AI Engineer

9thwayinsignia; United States; On-site; USD 100,000 - 150,000; Full time

Job summary

9th Way Insignia seeks an AI Engineer 3 to design, develop, and deploy enterprise AI/ML solutions for VA COSE. You will collaborate with cybersecurity engineers, data scientists, software developers, and government stakeholders to deliver secure AI capabilities.

Responsibilities include building production AI/ML models, evaluating technologies, and ensuring reliability, accuracy, and safety of outputs in mission-critical environments.

Qualifications

• Experience designing, developing, and evaluating AI/ML models for enterprise systems.
• Experience with Generative AI and LLMs in production.
• Ability to work with data scientists and developers in a government context.

Responsibilities

• Design, develop, train, test, deploy, and maintain AI/ML models for enterprise-scale government apps.
• Develop and operationalize production AI/ML solutions with reliability and scalability.
• Prepare data for AI/ML model development, training, testing, and evaluation.
• Evaluate AI technologies and frameworks for federal government use cases.
• Implement safeguards, content controls, and model evaluation methodologies.

Skills

AI/ML

Generative AI

Data analysis

Software development

Tools

Python

LLM frameworks

Job description

9th Way Insignia is a service-disabled, veteran-owned small business bringing transformative technology to our government customers so they can achieve their missions. Our specialties include cybersecurity, cloud modernization, software development, data analytics, enterprise architecture, enterprise IT, analytics, process automation, and artificial intelligence. Learn more about 9th Way Insignia at https://9thwayinsignia.com/.

Team (Project) Introduction

The Department of Veterans Affairs (VA) Cybersecurity Operations Systems Engineering (COSE) project serves as an overarching technical engine that unifies Architecture and Engineering Services throughout the VA Enterprise. This program implements cohesive organizational security architecture and underlying engineering components that utilize national security standards, guidelines, and frameworks. COSE bridges the gap between high-level business requirements and technical structures, enabling the consistent deployment of secure technologies through implementation guidance and the establishment of an analytic library. Systems security engineering within COSE contributes a holistic perspective to the systems engineering effort, ensuring that stakeholder protection needs are addressed throughout the entire system life cycle from concept and development to production, support, and decommissioning. By drawing upon well-established systems engineering and security principles, COSE adapts and supplements practices to protect intellectual property, data, and the methods used to create VA systems. These activities improve the security posture of VA applications to prevent, deter, or detract from cyberattacks by nefarious adversaries or insider threats.

9 th Way Insignia is looking for an Engineer, 3, Artificial Intelligence Engineer to join this team.

Professional Level Information

An Engineer, 3 typically plans and directs research or development work on complex projects, along with engaging various parties in design and development. Costs and recommendations of new components may also involve part of the job scope. Performs multiple engineering-related tasks in various assignments within the project and firm. An Engineer, 3 oversees the design, development, implementation, and analysis of technical products and systems. An Engineer, 3 has broad knowledge of engineering procedures and assists in the resolution of complex problems. An Engineer, 3 has strong technical skills and background, a knack for learning new technologies, and a blend of good problem-solving and innovation needed to resolve a wide variety of technical production challenges.

Functional Job (LCAT) Information

The Artificial Intelligence Engineer will design, develop, implement, secure, evaluate, and maintain Artificial Intelligence (AI), Machine Learning (ML), and Large Language Model (LLM) solutions supporting the VA COSE program. The engineer will work closely with cybersecurity engineers, architects, data scientists, software developers, and Government stakeholders to deliver secure, reliable, responsible, and production-ready AI capabilities.

Responsibilities

• Design, develop, train, test, deploy, and maintain AI and machine learning models for enterprise-scale and Government applications.
• Develop and operationalize production AI/ML solutions, ensuring models and supporting systems are reliable, scalable, maintainable, and appropriate for VA mission requirements.
• Collect, clean, transform, analyze, and prepare structured and unstructured data for AI/ML model development, training, testing, and evaluation.
• Evaluate potential AI technologies, models, tools, frameworks, and architectures and recommend solutions appropriate for complex Federal Government and cybersecurity use cases.
• Apply AI and machine learning techniques to solve real-world business, cybersecurity, engineering, analytics, and operational problems across a large enterprise environment.
• Develop and support Generative AI and Large Language Model (LLM) solutions, including model configuration, system prompts, classifiers, fine-tuning, content moderation, safety filters, and other model controls.
• Evaluate AI-generated outputs for accuracy, factuality, grounding, reliability, bias, helpfulness, honesty, and overall model performance before outputs are incorporated into VA efforts.
• Design and execute AI/ML model evaluation and validation methodologies, including benchmark testing and comparative evaluation of model outputs.
• Perform and support AI red-team testing to identify weaknesses, unintended model behaviors, bias, security vulnerabilities, and other risks associated with AI-generated outputs.
• Implement mechanisms and controls to improve the factuality and grounding of AI/LLM outputs, including system-level instructions, source attribution, content controls, and appropriate response behavior when information is incomplete, contradictory, or uncertain.
• Develop, implement, and maintai