Cloud Agentic AI Consultant

Role: Cloud Agentic AI Consultant

We need a resource with stronger experience in building enterprise AI/Agentic platforms, including platform architecture, orchestration frameworks, developer tooling, and cloud-native platform engineering. We also need additional capacity to support the volume and complexity of work currently planned.

Required Skills

·        Strong experience designing and building enterprise-scale Agentic AI platforms, including agent runtimes, orchestration engines, developer frameworks, and platform services.

·        Expertise in cloud-native architecture, Kubernetes/OpenShift, microservices, APIs, event-driven systems, and scalable distributed platforms.

·        Hands-on experience with hyperscaler agentic AI offerings such as Google ADK/Agent Engine, Vertex AI, Azure AI Foundry, AWS Bedrock Agents, and MCP ecosystems.

·        Deep understanding of LLMs, reasoning models, tool calling, agent frameworks, RAG, model evaluation, prompt engineering, and inference optimization.

·        Experience building reusable SDKs, low-code/no-code developer experiences, workflow automation platforms, and self-service capabilities for application teams.

·        Strong DevOps and platform engineering experience, including CI/CD, GitOps, Infrastructure as Code (Terraform), containerization, release automation, monitoring, and production operations.

·        Experience with distributed data platforms including MongoDB, Redis, Vector Databases, caching architectures, session state management, and high-performance data access patterns for AI applications.

·        Knowledge of platform observability, governance, security, guardrails, identity, resiliency, and production operations for enterprise AI systems.

·        Strong software engineering skills in Python and/or Java with experience leading architecture and technical design for complex platforms.