Job Summary
We are seeking a skilled and motivated AI/ML Engineer to join a growing Data & AI Platform Engineering team. In this role, you will contribute to the design, implementation, and support of AI and machine learning capabilities operating within an enterprise data and AI ecosystem.
The ideal candidate will collaborate with engineers, data scientists, and cross-functional stakeholders to deliver production-ready AI/ML solutions that are scalable, secure, and aligned with established engineering standards. This position requires strong software engineering fundamentals, experience working with unstructured data and metadata, and familiarity with semantic modeling techniques that enhance data discoverability and usability.
This role also offers the opportunity to work with emerging AI technologies, including Large Language Models (LLMs) and foundation model platforms, within a governed enterprise environment.
Key Responsibilities
AI/ML Solution Development
Design, develop, and support AI and machine learning components in partnership with senior engineers and architects.
Build secure, reliable, and maintainable AI/ML solutions using established engineering best practices.
Apply existing frameworks and standards to ensure consistency, scalability, and operational readiness.
Evaluate trade-offs involving performance, scalability, cost, and user experience when implementing solutions.
Unstructured Data & Semantic Technologies
Develop pipelines to ingest, process, and enrich unstructured and semi-structured data, including documents and text.
Work with metadata, embeddings, and semantic representations to improve search, retrieval, and downstream AI use cases.
Apply semantic modeling techniques to enhance data discoverability and usability across applications and end users.
Software Engineering Excellence
Write high-quality, production-grade code following modern development standards.
Participate in automated testing, code reviews, and CI/CD processes supporting AI/ML systems.
Translate technical designs into functional solutions and consistently deliver against commitments.
Collaboration & Problem Solving
Implement solutions for moderately complex technical challenges while considering business requirements and constraints.
Partner with data scientists, platform engineers, and business stakeholders to deliver effective AI/ML capabilities.
Contribute to technical documentation, design discussions, and agile development activities.
MLOps & Operational Support
Support MLOps/FMOps practices, including model deployment, versioning, monitoring, and troubleshooting.
Identify opportunities to improve reliability, observability, and maintainability of AI/ML systems.
Enhance existing pipelines, tools, and platform components through continuous improvement efforts.
Large Language Models & Foundation Models
Apply LLMs and prompt engineering techniques to address business use cases within established governance frameworks.
Contribute to solutions leveraging managed foundation model platforms.
Evaluate and assist in integrating emerging AI capabilities into enterprise platforms.
Governance & Compliance
Develop AI/ML solutions that align with organizational governance standards, including documentation, testing, and lineage requirements.
Collaborate with governance and compliance teams to ensure adherence to enterprise expectations.
Follow established practices related to model validation, versioning, and transparency.
Qualifications
Education
Bachelor's degree in Computer Science, Data Science, Engineering, or a related field required.
Advanced degree preferred.
Experience
3+ years of experience in AI/ML engineering or applied machine learning.
Demonstrated experience delivering AI/ML solutions in production environments.
Hands-on experience working with unstructured data, embeddings, and semantic technologies.
Exposure to MLOps/FMOps practices and governed AI environments.
Experience with LLMs and prompt engineering is preferred.
Technical Skills
Strong programming skills in Python; experience with Java or similar languages is a plus.
Experience with AI/ML frameworks such as TensorFlow, PyTorch, and/or Scikit-learn.
Experience deploying AI/ML workloads within cloud environments, preferably AWS.
Familiarity with managed foundation model platforms (e.g., AWS Bedrock) is preferred.
Experience with data processing technologies such as Spark, SQL, and/or NoSQL databases.
Numbers & Facts
Location
Glendale, AZ
Salary
$60–$75 Per Hour
Skills
Agile Programming Methodologiesunmatched
Amazon Web Services (AWS)unmatched
Artificial Intelligence (AI)unmatched
Best Practicesunmatched
Business Caseunmatched
Cloud Computingunmatched
Code Reviewsunmatched
Computer Programmingunmatched
Computer Scienceunmatched
Continuous Deployment/Deliveryunmatched
Continuous Improvementunmatched
Continuous Integrationunmatched
Cross-Functionalunmatched
Data Processingunmatched
Data Scienceunmatched
Documentationunmatched
Ecosystemsunmatched
Emerging Technologyunmatched
Identify Issuesunmatched
Javaunmatched
Machine Learningunmatched
Maintain Complianceunmatched
Metadataunmatched
Model Validationunmatched
Modeling Languagesunmatched
NoSQLunmatched
Operational Supportunmatched
Problem Solving Skillsunmatched
Production Systemsunmatched
Python Programming/Scripting Languageunmatched
Reliability Engineeringunmatched
SQL (Structured Query Language)unmatched
Software Engineeringunmatched
Structured Dataunmatched
Technical Writingunmatched
Technical/Engineering Designunmatched
Test Automationunmatched
Test Requirementsunmatched
Unstructured Dataunmatched
Usability Engineeringunmatched
Use Casesunmatched
User Interface/Experience (UI/UX)unmatched
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