AI Platform Engineer

Ampcus, Inc; Reston (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Ampcus Inc. is seeking an AI Platform Engineer to translate AI reference architectures into secure, scalable cloud configurations that enable development teams to build and operate AI solutions in a regulated healthcare environment.

Reporting into the AI Platform team, this role will automate guardrails, enforce enterprise security, compliance, and governance, and collaborate with architects to deliver platform capabilities that empower product teams.

Qualifications

• Bachelor's degree or equivalent in CS, engineering, or related field.
• 5 years of cloud platform engineering experience, with 2 years on Azure.
• Hands-on with IaC (Terraform/Bicep) and CI/CD (Azure DevOps, GitHub Actions).
• Experience with AI/ML platform services and regulated environments (HIPAA/PCI).
• Strong security, identity, networking, and secrets management in the cloud.

Responsibilities

• Translate AI reference architectures into deployable cloud configurations across Azure services.
• Build reusable platform components and landing zones for AI delivery.
• Configure AI platform services (Azure OpenAI, AI Foundry, MuleSoft, Salesforce Agentforce) per standards.
• Implement policy-as-code, governance controls, and audit-ready configurations.
• Provide developer enablement through templates, starter kits, and documentation.
• Monitor platform health, cost, and reliability; assist incident response and runbooks.

Skills

Cloud platform engineering

Education

Bachelor's degree in CS or related field

Tools

Terraform

Bicep

ARM

Azure DevOps

GitHub Actions

Policy-as-code

Azure Policy

Job description

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: AI Platform Engineer - 50092-1

Location(s): 100% Remote

Duration: 6 Months

Job Summary:

The AI Platform Engineer translates AI reference architectures into secure, scalable cloud configurations that enable development teams to build and operate AI solutions in a regulated healthcare environment. Reporting into the AI Platform team and working closely with the Lead AI Platforms (Domain Architect), this role operationalizes platform standards, automates guardrails, and ensures every AI workload deployed meets enterprise security, compliance, and governance requirements.

Key Responsibilities:

• Platform Engineering & Cloud Configuration
  • Convert approved AI reference architectures into deployable cloud configurations across Azure, MuleSoft, and Salesforce Agentforce, using infrastructure-as-code (Terraform, Bicep, ARM) and CI/CD pipelines.
  • Build and maintain reusable platform components, modules, and landing zones that accelerate AI solution delivery across product teams.
  • Configure and operate core AI platform services (e.g., Azure OpenAI, Azure AI Foundry, AI Search, MuleSoft integration layers, Salesforce Agentforce agents, Antrhopic, OpenAI) in alignment with enterprise architecture standards.
  • Implement environment promotion patterns (dev test prod), secrets management, and observability tooling for AI workloads.
• Governance & Guardrails Enablement
  • Translate AI governance policies (risk tiering, model approval, PHI/PII handling, audit logging) into enforceable technical controls - policy-as-code, Azure Policy, RBAC, network isolation, and data egress restrictions.
  • Implement controls that enforce HIPAA, CMS, and internal compliance requirements for AI solutions, including Zero Data Retention configurations, audit log integration, and prompt/response logging where required.
  • Partner with the AI Governance Lead and Coordinator to ensure platform configurations match documented governance posture and are audit-ready.
  • Configure model gateways, content safety filters, bias/PII safeguards, and usage telemetry to support responsible AI operations at scale.
• Developer Enablement
  • Deliver paved-path templates, starter kits, and self-service capabilities that allow product and engineering teams to build AI solutions safely without recreating platform components.
  • Provide technical support, documentation, and office hours to development teams consuming the AI platform.
  • Collaborate with Consultant Product Owners and platform architects to translate solution requirements into platform capabilities and backlog items.
• Operations & Reliability
  • Monitor platform health, capacity, cost, and consumption; implement automation to optimize spend and performance.
  • Support incident response, root-cause analysis, and continuous improvement of platform reliability and security posture.
  • Maintain platform documentation, runbooks, and architectural decision records.

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field; equivalent experience considered.
• 5 years of cloud platform engineering experience, with 2 years focused on Azure (or comparable hyperscaler).
• Hands-on experience with infrastructure-as-code (Terraform/Bicep), CI/CD pipelines (Azure DevOps, GitHub Actions), and policy-as-code frameworks.
• Working knowledge of AI/ML platform services - Azure OpenAI, AI Foundry, vector databases, model gateways, or equivalent.
• Experience implementing technical controls for regulated data environments (HIPAA, PCI, or similar).
• Strong understanding of identity, networking, encryption, and secrets management patterns in the cloud.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.