Artificial Intelligence/Machine Learning Engineer

Artificial Intelligence / Machine Learning EngineerLocation: Austin, TX (Hybrid) Duration: Long-Term ContractRequired Experience:8+ years of Hands-on Software Engineering experience8+ years of experience with Modern Cloud Platforms (Azure, AWS, GCP, etc.)8+ years of experience with TypeScript/JavaScript, Python, or C#8+ years of experience with Modern UI Frameworks (React, Angular, Web Components)8+ years of experience integrating APIs, LLMs, Internal Services, and Data Platforms8+ years of experience with CI/CD tools such as GitHub Actions, Azure DevOps, or equivalent8+ years of experience with Infrastructure as Code (Terraform, ARM/Bicep, or similar)8+ years of experience working directly with Customers or Operational Teams8+ years of experience extending platforms such as Salesforce, Appian, and ServiceNow8+ years of experience delivering systems from Design through Deployment8+ years of experience with Security Frameworks including NIST, Zero Trust, and TX-RAMP8+ years of experience in Cross-Functional Collaboration and Communication8+ years of experience evaluating when to use Low-Code versus Custom Development solutions8+ years of experience identifying High-Value Use Cases and analyzing workflowsBachelor's Degree in Computer Science, Engineering, or related field OR 10+ years of equivalent hands-on engineering experiencePreferred Experience:8+ years of experience in State Government, Regulated Industries, or Multi-Agency Integration Projects8+ years of Technical Field Engineering (FDE) experience at a Software Platform Company8+ years of experience designing and implementing AI/LLM solutions including:Retrieval-Augmented Generation (RAG)Agentic AI WorkflowsPrompt EngineeringModel EvaluationHuman-in-the-Loop ReviewResponsible AI Controls8+ years of experience supporting Modernization Programs and Shared Technical Services8+ years of experience building Reusable Components, Design Systems, and Developer Tooling8+ years of experience evaluating AI/LLM platforms based on Security, Cost, Accuracy, Explainability, Auditability, and Sustainability6+ years of TX-RAMP knowledge or Auditor Training1+ year of Cloud Architecture, DevOps, AI, Security, or Kubernetes Certification experiencePreferred CertificationsCISSPCCSPCISMCKA / CKADTOGAFScrum MasterSAFe AgileAzure CertificationsAWS CertificationsGoogle Cloud CertificationsHashiCorp CertificationsISC2 CertificationsISACA CertificationsResponsibilitiesDesign, develop, and deploy AI-enabled applications and enterprise solutions.Integrate LLMs, APIs, internal services, and enterprise data platforms.Develop cloud-native and modern web applications.Build and maintain CI/CD pipelines and Infrastructure as Code environments.Extend enterprise platforms including Salesforce, Appian, and ServiceNow.Implement AI/ML and LLM-based workflows.Ensure compliance with security, governance, and regulatory requirements.Collaborate with business stakeholders and technical teams to deliver innovative solutions.Lead projects from architecture and design through production deployment.