AI Engineer, Senior (GenAI / AI Modernization)

LCG Inc.; Rockville (MD); On-site; USD 100,000 - 130,000; Full time

Job summary

LCG Inc. is seeking an AI Engineer to support NIH modernization, focusing on AI-assisted development, codebase intelligence, and enterprise workflows. You will leverage tools like GitHub Copilot and LLMs to boost developer productivity and reduce technical debt across Java and .NET applications.

The role collaborates with development teams, DevSecOps, and stakeholders to scale AI use cases in alignment with the modernization roadmap and NIH guidelines.

Qualifications

• Bachelor’s degree or higher in a technical field.
• 5+ years in software engineering, data engineering, or related roles.
• Hands-on experience with AI/ML or Generative AI tools.
• Strong programming in Python, Java, or .NET.
• Experience integrating APIs and third‑party platforms.

Responsibilities

• Implement and operationalize AI-assisted development tools across engineering teams.
• Index repositories to enable natural language queries across legacy systems.
• Support AI-driven code refactoring and modernization of Java and .NET apps.
• Design and implement AI-driven solutions like code analysis, requirements extraction, and test generation.
• Integrate AI capabilities with enterprise platforms via APIs and standards (e.g., MCP).
• Develop AI-powered assistants for operational and research workflows.

Skills

Python

Java

.NET

APIs

SDLC

Education

Bachelor’s degree in Computer Science, AI, Data Science, Engineering, or related field

Tools

GitHub Copilot

AWS SageMaker

ServiceNow

SharePoint

Power BI

Job description

Location: Rockville, MD (Onsite, 3 days per week) - No exceptions

Required Clearance: Ability to obtain Public Trust

Sponsorship: No sponsorship assistance is available for this position now or in the future.

Position Description:

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.

Key Responsibilities

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.

Qualifications

Education

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.

Required Experience

• 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.

Compensation and Benefits

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.

Devoted to Fair and Inclusive Practices

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.

Use of Artificial Intelligence in Recruiting

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.