AI/ML Engineer

Vizient, Inc

AI/ML Engineer designing, building, and deploying AI and machine learning solutions at Vizient. Collaborating to innovate scalable solutions against business challenges with a focus on reliability and performance.

Posted 7/29/2026full-timeIrving • Colorado, Illinois, Texas • 🇺🇸 United StatesJuniorMid-Level💰 $77,400 - $135,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying machine learning models and AI systems, with a strong focus on LLM applications and scalable AI solutions. Proficient in Python and MLOps practices, ensuring reliable and efficient delivery of AI systems.

Highest-signal resume keywords

Machine Learning Model DeploymentPython ProgrammingLLM Application DevelopmentMLOps PracticesCI/CD Pipeline Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAI Application DevelopmentFeature EngineeringModel TrainingError AnalysisEvaluation MethodologiesData Pipeline DesignVector Search ArchitecturesAgentic AI SystemsEmbedding Strategies

Soft Skills

CuriosityInitiativeCollaboration

Tools & Technologies

FastAPIMLflowDockerCloud PlatformsLangChainLlamaIndexRAG SystemsCI/CD ToolsVector DatabasesPrompt-Based Workflows

Industry Keywords

AI SolutionsScalable SystemsHigh-Growth EnvironmentsStartup ExperiencePredictive ML

Tech Stack

Tools & technologies

CloudDockerPython

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Comprehensive benefits plan
Paid time off
Health insurance
Professional development opportunities
Incentive eligibility