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AI Platform Engineer (Contract)

Saicon Consultants Inc

Omaha, NE

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JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Automation, Cloud Computing, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, DevOps, Documentation, Engineering, Enterprise Applications, High Availability, Identify Issues, Information Technology & Information Systems, Java, Knowledge Transfer, Linux Operating System, MCP - Microsoft Certified Professional, Maintain Compliance, Modeling Languages, Performance Tuning/Optimization, Programming Languages, Python Programming/Scripting Language, SQL (Structured Query Language), Security Infrastructure, Software Development, Software Engineering, Technical Leadership, Technical Writing, Test Plan/Schedule, Unix Shell Programming, Validation Testing
LOCATION
Omaha, NE
POSTED
18 days ago

Position Summary

We are seeking an experienced AI Platform Engineer (Contract) to help design, build, and enhance enterprise AI platform capabilities that enable scalable, secure, and governed AI/ML solutions. This role will work closely with Platform Architects, Principal Engineers, Security, Cloud, and Product teams to develop reusable platform services, automation frameworks, and operational standards that accelerate the adoption of Generative AI and Large Language Model (LLM) solutions across the organization.

The ideal candidate will have strong experience in AI platform engineering, cloud-native development, automation, DevOps, Infrastructure as Code (IaC), and enterprise software development using Java and Python.

Key Responsibilities

  • Design, develop, and implement secure, scalable, and highly available AI platform components.
  • Build reusable automation frameworks, accelerators, SDKs, and platform services for AI application development.
  • Develop enterprise AI integration frameworks, including:
    • Model Context Protocol (MCP)
    • Agent-to-Agent (A2A) Communication
    • AI Agent Orchestration
    • Workflow Automation
  • Build CI/CD pipelines and Infrastructure as Code (IaC) solutions for AI platform deployments.
  • Implement platform observability, monitoring, logging, and operational automation.
  • Develop testing, validation, governance, and certification frameworks to support Responsible AI practices.
  • Collaborate with Cloud Engineering, Security, Infrastructure, and Product teams to ensure enterprise compliance and scalability.
  • Support AI platform modernization initiatives and contribute to architecture and technology roadmaps.
  • Produce technical documentation, implementation guides, architecture diagrams, and operational runbooks.
  • Provide technical leadership and knowledge transfer to internal engineering teams.
  • Troubleshoot complex production issues and optimize AI platform performance, reliability, and scalability.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent experience.
  • 7+ years of software engineering or platform engineering experience.
  • Strong experience building enterprise platform solutions.
  • Expertise in:
    • Java
    • Python
    • SQL
    • Linux
    • Shell/Python scripting
  • Strong understanding of AI/ML platform architecture and enterprise software development.
  • Experience implementing automation across development, deployment, and operations.
  • Excellent analytical and troubleshooting skills.
  • Strong communication and documentation skills.

Required Technical Skills

  • Programming Languages
    Java
    Python
    SQL
    Bash/Shell Scripting
  • AI & Machine Learning
    Generative AI
    Large Language Models (LLMs)
    AI Platform Engineering
    AI Governance
    Responsible AI
    AI Integration Frameworks
  • AI Frameworks & Technologies
    Model Context Protocol (MCP)
    Agent-to-Agent (A2A)
    AI Agent Orchestration
    Workflow Automation
    REST APIs
    Microservices
  • DevOps & Automation
    CI/CD Pipelines
    Git
    Jenkins / GitHub Actions / Azure DevOps
    Infrastructure as Code (Terraform, CloudFormation, or similar)
    Docker
    Kubernetes
    Automation Framework Development
  • Cloud Platforms
    AWS
    Microsoft Azure
    Google Cloud Platform (GCP)
  • Observability & Monitoring
    Prometheus
    Grafana
    ELK Stack
    Splunk
    OpenTelemetry
  • Databases
    PostgreSQL
    MySQL
    SQL Server
    Oracle
  • Operating Systems
    Linux
    Unix

About the Company

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Saicon Consultants Inc