AI Platform Engineer

System One
United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$116,480.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Audit Trail Microsoft Azure Cloud Computing Security Key Management Azure Machine Learning Salesforce.Com Policy as Code AI Platforms Information Technology Bicep
+2 more
Terraform Mulesoft

Job description

We’re looking for an experienced AI Platform Engineer to help bring AI architectures to life in a secure, scalable cloud environment. In this role, you’ll work closely with platform architects to build and enable AI solutions that meet enterprise standards for security, compliance, and governance-especially within a regulated healthcare setting.

You’ll play a key role in engineering reusable platform components, automating guardrails, and empowering development teams to deliver responsible AI solutions at scale., * Enable Governance & Guardrails: Implement policy-as-code, security controls, and compliance requirements (e.g., data protection, audit logging, access controls) to ensure all AI workloads meet regulatory and enterprise standards.

  • Support Developers: Create templates, starter kits, and self-service tools that enable teams to build AI solutions quickly and safely. Provide documentation and hands-on support as needed.
  • Ensure Reliability & Performance: Monitor platform health, usage, and cost; support incident response and continuous improvements; and maintain documentation, runbooks, and standards.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
  • 5+ years of cloud/platform engineering experience, including 2+ years with Azure (or similar)
  • Hands-on experience with infrastructure-as-code (Terraform, Bicep), CI/CD pipelines, and cloud security practices
  • Working knowledge of AI/ML services (e.g., Azure OpenAI, vector databases, model APIs)
  • Experience supporting regulated environments (e.g., HIPAA, PCI)
  • Strong understanding of cloud identity, networking, encryption, and secrets management, * Experience across Azure, MuleSoft, and Salesforce ecosystems
  • Background in healthcare or other regulated industries
  • Familiarity with AI governance frameworks (e.g., NIST AI RMF, ISO 42001)
  • Experience with RAG architectures, document intelligence, or agent-based AI
  • Relevant certifications (Azure, MuleSoft, Salesforce)

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients but also offers eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:08 min

Structuring a three-tier API architecture in MuleSoft

Nils Hünerberg · WWC 2023

2:56 min

Provisioning a secure container infrastructure with Bicep

Matthias Falkenberg +1 · WWC 2022

1:34 min

Essential commands for running and testing Terraform configurations

Hennie Francis · LIVE

3:45 min

Fusing developer experience and platform engineering for agentic SDLC

Julia Kordick Julia Kordick · WWC Europe 2026

4:09 min

Selecting infrastructure tools and determining proper abstraction layers

Alayshia Knighten Alayshia Knighten · WWC 2024

1:34 min

Pivoting careers into specialized platform engineering roles

Xavier Portilla Edo · LIVE

Videos

See all

Related articles

See all