IT - Engineer V

Lead AI/ML Engineer

Our organization is seeking a Lead AI/ML Engineer to join our team. This role will lead the architecture, design, and development of advanced AI-assisted solutions supporting large-scale modernization efforts. The position will play a critical part in driving automated rule extraction from legacy systems, engineering next-generation AI platforms, and ensuring seamless integration of extracted business logic into modern enterprise environments.

Key Responsibilities

• Lead the design, development, and implementation of AI-assisted solutions to extract and document business rules from legacy COBOL/ALC systems.
• Architect and enhance an AI platform to support automated rule extraction, code comprehension, and traceability pipelines.
• Ensure 100% rule traceability from extraction through translation into a vendor-neutral business rules repository.
• Develop, train, and deploy machine learning models and AI agents capable of processing large codebases and legacy logic structures.
• Maintain and optimize AI/ML platforms, workflows, and environments, including cloud-based ML pipelines and MLOps frameworks.
• Create scalable, secure, and reliable AI/ML services using technologies such as Python, SQL, and AWS Bedrock.
• Lead code reviews, architecture reviews, and quality assurance activities to ensure model accuracy and reproducibility.
• Collaborate with cross-functional engineering, data, and business rule teams.
• Provide technical leadership and mentorship to junior AI/ML engineers and data scientists.
• Document models, workflows, datasets, and architectural decisions.
• Support Agile ceremonies and contribute to sprint planning and backlog refinement.

Required Qualifications

Education:

Minimum of 8 years of experience with a BS/BA, 6 years with an MS/MA, or 3 years with a PhD.

Experience:

• Demonstrated experience developing and deploying AI/ML models for code analysis, natural language processing, or rule extraction.
• Hands-on experience maintaining ML platforms, MLOps pipelines, or AI agent frameworks in production environments.
• Proven ability to architect complex systems and lead end-to-end technical efforts.
• Experience integrating AI/ML solutions with legacy or mainframe-based environments (COBOL, ALC, JCL).
• Ability to communicate technical concepts to both technical and non-technical stakeholders.
• U.S. Citizenship required.

Technical

Skills:

• Proficiency in Python and SQL.
• Experience designing or operating AI/ML workloads in AWS environments, including AWS Bedrock, S3, or Lambda.

Preferred Qualifications

• Experience with federal healthcare IT environments.
• Familiarity with business rules management systems (BRMS) or enterprise rules repositories.
• Experience with automated code analysis platforms or static analysis tools.
• Knowledge of Agile/Scrum methodologies.
• Certifications in AI/ML or cloud architecture (AWS).
• Experience supporting projects requiring strict traceability or auditability standards.