AI​/ML Engineer

Job Profile

Summary:

The AI / ML Engineer will design, develop, and operationalize scalable artificial intelligence and machine learning solutions that support digital transformation, student success, and learning experience initiatives. This role is responsible for developing production-ready AI systems, partnering with cross-functional teams, and contributing to the enterprise AI strategy.

The ideal candidate is hands-on, analytical, and outcome-driven, with the ability to translate complex problems into practical, and impactful AI solutions.

• Design, develop, and deploy advanced AI/ML applications using Python and cloud platforms (
  GCP preferred
  ).
• Build and operationalize generative AI solutions
  , including enterprise AI agents and multi-agent orchestration frameworks.
• Design, implement, and optimize AI-driven tools, applications, and automation pipelines for scalable production use.
• Apply prompt engineering and model interaction strategies to improve accuracy, reliability, and usability of generative AI systems.
• Design and implement Retrieval-Augmented Generation (RAG) architectures leveraging institutional and domain-specific data.
• Evaluate AI system performance using qualitative and quantitative metrics and incorporate feedback for continuous improvement.
• Partner with data engineering teams to develop robust data pipelines and integrate AI services into enterprise platforms.
• Collaborate with software engineers, QA, product owners, business analysts, and agile teams to deliver AI-enabled features.
• Produce and maintain technical documentation explaining system design, behavior, and recommendations for both technical and non-technical audiences.
• Participate in sprint planning, code reviews, and cross-team design discussions.
• Contribute recommendations to AI strategy, governance, and quality frameworks.
• Job
  
  Skills:
  
  

• Advanced Python programming for AI/ML development, including Tensor Flow, PyTorch, Num Py, Pandas
• API and service development using FastAPI or Flask
• Experience with cloud-native AI architectures (
  GCP preferred; AWS/Azure acceptable)

• Design and deployment of generative AI applications integrated into enterprise software products
• Experience building enterprise-grade AI agents and multi-agent orchestration systems
• Familiarity with enterprise-ready agentic AI SDKs and frameworks

• Hands-on experience with RAG architectures and vector databases
• Experience working with LLMs, prompt engineering, and model evaluation techniques

• CI/CD pipeline implementation and maintenance using Jenkins or Git Lab CI/CD
• Infrastructure-as-code experience with Terraform and/or Ansible

• Strong problem-solving and systems-thinking skills
• Effective communication with both technical and non-technical stakeholders
• Self-directed, adaptable, and comfortable working in fast-paced environments
• Work Experience:
• 5+ years of experience in software development, systems integration, and enterprise implementations
• Hands-on experience evaluating and monitoring AI/LLM systems in production, including observability and performance frameworks
• Experience with cloud platforms and managed AI services (GCP preferred)
• Experience applying AI solutions in education, digital learning, or regulated environments preferred
• Demonstrated ability to lead technically complex initiatives independently
• Education
  :
• Bachelor's degree in Computer Science, Data Science, Engineering, or other technical field.
• All degrees must be conferred from an institution accredited by an accrediting agency recognized by the U.S. Department of Education.