Cloud Agentic AI Platform Engineer / Architect

NTT DATA Services•Charlotte, NC

19h•$102,675 - $175,125•Remote

About The Position

We are seeking a hands-on Cloud Agentic AI Platform Engineer / Architect to design, build, and scale enterprise-grade Agentic AI platforms that enable intelligent automation, autonomous workflows, and AI-powered business solutions across the organization. This role is responsible for defining and implementing the foundational platform capabilities that support AI agents, including agent runtimes, orchestration frameworks, developer tooling, platform services, observability, governance, and scalable cloud infrastructure. The ideal candidate combines deep expertise in AI platform engineering, cloud-native architectures, distributed systems, and modern Agentic AI ecosystems to create reusable, production-ready capabilities that accelerate AI adoption across application teams.

Requirements

10+ years of software engineering, cloud platform engineering, or platform architecture experience.
5+ years leading large-scale cloud-native platform initiatives.
5+ years experience designing and delivering production-grade AI, GenAI, or Agentic AI platforms at enterprise scale.
5+ years strong experience designing and building enterprise-scale Agentic 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 Agentic 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.

Nice To Haves

Experience building enterprise Agentic 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.

Responsibilities

Design, build, and scale enterprise-grade Agentic AI platforms.
Enable intelligent automation, autonomous workflows, and AI-powered business solutions.
Define and implement foundational platform capabilities for AI agents, including agent runtimes, orchestration frameworks, developer tooling, platform services, observability, and governance.
Ensure scalable cloud infrastructure is in place.
Create reusable, production-ready capabilities to accelerate AI adoption.