Sr. Staff AI Engineering

Title: Sr. Staff AI Engineer
Location: Remote (EST working hours)
Duration: 5 month Contract-to-Hire
Compensation Range: $81-$104/hr W2


Overview
This team does not currently have dedicated AI Engineers, so this person will come in as one of the highest-level individual contributors on the AI side. The role is highly hands-on, but also requires leadership and cross-functional influence.


You'll partner closely with leadership and business teams to design and build scalable AI capabilities across the organization - helping connect systems, workflows, and teams into practical AI-driven solutions.


This is not a pure research role. They need someone who can actually build, operationalize, and scale AI products in production environments.

What They're Looking For

• Strong hands-on engineering background with deep AI experience
  
  
• Someone who has successfully implemented AI solutions in enterprise environments
  
  
• Experience building and operationalizing AI agents, LLM workflows, and intelligent systems
  
  
• Comfortable working closely with AI architects while owning execution and delivery
  
  
• Able to work independently without heavy direction
  
  
• Strong understanding of governance, controls, and responsible AI practices
  
  
• Focused on making AI productive and usable within the business
  
  

Must-Have Experience

• 10 years of software engineering experience
  
  
• 3-5 years focused on AI/ML, intelligent systems, or data-intensive applications
  
  
• 2-3 years delivering AI/ML solutions in AWS environments
  
  
• Strong Python development experience
  
  
• Experience with AWS AI services including Bedrock, SageMaker, and serverless architectures
  
  
• Experience with enterprise LLM systems, including:
  • RAG architectures
    
    
  • Vector databases/search
    
    
  • Prompt engineering
    
    
  • LLM evaluation and integrations
    
    
• Experience building and deploying AI agents / agentic workflows
  
  
• Experience integrating with enterprise platforms like Workday and ServiceNow
  
  
• Understanding of governance, observability, metadata, lineage, and access controls
  
  
• Experience working with unstructured data and document intelligence solutions