Artificial IntelligenceMachine Learning Engineer

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

• Bachelors 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.