AI/ML Engineer

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will design, build, and deploy scalable AI and machine learning solutions that drive business impact. You will contribute across the full AI lifecycle, developing traditional ML models and LLM-powered systems such as Retrieval-Augmented Generation (RAG) pipelines and agentic AI systems. You will collaborate with cross-functional teams, translate complex business challenges into technical solutions, and deliver reliable, performant systems aligned with client needs while staying current with emerging AI advancements. Responsibilities: Design and deploy machine learning models, Agentic AI systems, and LLM-based applications. Translate business challenges into scalable AI solutions aligned with defined success metrics. Develop RAG pipelines, embedding strategies, and vector search architectures. Build agentic workflows, prompt strategies, and orchestration patterns. Own AI/ML solutions end to end from design through deployment and operationalization. Evaluate model and Agent performance using automated and human-in-the-loop methods. Optimize AI systems for latency, cost, scalability, and reliability. Support deployment workflows, CI/CD pipelines, containerization, and MLOps practices to enable scalable and reliable AI system delivery. Design and maintain reliable data, feature, and inference pipelines with a focus on validation, lineage, monitoring, and reproducibility. Stay current with advancements in AI/ML, including LLMs, agentic systems, tooling, and applied best practices, and incorporate relevant innovations into team solutions. Collaborate with engineers, data scientists, product stakeholders, and platform teams to deliver scalable, high-impact AI solutions aligned with business and client needs. Qualifications: Relevant degree preferred. Advanced degree in Computer Science, Engineering, Data Science or a related field preferred. 2 or more years of relevant experience required. Experience deploying machine learning or AI applications into production environments required. Strong Python expertise and software engineering practices required. Experience building LLM applications such as RAG systems, prompt-based workflows, tool usage, and agentic AI systems preferred. Hands-on experience with LLM frameworks, vector databases, embeddings, rerankers, LangChain, LlamaIndex, or similar technologies preferred. Understanding of classical machine learning workflows, including feature engineering, model training, evaluation, error analysis, and monitoring. Familiarity with tools and technologies such as FastAPI, MLflow, Docker, cloud platforms, and CI/CD pipelines preferred. Strong understanding of evaluation methodologies for predictive ML and agentic AI-based systems preferred. Demonstrated curiosity, initiative, and ability to quickly learn, evaluate, and apply emerging AI tools and technologies. Experience working in startup, high-growth, or fast-paced product environments preferred. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $77,400.00 to $135,400.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.