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Artificial Intelligence/Machine Learning Engineer
- Austin, Texas, United States
- Austin, Texas, United States
Über
Required Experience
8+ years of Hands-on Software Engineering experience
8+ 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 Platforms
8+ years of experience with CI/CD tools such as GitHub Actions, Azure DevOps, or equivalent
8+ years of experience with Infrastructure as Code (Terraform, ARM/Bicep, or similar)
8+ years of experience working directly with Customers or Operational Teams
8+ years of experience extending platforms such as Salesforce, Appian, and ServiceNow
8+ years of experience delivering systems from Design through Deployment
8+ years of experience with Security Frameworks including NIST, Zero Trust, and TX-RAMP
8+ years of experience in Cross-Functional Collaboration and Communication
8+ years of experience evaluating when to use Low-Code versus Custom Development solutions
8+ years of experience identifying High-Value Use Cases and analyzing workflows
Bachelor's Degree in Computer Science, Engineering, or related field OR 10+ years of equivalent hands‑on engineering experience
Preferred Experience
8+ years of experience in State Government, Regulated Industries, or Multi-Agency Integration Projects
8+ years of Technical Field Engineering (FDE) experience at a Software Platform Company
8+ years of experience designing and implementing AI/LLM solutions including:
Retrieval-Augmented Generation (RAG)
Agentic AI Workflows
Prompt Engineering
Model Evaluation
Human-in-the-Loop Review
Responsible AI Controls
8+ years of experience supporting Modernization Programs and Shared Technical Services
8+ years of experience building Reusable Components, Design Systems, and Developer Tooling
8+ years of experience evaluating AI/LLM platforms based on Security, Cost, Accuracy, Explainability, Auditability, and Sustainability
6+ years of TX-RAMP knowledge or Auditor Training
1+ year of Cloud Architecture, DevOps, AI, Security, or Kubernetes Certification experience
Preferred Certifications
CISSP
CCSP
CISM
CKA / CKAD
TOGAF
Scrum Master
SAFe Agile
Azure Certifications
AWS Certifications
Google Cloud Certifications
HashiCorp Certifications
ISC2 Certifications
ISACA Certifications
Responsibilities
Design, 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.
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Sprachkenntnisse
- English
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