AI Platform Engineer
TPI Global Solutions
New York, NY, United States
2 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Application Integration Architecture
Microsoft Azure
Cloud Computing
Cloud Engineering
Continuous Integration
Information Engineering
DevOps
Software Engineering
Google Cloud
Cloud Platform System
+7 more
Retrieval-Augmented Generation
Large Language Models
Multi-Agent Systems
Prompt Engineering
Agentic-AI
AI Platforms
Information Technology
Requirements
- AWS Certified Cloud Practitioner
- Microsoft Azure Fundamentals
- Google Cloud Digital Leader, * Bachelor’s degree in IT, Computer Science, CIS, Software Engineering, Mathematics, Statistics, or related field, or equivalent experience.
- 3-10 years of experience in Platform Engineering, Software Engineering, Cloud Engineering, DevOps, Automation Engineering, or related technical disciplines.
- Experience designing, implementing, and scaling enterprise platform capabilities, shared services, automation solutions, and developer productivity platforms.
- Experience leading large-scale technical initiatives and influencing engineering strategy across multiple teams.
- Strong expertise in cloud-native architectures, platform engineering, automation, DevOps, and modern software delivery practices.
Key Skills
- Enterprise Platform Engineering Strategy & Architecture
- Platform Products, Shared Services & Engineering Ecosystems
- Platform Governance, Standards & Reference Architectures
- Developer Experience (DevEx) & Self-Service Platforms
- Intelligent Automation & AIDLC Transformation
- AI-Powered Engineering & Agentic Systems
- AI Agents, Agent Orchestration & Autonomous Workflows
- Cloud-Native Architecture & Platform Modernization
- DevOps, CI/CD & Engineering Productivity Platforms
- SRE & Operational Excellence
- Monitoring, Observability & Platform Intelligence
- Security, Governance & Compliance
- LLM Workflows, Prompt Engineering & Context Engineering
- MCP, RAG, Enterprise AI Platforms & AI Integration
- Technical Strategy, Cross-Functional Leadership & Influence, * Experience leading enterprise platform transformations, cloud modernization programs, developer experience initiatives, or AI-enabled engineering programs.
- Experience defining technology strategy and influencing organization-wide engineering standards and roadmaps.
- Certifications in cloud platforms, DevOps, platform engineering, software development, automation, AI/ML, or data engineering.
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