Python, C#, JavaScript/TypeScript, or comparable programming languages
• REST APIs, web services, and application integration
• Microsoft Azure or comparable cloud platforms such as AWS or Google Cloud
• Cloud infrastructure and Infrastructure as Code (IaC)
• Azure Functions, App Service, containers, Kubernetes, or comparable application-hosting technologies
• SQL, NoSQL, and other enterprise data technologies
• Data ingestion, transformation, indexing, and retrieval
• Identity and access management, including Microsoft Entra ID or comparable technologies
• Git, GitHub, or comparable source-control platforms
• CI/CD pipelines and DevSecOps practices
• Application and cloud security
• AI security and data-protection practices
• Model evaluation, testing, monitoring, and observability
• AI governance and Responsible AI practices
• Performance and cloud-cost optimization
• Development and deployment of enterprise AI applications
• Possess a Bachelor's degree in Computer Engineering, Electrical Engineering, Electronics Engineering, or Mathematics with a concentration in Computer Science.
• Possess a minimum of three (3) years of professional experience in computer design, software development, computer networks, or directly related technical work.

Responsibilities

• Design, develop, test, deploy, maintain, and enhance AI-powered applications and enterprise solutions.
• Develop solutions utilizing large language models (LLMs), generative AI, machine learning, and other modern AI technologies.
• Work with customers and technical stakeholders to identify use cases, understand mission and business requirements, and translate those requirements into effective AI solutions.
• Integrate AI capabilities into new and existing enterprise applications, systems, data sources, and business workflows.
• Design and implement retrieval-augmented generation (RAG) solutions using enterprise data and knowledge sources.
• Develop and refine prompts, system instructions, context-management strategies, and other techniques designed to improve AI solution accuracy, reliability, and usefulness.
• Develop, consume, and manage APIs and services supporting communication between AI models, applications, databases, and enterprise systems.
• Design and implement data ingestion, transformation, indexing, search, retrieval, and processing capabilities supporting AI solutions.
• Provision, configure, maintain, and troubleshoot cloud infrastructure supporting AI applications and workloads.
• Implement identity, authentication, authorization, role-based access controls, and other security mechanisms protecting AI systems and information.
• Collaborate with cybersecurity personnel to identify vulnerabilities, implement appropriate security controls, and support applicable cybersecurity requirements.
• Implement safeguards designed to protect sensitive information and reduce the risk of unauthorized access, disclosure, or inappropriate use of data.
• Support Responsible AI practices, including appropriate consideration of accuracy, transparency, privacy, security, reliability, and human oversight.
• Evaluate AI models, platforms, frameworks, tools, and architectural approaches based on technical requirements, mission needs, security considerations, performance, and cost.
• Evaluate and test AI-generated results for accuracy, relevance, consistency, and reliability.
• Develop methods for measuring and improving AI solution performance and effectiveness.
• Monitor application and model performance, availability, reliability, usage, resource consumption, and operating costs.
• Optimize model selection, API consumption, token utilization, compute resources, storage, and other cloud services to improve performance and control costs.
• Troubleshoot application, model, integration, infrastructure, data, and performance issues throughout the AI solution lifecycle.
• Participate in source control, code review, testing, configuration management, CI/CD, and DevSecOps processes.
• Develop and maintain technical documentation, including solution architecture, data flows, interfaces, configurations, security controls, deployment procedures, operating procedures, and troubleshooting information.
• Support proofs of concept and prototypes and assist in transitioning successful solutions into secure, supportable production capabilities.
• Remain current on emerging AI technologies, large language models, cloud services, cybersecurity risks, Responsible AI practices, and industry developments.
• Communicate complex AI and technical concepts effectively to both technical and non-technical stakeholders.

Benefits

• best-in-class medical, dental and vision plan choices
• wellness resources
• employee assistance programs
• Savings Plan Options (401(k))
• financial planning tools
• life insurance
• employee discounts
• paid holidays and paid time off
• tuition reimbursement
• early childhood and post-secondary education scholarships

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level