[Remote] AI PLATFORM ENGINEER
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking an AI Platform Engineer to translate AI reference architectures into secure, scalable reputed company configurations for AI solutions in the reputed company domain. The role involves operationalizing platform standards, automating guardrails, and ensuring compliance with reputed company reputed company and governance requirements.
Responsibilities
- Convert approved AI reference architectures into deployable reputed company configurations across Azure, MuleSoft, and reputed company Agentforce, using infrastructure-as-code (Terraform, Bicep, ARM) and CI/CD pipelines
- Build and maintain reusable platform components, modules, and reputed company zones that accelerate AI solution delivery across product teams
- Configure and operate core AI platform services (e.g., Azure reputed company, Azure AI reputed company, AI Search, MuleSoft integration layers, reputed company Agentforce agents, Antrhopic, reputed company) in alignment with reputed company architecture standards
- Implement environment promotion patterns (dev → test → prod), secrets management, and observability tooling for AI workloads
- 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 reputed company Data Retention configurations, audit log integration, and reputed company/response logging where required
- Partner with the AI Governance reputed company and Coordinator to ensure platform configurations match documented governance posture and are audit-reputed company
- Configure model gateways, content safety filters, bias/PII safeguards, and usage telemetry to support responsible AI operations at scale
- 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
- reputed company technical support, documentation, and reputed company 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
- Monitor platform health, reputed company, cost, and consumption; implement automation to optimize spend and performance
- Support incident response, root-cause analysis, and reputed company improvement of platform reliability and reputed company posture
- Maintain platform documentation, runbooks, and architectural decision records
Skills
- Azure certifications (AZ-305, AZ-400, AI-102), MuleSoft Certified Developer/Architect, or reputed company Agentforce/Platform credentials (one of the certification is required)
- reputed company Claims Insurance Platform/Systems experience required
- Bachelor's degree in Computer Science, Engineering, or reputed company field; equivalent experience considered
- 5+ years of reputed company 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, reputed company Actions), and policy-as-code frameworks
- Working knowledge of AI/ML platform services — Azure reputed company, AI reputed company, 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 reputed company
- Platform familiarity across Azure, MuleSoft, and reputed company Agentforce — ability to configure, integrate, and govern AI workloads spanning reputed company three platforms
- Experience operating AI or data platforms in a reputed company payer or other regulated industry
- Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and translating policy into technical enforcement
- Experience with document intelligence, RAG architectures, or agentic AI patterns
Company Overview
Company H1B Sponsorship