Senior AI Platform Engineer – Enterprise AI & MLOps |Remote

Vaco

Irving (TX)

On-site

USD 144,000 - 195,000

Full time

14 days+
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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
401(k) retirement plan

Job summary

Vaco is seeking a Senior AI Developer (Palantir AI Platform) for a Direct‑Hire opportunity that may be performed remotely with travel to Irving, TX approximately 1‑2 times per month. The Senior AI Developer will own the complete lifecycle of enterprise AI initiatives, identifying valuable use cases, designing architectures, and deploying production-grade AI applications in cloud environments.

You will operate at the intersection of AI Engineering, Software Development, Cloud Engineering, MLOps,

Qualifications

  • 7+ years of production enterprise Python development with AI/ML solutions.
  • Experience with Palantir Foundry or similar enterprise AI platforms.
  • Designing and deploying AI/ML pipelines and production systems.
  • Experience across Azure AI Foundry / Microsoft Fabric or similar clouds.
  • Ability to translate business problems into AI-focused solutions.

Responsibilities

  • Design scalable enterprise AI architectures and deploy production AI apps.
  • Partner with business leaders to identify high-value AI opportunities and drive adoption.
  • Develop ML models and LLM apps with CI/CD, monitoring, and governance.
  • Build AI solutions across Azure, AWS, and GCP and ensure security and compliance.
  • Lead technical discussions with executives and mentor developers.

Skills

Python
Palantir Foundry
LLM Development
MLOps
Cloud Platforms
Data Engineering
Business Enablement

Job description

Vaco is seeking a Senior AI Developer (Palantir AI Platform) for a Direct‑Hire opportunity that may be performed remotely with travel to Irving, TX approximately 1‑2 times per month. The Senior AI Developer will own the complete lifecycle of enterprise AI initiatives, identifying valuable use cases, designing architectures, and deploying production-grade AI applications in cloud environments.

You will operate at the intersection of AI Engineering, Software Development, Cloud Engineering, MLOps,

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