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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Agentic AI Platform Engineer / Architect - **Company:** Data Wave Technologies Inc - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computing Platforms, Application Release Automation, Microsoft Azure, Cloud Engineering, Cloud Foundry, Continuous Integration, Data Security, DevOps, Distributed Data Store, Monitoring of Systems, Identity and Access Management, Python (Programming Language), MongoDB, OpenShift, Redis, Software Engineering, Cloud Platform System, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Multi-Cloud, Caching, Event Driven Architecture, Containerization, AI Platforms, Git Flow, Kubernetes, Low-code, Machine Learning Operations, Terraform, Microservices - **Published:** August 21, 2026 - **Apply:** https://www.dice.com/job-detail/12174f32-aee6-4c35-afd6-78a93dc1ca09 ## About the Role * 5 years strong experience designing and building enterprise-scale AI platforms, including agent runtimes, orchestration engines, developer frameworks, and platform services. * 5 years of expertise in cloud-native architecture, Kubernetes/OpenShift, microservices, APIs, event-driven systems, and scalable distributed platforms. * 5 years of hands-on experience with hyperscaler AI offerings such as Google ADK / Agent Engine, Vertex AI, Azure AI Foundry, AWS Bedrock Agents, MCP ecosystems. * 5 years of deep understanding of LLMs, reasoning models, tool calling, agent frameworks, RAG architectures, model evaluation, prompt engineering, inference optimization. * 5 years of experience building reusable SDKs, developer platforms, low-code/no-code solutions, workflow automation capabilities, and self-service experiences. * 5 years of strong DevOps and Platform Engineering expertise, including CI/CD, GitOps, Terraform, containerization, release automation, monitoring and observability, production operations. * 5 years of experience with distributed data technologies including MongoDB, Redis, vector databases, caching platforms, session state management, high-performance AI data access patterns. * 5 years of knowledge of AI platform governance, observability, security, guardrails, identity management, resiliency, and enterprise production operations. * 5 years of strong software engineering skills in Python and/or Java. * 5 years of demonstrated experience leading architecture, technical design, and engineering decisions for complex enterprise platforms. Preferred Qualifications:- * Experience building enterprise AI platforms in regulated environments. * Knowledge of multi-agent architectures and autonomous workflow systems. * Experience deploying and operating AI solutions across multi-cloud environments. * Familiarity with enterprise AI governance frameworks and responsible AI practices. * Experience building internal developer platforms and platform-as-a-product initiatives. * Exposure to MLOps, LLMOps, and AI lifecycle management tools and processes. Experience Level:- * 10 years of software engineering, cloud platform engineering, or platform architecture experience. * 5 years leading large-scale cloud-native platform initiatives. * Proven experience designing and delivering production-grade AI, GenAI, or AI platforms at enterprise scale. ## Related Videos - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Event based cache invalidation in GraphQL](https://www.wearedevelopers.com/videos/433-event-based-cache-invalidation-in-graphql) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) ## Related Articles - [Got AI ideas but no money? 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