Departmental Summary: The AI Engineer must have prior hands-on experience designing, building, and deploying Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI solutions within large-scale, big data environments. Proven experience delivering projects using Agile methodologies is a mandatory requirement.
Key Responsibilities Design, develop, and implement end-to-end agentic AI systems that integrate:
Deliver production-grade solutions that meet enterprise standards for reliability, scalability, performance, and maintainability.
Departmental Preferences: Hands-on development experience with:
Work closely with clients, business analysts and team members on small to large, complex projects to understand the business requirements that drive the analysis and design of quality technical solutions that align with business and IT strategies and are in compliance with the organizations architectural standards. Provide support in the full systems life cycle for multiple applications to ensure application software is delivered on time and within budget.
Qualifications
EDUCATION AND/OR EXPERIENCE
OTHER SKILLS AND ABILITIES
All qualified applicants will receive consideration for employment without regard to, among other grounds, race, color, religion, sex, national origin, sexual orientation, age, gender identity, protected veteran status or status as an individual with a disability.