Position Overview  We are seeking a highly skilled and compliance-minded AI Specialist to design, build, and deploy artificial intelligence and machine learning solutions that drive automation, operational efficiency, and intelligent decision-making across the organization. This role sits at the intersection of AI engineering, cloud infrastructure, and data security — requiring someone who can build powerful AI systems while operating within strict compliance frameworks including HIPAA and SOC 2.    The ideal candidate is a strong programmer with hands-on AI/ML development experience, deep familiarity with AWS cloud services, and a genuine understanding of what it means to build and deploy AI in regulated, security-sensitive environments. This is not a theoretical role — you will be building, integrating, and shipping.    Key Responsibilities  AI & Machine Learning Development  - Design, develop, and deploy AI and machine learning models to solve real business problems and automate workflows  - Build and maintain end-to-end ML pipelines from data ingestion and preprocessing through model training, evaluation, and production deployment  - Develop natural language processing (NLP), large language model (LLM) integrations, and generative AI solutions as applicable  - Fine-tune and optimize pre-trained models (including GPT, Claude, or open-source alternatives) for specific use cases  - Evaluate model performance, monitor for drift, and implement improvements based on real-world feedback  - Research and apply emerging AI techniques, frameworks, and tools to continuously improve solution quality    AI Integration & Automation  - Integrate AI models and APIs into existing applications, platforms, and workflows  - Build intelligent automation solutions that reduce manual effort and improve operational throughput  - Develop AI-powered features including chatbots, recommendation engines, document processing, and predictive analytics  - Design and implement RAG (Retrieval-Augmented Generation) architectures for knowledge-based AI applications  - Collaborate with product and operations teams to identify high-value AI use cases and deliver solutions    Programming & Software Engineering  - Write clean, well-documented, production-quality code primarily in Python, with additional languages as needed (JavaScript, SQL, Bash, etc.)  - Build APIs, microservices, and data pipelines that support AI workloads at scale  - Apply software engineering best practices including version control (Git), code review, testing, and CI/CD  - Maintain and refactor existing codebases for performance, reliability, and maintainability  - Document technical architectures, implementation decisions, and system behaviors clearly    AWS Cloud Infrastructure  - Architect, deploy, and manage AI and data workloads on AWS cloud infrastructure  - Utilize AWS services including SageMaker, Lambda, EC2, S3, RDS, Bedrock, Step Functions, and API Gateway  - Build scalable, cost-efficient cloud architectures that support model training, inference, and data processing  - Implement infrastructure-as-code using AWS CloudFormation, CDK, or Terraform  - Monitor cloud resource utilization and optimize for performance and cost  - Ensure all AWS environments are configured in alignment with security and compliance requirements    HIPAA Compliance  - Design and develop all AI systems and data pipelines in full compliance with HIPAA Privacy and Security Rules  - Ensure Protected Health Information (PHI) is handled, stored, transmitted, and processed with appropriate safeguards  - Implement technical controls including encryption at rest and in transit, access controls, and audit logging for all PHI-adjacent systems  - Participate in HIPAA risk assessments and support remediation of identified vulnerabilities  - Maintain documentation required for HIPAA compliance including data flow diagrams, system inventories, and access logs  - Stay current on HIPAA regulatory developments and ensure AI systems remain compliant as regulations evolve    SOC 2 Compliance  - Build and maintain AI systems and cloud infrastructure in accordance with SOC 2 Trust Service Criteria (Security, Availability, Confidentiality, Processing Integrity, and Privacy)  - Implement and maintain security controls required for SOC 2 Type I and Type II certification  - Support audit preparation by maintaining evidence, access logs, and system documentation  - Participate in vulnerability management, penetration testing, and incident response processes  - Collaborate with security and compliance teams to ensure all AI deployments meet SOC 2 standards  - Monitor systems continuously for security events and compliance gaps    Data Management & Security  - Design secure data architectures that protect sensitive information throughout the AI pipeline  - Implement role-based access controls, data masking, and anonymization techniques where appropriate  - Ensure data governance practices are followed for all datasets used in model training and inference  - Maintain data lineage documentation and audit trails for compliance and reproducibility    Collaboration & Documentation  - Work closely with engineering, product, operations, and compliance teams to align AI solutions with business needs and regulatory requirements  - Communicate complex technical concepts clearly to non-technical stakeholders  - Produce thorough technical documentation for all systems, models, and integrations  - Mentor junior team members on AI development practices and compliance standards    Required Qualifications  - 3 or more years of hands-on experience in AI, machine learning, or data science engineering roles  - Strong programming skills in Python — this is the primary development language for this role  - Demonstrated experience building and deploying ML models or AI-powered applications in production environments  - Proficiency with AWS cloud services — particularly those relevant to AI/ML workloads (SageMaker, Lambda, S3, EC2, Bedrock, or equivalent)  - Working knowledge of HIPAA requirements and experience building systems that handle PHI in compliance with applicable regulations  - Familiarity with SOC 2 compliance frameworks and the technical controls required to support certification  - Experience with LLMs, NLP, or generative AI frameworks such as LangChain, OpenAI API, Hugging Face, or similar  - Strong understanding of data security, encryption, access control, and audit logging best practices  - Excellent written and verbal communication skills, including the ability to document technical work clearly    Preferred Qualifications  - AWS certifications such as AWS Certified Machine Learning Specialty, AWS Solutions Architect, or AWS Security Specialty  - Experience with MLOps practices and tools including model versioning, monitoring, and automated retraining pipelines  - Familiarity with vector databases such as Pinecone, Weaviate, or pgvector for RAG implementations  - Experience in a HIPAA-covered entity or business associate environment  - Background in healthcare technology, health informatics, or digital health platforms  - Experience with additional programming languages such as JavaScript, TypeScript, Go, or Java  - Familiarity with containerization and orchestration tools including Docker and Kubernetes    Technical Stack  Core  - Python — primary language  - AWS — SageMaker, Lambda, S3, EC2, Bedrock, Step Functions, API Gateway, CloudFormation / CDK  - LLM frameworks — LangChain, OpenAI API, Anthropic API, Hugging Face    Data & Infrastructure  - SQL and NoSQL databases  - Vector databases for semantic search and RAG  - Git / GitHub — version control and CI/CD  - Docker / Kubernetes — containerization and orchestration    Compliance & Security  - HIPAA Privacy and Security Rule compliance  - SOC 2 Trust Service Criteria  - AWS security services — IAM, KMS, CloudTrail, GuardDuty, Security Hub

Position Overview  We are seeking a highly skilled and compliance-minded AI Specialist to design, build, and deploy artificial intelligence and machine learning solutions that drive automation, operational efficiency, and intelligent decision-making across the organization. This role sits at the intersection of AI engineering, cloud infrastructure, and data security — requiring someone who can build powerful AI systems while operating within strict compliance frameworks including HIPAA and SOC 2.    The ideal candidate is a strong programmer with hands-on AI/ML development experience, deep familiarity with AWS cloud services, and a genuine understanding of what it means to build and deploy AI in regulated, security-sensitive environments. This is not a theoretical role — you will be building, integrating, and shipping.    Key Responsibilities  AI & Machine Learning Development  - Design, develop, and deploy AI and machine learning models to solve real business problems and automate workflows  - Build and maintain end-to-end ML pipelines from data ingestion and preprocessing through model training, evaluation, and production deployment  - Develop natural language processing (NLP), large language model (LLM) integrations, and generative AI solutions as applicable  - Fine-tune and optimize pre-trained models (including GPT, Claude, or open-source alternatives) for specific use cases  - Evaluate model performance, monitor for drift, and implement improvements based on real-world feedback  - Research and apply emerging AI techniques, frameworks, and tools to continuously improve solution quality    AI Integration & Automation  - Integrate AI models and APIs into existing applications, platforms, and workflows  - Build intelligent automation solutions that reduce manual effort and improve operational throughput  - Develop AI-powered features including chatbots, recommendation engines, document processing, and predictive analytics  - Design and implement RAG (Retrieval-Augmented Generation) architectures for knowledge-based AI applications  - Collaborate with product and operations teams to identify high-value AI use cases and deliver solutions    Programming & Software Engineering  - Write clean, well-documented, production-quality code primarily in Python, with additional languages as needed (JavaScript, SQL, Bash, etc.)  - Build APIs, microservices, and data pipelines that support AI workloads at scale  - Apply software engineering best practices including version control (Git), code review, testing, and CI/CD  - Maintain and refactor existing codebases for performance, reliability, and maintainability  - Document technical architectures, implementation decisions, and system behaviors clearly    AWS Cloud Infrastructure  - Architect, deploy, and manage AI and data workloads on AWS cloud infrastructure  - Utilize AWS services including SageMaker, Lambda, EC2, S3, RDS, Bedrock, Step Functions, and API Gateway  - Build scalable, cost-efficient cloud architectures that support model training, inference, and data processing  - Implement infrastructure-as-code using AWS CloudFormation, CDK, or Terraform  - Monitor cloud resource utilization and optimize for performance and cost  - Ensure all AWS environments are configured in alignment with security and compliance requirements    HIPAA Compliance  - Design and develop all AI systems and data pipelines in full compliance with HIPAA Privacy and Security Rules  - Ensure Protected Health Information (PHI) is handled, stored, transmitted, and processed with appropriate safeguards  - Implement technical controls including encryption at rest and in transit, access controls, and audit logging for all PHI-adjacent systems  - Participate in HIPAA risk assessments and support remediation of identified vulnerabilities  - Maintain documentation required for HIPAA compliance including data flow diagrams, system inventories, and access logs  - Stay current on HIPAA regulatory developments and ensure AI systems remain compliant as regulations evolve    SOC 2 Compliance  - Build and maintain AI systems and cloud infrastructure in accordance with SOC 2 Trust Service Criteria (Security, Availability, Confidentiality, Processing Integrity, and Privacy)  - Implement and maintain security controls required for SOC 2 Type I and Type II certification  - Support audit preparation by maintaining evidence, access logs, and system documentation  - Participate in vulnerability management, penetration testing, and incident response processes  - Collaborate with security and compliance teams to ensure all AI deployments meet SOC 2 standards  - Monitor systems continuously for security events and compliance gaps    Data Management & Security  - Design secure data architectures that protect sensitive information throughout the AI pipeline  - Implement role-based access controls, data masking, and anonymization techniques where appropriate  - Ensure data governance practices are followed for all datasets used in model training and inference  - Maintain data lineage documentation and audit trails for compliance and reproducibility    Collaboration & Documentation  - Work closely with engineering, product, operations, and compliance teams to align AI solutions with business needs and regulatory requirements  - Communicate complex technical concepts clearly to non-technical stakeholders  - Produce thorough technical documentation for all systems, models, and integrations  - Mentor junior team members on AI development practices and compliance standards    Required Qualifications  - 3 or more years of hands-on experience in AI, machine learning, or data science engineering roles  - Strong programming skills in Python — this is the primary development language for this role  - Demonstrated experience building and deploying ML models or AI-powered applications in production environments  - Proficiency with AWS cloud services — particularly those relevant to AI/ML workloads (SageMaker, Lambda, S3, EC2, Bedrock, or equivalent)  - Working knowledge of HIPAA requirements and experience building systems that handle PHI in compliance with applicable regulations  - Familiarity with SOC 2 compliance frameworks and the technical controls required to support certification  - Experience with LLMs, NLP, or generative AI frameworks such as LangChain, OpenAI API, Hugging Face, or similar  - Strong understanding of data security, encryption, access control, and audit logging best practices  - Excellent written and verbal communication skills, including the ability to document technical work clearly    Preferred Qualifications  - AWS certifications such as AWS Certified Machine Learning Specialty, AWS Solutions Architect, or AWS Security Specialty  - Experience with MLOps practices and tools including model versioning, monitoring, and automated retraining pipelines  - Familiarity with vector databases such as Pinecone, Weaviate, or pgvector for RAG implementations  - Experience in a HIPAA-covered entity or business associate environment  - Background in healthcare technology, health informatics, or digital health platforms  - Experience with additional programming languages such as JavaScript, TypeScript, Go, or Java  - Familiarity with containerization and orchestration tools including Docker and Kubernetes    Technical Stack  Core  - Python — primary language  - AWS — SageMaker, Lambda, S3, EC2, Bedrock, Step Functions, API Gateway, CloudFormation / CDK  - LLM frameworks — LangChain, OpenAI API, Anthropic API, Hugging Face    Data & Infrastructure  - SQL and NoSQL databases  - Vector databases for semantic search and RAG  - Git / GitHub — version control and CI/CD  - Docker / Kubernetes — containerization and orchestration    Compliance & Security  - HIPAA Privacy and Security Rule compliance  - SOC 2 Trust Service Criteria  - AWS security services — IAM, KMS, CloudTrail, GuardDuty, Security Hub

• Lead, mentor, and support a cross-functional team of engineers delivering growth-critical systems and features. • Collaborate daily with Product and Design to define scope, set priorities, and ensure seamless execution. • Keep projects moving forward — maintaining clear expectations, realistic estimates, and transparent communication with stakeholders. • Provide technical guidance and context to help engineers make sound architectural and implementation decisions. • Foster a culture of accountability, trust, and learning — helping the team grow their impact and autonomy. • Improve team processes, communication, and collaboration across time zones. • Partner with other engineering leaders to ensure consistency and best practices across the broader Growth organization. • Leverage AI tooling daily to boost personal and team productivity • Stay hands-on in the codebase, writing production-grade code and setting the bar for quality, reliability, and speed.

Requisition Number: 28128 Required Travel: 0 - 10% Employment Type: Part Time/Hourly/Non-Exempt Anticipated Salary Range: $148,275.00 - $200,000.00 Security Clearance: Ability to Obtain Level of Experience: Senior HI This opportunity resides with All-Domain Operations (ADO), a business group within HII’s Mission Technologies division. All-Domain Operations comprises multi-domain operations, platforms and logistics, and intelligence operations. HII designs, develops, integrates and manages the sensors, systems and other assets necessary to support integrated ISR operations and accelerated decision-making. With data fusion and mission management capabilities for the Department of Defense, the combatant commands and the intelligence community, HII advances the mission around the globe. Meet HII’s Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense – the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that’s right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: https://vimeo.com/732533072 Job Description HII - Mission Technologies is seeking highly skilled and experienced Technical Subject Matter Expert (SME) to join our team. The SME will provide specialized knowledge and expertise in logistics, intelligence, technology integration, or similar field to ensure the successful execution of projects and strategic initiatives. This is a remote part-time position. Essential Job Responsibilities - Serve as the primary expert in a targeted field of interest - Provide technical guidance and/or knowledge to internal teams, ensuring best practices and industry standards are met - Identify business/operational needs and translate them into actionable technical solutions - Collaborate with cross-functional teams to develop, implement, and/or optimize solutions - Contribute to strategic planning and solutioning - Compile data through interviewing and/or networking with various internal and external stakeholders - Develop, write, and review content to support strategic initiatives, projects, and/or proposals - Act as a liaison between technical teams and key stakeholders to ensure alignment and effective communication - Stay updated on industry trends, emerging technologies, and/or best practices Minimum Qualifications - 8 years relevant progressive experience with Bachelors in related field; 6 years relevant progressive experience with Masters in related field; or High School Diploma or equivalent and 12 years relevant progressive experience. - 8 Years of proven experience in targeted field of interest - Solid relationships with known stakeholders in targeted field of interest - Strong problem-solving, analytical, and decision-making skills - Excellent communication and interpersonal skills to work effectively with diverse teams - Ability to manage multiple priorities in a fast-paced environment - Proven ability to work collaboratively on a team - Clearance- Must be able to obtain and maintain a clearance Preferred Requirements - 10+ Years of proven experience in targeted field of interest - Direct experience working in the INDOPACOM AOR. HII is more than a job - it’s an opportunity to build a new future. We offer competitive benefits such as 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; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application. Why HII We build the world’s most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America’s top large company employers, we are a values and ethics driven organization that puts people’s safety and well-being first. Regardless of your role or where you serve, at HII, you’ll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career. Together we are working to ensure a future where everyone can be free and thrive. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. Do You Need Assistance? If you need a reasonable accommodation for any part of the employment process, please send an e-mail to buildyourcareer@hii-co.com and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1-844-849-8463 for assistance. Press #3 for HII Mission Technologies.