AI Engineer

LCG is seeking an AI Engineer to support our client at NIH in advancing AI-driven modernization initiatives across software development, research enablement, and enterprise operations.

This role will focus on implementing AI-assisted development capabilities, enabling codebase intelligence, accelerating modernization of legacy applications, and integrating AI into enterprise workflows. The AI Engineer will play a key role in leveraging tools such as GitHub Copilot, large language models (LLMs), and emerging AI frameworks to improve developer productivity, reduce technical debt, and enhance system understanding across a complex application portfolio.

The position will collaborate with development teams, DevSecOps engineers, and business stakeholders to identify, implement, and scale AI use cases that align with Client’s modernization roadmap., AI-Assisted Development & Engineering

• Implement and operationalize AI-assisted development tools (e.g., GitHub Copilot, LLM-based assistants) across engineering teams.
• Enable full codebase understanding by indexing repositories and supporting natural language queries across legacy systems.
• Support AI-driven code refactoring, modernization, and technical debt reduction efforts across Java and .NET applications.
• Assist in legacy-to-modern transformation initiatives, including translating legacy code into modern APIs and cloud-native architectures.

AI Use Case Development & Integration

• Design and implement AI-driven solutions such as:

• Code analysis and summarization tools
• Requirements extraction from legacy systems
• Test generation and code quality automation
• Knowledge bots leveraging enterprise data sources (ServiceNow, SharePoint, etc.)

Integrate AI capabilities with enterprise platforms using APIs and emerging standards (e.g., Model Context Protocol - MCP).

Support development of AI-powered assistants for operational and research workflows.

AI Enablement & Developer Productivity

• Drive adoption of AI tools to reduce time spent on debugging, documentation, onboarding, and code reviews.
• Partner with development teams to identify bottlenecks and apply AI solutions to improve efficiency.
• Establish best practices for AI usage, including prompt engineering, validation, and responsible AI usage.

Data, Models, and Platform Support

• Support AI/ML workloads leveraging cloud services (e.g., AWS SageMaker).
• Assist in enabling AI-driven analytics, reporting, and research workflows.
• Ensure secure handling of sensitive data in compliance with federal and NIH guidelines.

Training, Adoption, and Governance

• Support AI literacy initiatives and role-based training for developers and business users.
• Define governance practices for AI usage, including data handling, validation, and compliance.
• Collaborate with stakeholders to identify and prioritize AI use cases across the portfolio.

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field., * 5+ years of experience in software engineering, data engineering, or related technical roles.

• Hands-on experience with AI/ML or Generative AI tools (e.g., OpenAI, Copilot, Claude, etc.).
• Strong programming experience in languages such as Python, Java, or .NET.
• Experience working with APIs and integrating third-party platforms.
• Familiarity with modern software development practices and SDLC.

Preferred Experience

• Experience with AI-assisted development tools (GitHub Copilot or similar).
• Experience working with cloud-based AI/ML platforms (AWS SageMaker preferred).
• Exposure to enterprise system integrations (ServiceNow, SharePoint, Power BI, etc.).
• Experience working in federal or healthcare research environments.
• Understanding of data security, compliance, and FedRAMP environments.

The projected compensation range for this position is $100,000 to $130,000 per year benchmarked in the Washington, D.C. metropolitan area. The salary range provided is a good faith estimate representative of all experience levels. Salary at LCG is determined by various factors, including but not limited to role, location, the combination of education/training, knowledge, skills, competencies, certifications, and work experience.

LCG offers a competitive, comprehensive benefits package which includes health insurance options (medical, dental, vision), life and disability insurance, retirement plan contributions, as well as paid leave, federal holidays, professional development, and lifestyle benefits.