AI Engineer, Senior (GenAI / AI Modernization)

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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.  

If you are interested in applying for employment with LCG and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department by email at hr@lcginc.com. 

Beware of fraudulent job offers using LCG's name. LCG will never request payment-related details or advancement of money during the application process. Legitimate communication will only come from lcginc.com or system@hirebridgemail.com emails, not free commercial services like Gmail or WhatsApp. If you receive suspicious emails asking for payment or personal information, contact us immediately at hr@lcginc.com. 

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. 

 LCG may use artificial intelligence (AI) and other automated technologies to support portions of the recruiting and hiring process, including resume review, candidate matching, interview scheduling, skills assessment, and other administrative functions. AI-assisted tools are used solely to support our hiring process and do not independently determine employment outcomes. Final hiring decisions are made by trained hiring professionals following a comprehensive review of each candidate's qualifications. We are committed to equal employment opportunity and strive to ensure our hiring practices are fair, transparent, and compliant with applicable laws. Applicants needing a reasonable accommodation during the application or interview process should contact Human Resources.