Sr AI/ML Engineer

Vizient; Irving (TX); On-site; USD 102,400 - 179,000; Full time

Job summary

Vizient is seeking a Senior Associate (P3) in Irving, Texas to lead the design and deployment of scalable AI and machine learning solutions. In this role, you will develop LLM-powered systems while collaborating across teams to address complex business problems.

The ideal candidate will have relevant experience in ML engineering and strong Python skills. The estimated hiring range for this position is between $102,400.00 and $179,000.00, with bonus eligibility.

Qualifications

• 5+ years of relevant experience required.
• Experience deploying ML models into production environments.
• Strong Python expertise and software engineering practices.

Responsibilities

• Design and deploy machine learning models and LLM applications.
• Optimize AI systems for latency, cost, scalability, and reliability.
• Mentor team members and influence AI architecture decisions.

Skills

Machine Learning Engineering

AI Solutions Development

Python

Production Software Engineering

RAG Systems

Model Deployment

API Development

Vector Databases

Education

Relevant degree in Computer Science, Engineering, Data Science

Advanced degree preferred

Tools

FastAPI

MLflow

LangChain

LlamaIndex

Job description

Excited to grow your career? We value our talented employees and instill an environment where you feel engaged, satisfied and able to contribute your unique skills and talents while living and working as your authentic self. We provide extensive opportunities for personal and professional development, building employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Our people make all the difference in our success.

In this role, you will design, build, and deploy scalable AI and machine learning solutions that drive business impact. You will lead the full AI lifecycle from experimentation through production, developing both traditional ML models and Large Language Model (LLM)-powered systems such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows. You will collaborate across teams to translate complex problems into reliable, high-performing solutions aligned with client needs. We are seeking engineers who are driven, curious, and energized by the pace of AI innovation, bringing emerging tools and techniques into practical, production-ready systems while taking ownership and helping shape the next generation of AI capabilities.

Responsibilities

• Lead the design, development, and deployment of machine learning models and LLM-based applications.
• Translate business challenges into scalable AI solutions and define success metrics aligned with business KPIs.
• Design and implement RAG pipelines, embedding strategies, and vector search architectures.
• Build agentic workflows, prompt strategies, and orchestration patterns for LLM systems.
• Own AI/ML solutions end to end, from scoping and design through implementation, deployment, and operationalization, with a high degree of autonomy.
• Evaluate model and LLM performance using automated and human-in-the-loop methods while implementing guardrails and monitoring.
• Optimize AI systems for latency, cost, scalability, and reliability.
• Architect and maintain scalable deployment strategies, CI/CD pipelines, and MLOps workflows.
• Implement monitoring, drift detection, retraining pipelines, and model lifecycle management practices.
• Design and maintain production-grade data pipelines ensuring validation, lineage, and reproducibility.
• Mentor team members, influence AI architecture decisions, and promote responsible AI governance.
• Stay current with advancements in AI/ML, including LLMs, agentic systems, tooling, and applied best practices, and integrate relevant innovations into team solutions.

Qualifications

• Relevant degree preferred. Advanced degree in Computer Science, Engineering, Data Science, or a related field is a plus.
• 5 or more years of relevant experience required.
• Experience in ML engineering, applied AI, or related fields preferred.
• Experience deploying machine learning models into production environments required.
• Experience building and deploying LLM-powered applications such as RAG systems, Agentic workflows required.
• Strong Python expertise and production-grade software engineering practices required.
• Experience with model serving frameworks and API development (e.g., FastAPI, MLflow, etc.) required.
• Experience with vector databases and embedding workflows required.
• Familiarity with orchestration frameworks such as LangChain, LlamaIndex, or similar tools required.
• Experience with CI/CD pipelines, containerization, and cloud-based deployment environments required.
• Strong understanding of evaluation methodologies for both predictive ML and LLM systems required.
• Experience building AI/ML systems in startup, high-growth, or large-scale enterprise environments, with a track record of applying learned best practices to improve team standards and delivery maturity, preferred.
• Experience designing AI platforms or reusable AI templates preferred.
• Familiarity with model monitoring frameworks and evaluation tooling for LLM systems preferred.
• Experience working in regulated or high-compliance environments preferred.
• Experience optimizing cost and performance for large-scale inference workloads preferred.
• Experience fine-tuning or adapting foundation models preferred.

Professional - Senior Associate (P3)

Estimated Hiring Range: $102,400.00 to $179,000.00

This position is also incentive eligible.