Software Engineer - AI PLATFORM ENGINEER | Onsite | Addison, TX / Charlotte

Posted 24 Days Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
48K-168K Annually
Expert/Leader
Agency • Information Technology
The Role
Build and operate an on-prem AI platform (Model-as-a-Service) including RAG pipelines, vector DBs, MCP tooling, agent repositories, CI/CD integration, and guardrails within MRM. Optimize large on-prem GPU infrastructure and translate business use cases into scalable platform services.
Summary Generated by Built In

Role Overview 

We are looking for an AI Platform Engineer—a builder who can architect the "factory" where AI is made. 

Our goal is to build an internal, on-premises AI ecosystem that mimics the capabilities of AWS or Azure. You will be responsible for creating a horizontal platform used by various lines of business to deploy AI projects simultaneously.  

Key Responsibilities 

  • Platform Architecture: Design and develop a "Model-as-a-Service" platform that allows non-experts to use drag-and-drop components to build AI solutions. 
  • RAG-as-a-Service: Build and optimize end-to-end Retrieval-Augmented Generation (RAG) pipelines, including sophisticated chunking strategies and vector database management. 
  • Tooling & Libraries: Develop and maintain MCP (Model Control Protocol) libraries, clients, and servers to connect various data sources to the AI engine. 
  • Infrastructure Management: Help manage and optimize one of the largest on-premise GPU farms in the U.S. banking sector (500+ Nvidia nodes). 
  • Agentic AI: Build a repository for Agentic AI where users can select existing agents or build custom ones for specialized tasks. 
  • CI/CD Integration: Integrate AI deployment pipelines with enterprise-level CI/CD tools like Jenkins and Ansible. 
  • Compliance & Guardrails: Implement corporate-level guardrails and work within Model Risk Management (MRM) frameworks to ensure all AI deployments are secure and compliant. 

Required Technical Skills 

  • Expert Python: Deep, hands-on knowledge is mandatory. 
  • Data Engineering: Extensive experience in massive data ingestion and processing. 
  • RAG Expertise: Deep understanding of vector databases, inferencing, and advanced chunking strategies. 
  • Platform Engineering: Proven experience building tools/platforms that other developers or business units use. 
  • Infrastructure Knowledge: Experience mimicking cloud capabilities (AWS/Azure) within a strictly on-premise environment. 
  • DevOps: Familiarity with Jenkins, Ansible, and automated deployment pipelines. 

Experience & Qualifications 

  • Seniority: This is a senior-level role. We are looking for someone with a proven track record of building production-grade platforms (10-15+ years) 
  • Industry Knowledge: You must stay current with the "latest and greatest" in AI (e.g., rag-less inferencing, agentic frameworks). 
  • Problem Solver: Must be able to take a use case from a business unit and translate it into a scalable platform service. 
  • Experience with Scale: Experience working with large-scale GPU farms and high-volume data environments is highly preferred. 

Compensation, Benefits and Duration

Minimum Compensation: USD 48,000
Maximum Compensation: USD 168,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

Skills Required

  • Expert Python programming
  • Extensive data engineering for massive ingestion and processing
  • Deep RAG experience including vector databases, inferencing, and chunking strategies
  • Platform engineering experience building developer-facing platforms and tools
  • Infrastructure experience mimicking cloud (AWS/Azure) in strictly on-premise environments
  • DevOps familiarity with Jenkins and Ansible and automated deployment pipelines
  • Experience working with large-scale GPU farms (Nvidia nodes) and high-volume data environments
  • Experience implementing compliance, corporate guardrails, and working within Model Risk Management frameworks
  • Proven track record building production-grade platforms (10-15+ years experience)
  • Familiarity with agentic AI frameworks and ability to build agent repositories
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The Company
HQ: London
5,017 Employees
Year Founded: 2007

What We Do

Photon.com has emerged as one of the world’s largest and fastest-growing Digital Agencies. We work with 40% of the Fortune 100 on their Digital initiatives and are known for our ability to integrate Strategy Consulting, Creative Design, and Technology at scale. Please visit www.photon.com to learn more about us, how we work, and our customer case studies. Digital Transformation Starts Here.

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