AI Platform Engineer
Glint Tech Solutions
Reston, VA · Posted October 15, 2026
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Where Reston, VA ranks
Where Reston, VA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for operations pay after cost of living$177k · of 41
- #1Best all-round cities for remote workers in the Mid-Atlantic93 / 100 · of 37
- #1Best all-round cities for remote workers in the Southeast93 / 100 · of 33
- #2Best all-round cities for mid-career professionals in the Southeast75 / 100 · of 33
- #3Best cities for AI-skill jobs in the Southeast17% · of 87
- #3Best all-round cities for mid-career professionals in the Mid-Atlantic77 / 100 · of 37
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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How AI is used in this kind of work
Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
AI Platform Engineer
Company Overview
Glint Tech Solutions is a women-owned global staffing and IT recruiting firm connecting top technical talent with leading enterprise clients across the United States.
Project Description
Our client, a leading healthcare payor, is seeking an AI Platform Engineer to translate AI reference architectures into secure, scalable cloud configurations across Azure, MuleSoft, and Salesforce Agentforce. The role operationalizes platform standards, automates governance guardrails, and ensures all AI workloads meet enterprise security, compliance, and HIPAA requirements.
Key Responsibilities
Convert AI reference architectures into deployable cloud configurations using Terraform, Bicep, ARM, and CI/CD pipelines
Configure and operate Azure OpenAI, AI Foundry, AI Search, MuleSoft integration layers, Salesforce Agentforce, Anthropic, and OpenAI services
Build reusable platform components, landing zones, and environment promotion patterns (dev test prod)
Translate AI governance policies into technical controls — policy-as-code, Azure Policy, RBAC, network isolation, and data egress restrictions
Implement HIPAA, CMS, and Zero Data Retention compliance controls including audit logging and prompt/response logging
Deliver paved-path templates, starter kits, and self-service capabilities for development teams
Monitor platform health, capacity, and cost; support incident response and continuous improvement
Maintain platform documentation, runbooks, and architectural decision records
Mandatory Skills
5+ years of cloud platform engineering with 2+ years on Azure or comparable hyperscaler
Hands-on experience with Terraform/Bicep, Azure DevOps, GitHub Actions, and policy-as-code frameworks
Working knowledge of Azure OpenAI, AI Foundry, vector databases, and model gateways
Experience implementing technical controls for HIPAA, PCI, or similarly regulated environments
Strong understanding of identity, networking, encryption, and secrets management in cloud
Bachelor's degree in Computer Science, Engineering, or related field; equivalent experience considered
Nice-to-Have Skills
Hands-on experience across Azure, MuleSoft, and Salesforce Agentforce
Familiarity with NIST AI RMF, ISO 42001, RAG architectures, or agentic AI patterns
Healthcare payor or regulated industry background
Azure (AZ-305, AZ-400, AI-102), MuleSoft, or Salesforce Agentforce certifications