Principal AI Platform Engineer Applied AI & Multicloud

San Leandro, CA

$16.90–$64.28 Per Hour
Instant Apply

1 day ago

Job Description

Our Client, an IT Services and Consultant company, is looking for a Principal AI Platform Engineer – Applied AI & Multicloud for their San Leandro, CA/ Pittsburgh, PA/ Scottsdale, AZ location.

Responsibilities:

Design, build, deploy, and operate AI-enabled services, APIs, connectors, libraries, automations, and reusable platform assets.
Apply Generative AI, LLMs, RAG, agents, orchestration, vector search, evaluation, grounding, safety, monitoring, and cost controls to production use cases.
Architect cloud-native services using C#, .NET, ASP.NET Core, REST APIs, microservices, containers, Kubernetes, serverless computing, event-driven patterns, and secure service design.
Lead or contribute to Azure and AWS platform engineering across identity, data, messaging, API management, infrastructure-as-code, CI/CD, observability, and operational readiness.
Design and execute cloud migrations, including Azure-to-AWS scenarios, with attention to portability, provider dependencies, data, networking, resilience, cost, cutover, and rollback.
Solve production challenges involving reliability, latency, security, compliance, performance, scalability, and supportability using telemetry, profiling, benchmarks, and load testing.
Build solutions for industrial and operational data, including time-series data, historians, SCADA/OT, MES, ERP/EAM integration, digital twins, and edge-to-cloud interoperability.
Use AI-assisted engineering for codebase analysis, modernization, refactoring, migration, performance investigation, and test generation, with measurable validation and human review. Page 1 Principal AI Platform Engineer How
Influence architecture and engineering decisions across complex product initiatives.
Coach engineers and architects, strengthen engineering practices, and raise quality without relying on direct people-management authority.
Translate recurring customer needs, implementation friction, and product gaps into reusable assets, reference implementations, and actionable Product and R&D; recommendations.
Communicate complex technical concepts clearly to engineers, architects, customers, Product, R&D;, and senior stakeholders.

Requirements:

Typically 10-14 years of relevant experience, or equivalent demonstrated capability, in software engineering, applied AI, cloud or platform engineering, industrial software, or complex product engineering.
Recognized expertise in applied AI, supported by substantial hands-on experience in cloud-native software, platform engineering, or distributed systems.
Deep practical experience with modern backend engineering, preferably C#, .NET, ASP.NET Core, APIs, microservices, containers, observability, and secure design.
Advanced experience with Azure and AWS across compute, containers or Kubernetes, serverless, databases, storage, messaging, identity, secrets, API management, monitoring, infrastructure-as-code, and CI/CD.
Experience designing production AI systems using LLMs, RAG, agents, vector search, evaluation, grounding, safety, latency, cost, and monitoring practices.
Experience with cloud migration and multicloud portability, including provider-specific dependencies, identity, networking, data movement, resilience, phased cutover, and rollback.
Strong understanding of industrial and operational environments, including time-series data, SCADA/OT, historians, MES, ERP/EAM integration, digital twins, and edge/cloud interoperability.
Strong engineering judgment across architecture, coding, testing, security, observability, deployment, release readiness, maintainability, versioning, documentation, and operational handover.
Highly Desirable:
Experience designing, evaluating, and operating agentic systems that automate SDLC activities such as requirements analysis, implementation, code review, test generation and execution, dependency upgrades, and release preparation.
Experience integrating agents with source control, CI/CD, and engineering tools using scoped permissions, human approval gates, auditable actions, and safeguards for proprietary code and credentials.
Experience operating AI workloads in regulated, high-availability, industrial, or mission-critical environments.
What Success Looks Like You deliver secure, production-ready AI capabilities and reusable engineering assets; improve cloud portability and operational readiness; and demonstrate measurable gains in engineering productivity, software performance, reliability, and customer value.
This role is designed for a principal-level technical leader who remains meaningfully hands-on.
It is not primarily a people-management position.
Top Skills:
Applied AI | Cloud Platforms | Industrial Software | Multicloud Engineering
Years of Experience: 14.00 Years of Experience

Why Should You Apply?

Excellent growth and advancement opportunities

Why Should You Apply?

Numbers & Facts

Location	San Leandro, CA
Salary	$16.90–$64.28 Per Hour

Skills

Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Benchmarkingunmatched
Cloud Architectureunmatched
Cloud Computingunmatched
Coachingunmatched
Code Reviewsunmatched
Computer Networksunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Cost Controlunmatched
Distributed Computingunmatched
Documentationunmatched
ERP (Enterprise Resource Planning)unmatched
Event-driven Computingunmatched
Health Planunmatched
High Availabilityunmatched
Industrial Engineeringunmatched
Information Technology Consultingunmatched
Interoperabilityunmatched
Load Testingunmatched
Microservicesunmatched
Microsoft .NETunmatched
Microsoft ASP.NET (Active Server Page)unmatched
Microsoft C# (C Sharp)unmatched
Microsoft Windows Azureunmatched
Performance Testingunmatched
Product Engineeringunmatched
Product Programsunmatched
Production Costingunmatched
Production Systemsunmatched
REST (Representational State Transfer)unmatched
Refactoringunmatched
Requirements Managementunmatched
Research & Development (R&D)unmatched
Search Agentunmatched
Search Rankingunmatched
Software Development Lifecycle (SDLC)unmatched
Software Engineeringunmatched
Source Code/Configuration Management (SCM)unmatched
Supervisory Control and Data Acquisition (SCADA)unmatched
Technical Leadershipunmatched
Telemetryunmatched
Testingunmatched
Use Casesunmatched

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