IT - Engineer V
Role details
Job location
Tech stack
Job description
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., * 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.
Requirements
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., * 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.