Remote Senior AI Lead & Architect for Enterprise

Powerhouse Institute Inc

Washington (District of Columbia)

Remote

USD 155,000 - 189,000

Full time

2 days ago
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Job summary

Paylocity is seeking a Senior AI Software Engineer & Developer to lead hands-on development of large-scale AI systems for federal programs. This fully remote role requires strong Python expertise, cloud-native architecture, and strategic technical leadership across multiple programs.

The successful candidate will drive architecture, ML lifecycle, and MLOps practices while coordinating with senior stakeholders.

Qualifications

  • 12+ years of software engineering experience with senior leadership and enterprise architecture.
  • 8+ years of applied AI/ML experience including production systems.
  • Expert-level Python development with ML pipelines and microservices.
  • Experience with regulated federal environments and security compliance required.

Responsibilities

  • Lead the technical strategy, design, and delivery of large-scale AI systems for federal programs.
  • Define AI and application architecture across multiple programs.
  • Establish modernization roadmaps aligned to mission outcomes and compliance.
  • Architect scalable AI systems, cloud-native and hybrid deployments.
  • Drive cross-program technical decisions for interoperability and security.
  • Mentor and guide senior engineers and technical leaders.

Skills

Python
AI/ML systems
Cloud-native deployment
Microservices
DevSecOps practices
Distributed training
RESTful APIs
GPU-based infrastructure
Executive communication

Education

BS or MS degree in engineering/data science/computer science/statistics

Tools

LangChain
LlamaIndex
Semantic Kernel
AWS Bedrock
Azure OpenAI Service
Google Vertex AI

Job description

Paylocity is seeking a Senior AI Software Engineer & Developer to lead hands-on development of large-scale AI systems for federal programs. This fully remote role requires strong Python expertise, cloud-native architecture, and strategic technical leadership across multiple programs.

The successful candidate will drive architecture, ML lifecycle, and MLOps practices while coordinating with senior stakeholders.

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