Obin Ai

Obin Ai

Principal Solution Architect (Multi-Cloud, Data & Agentic AI)

New York, USA · Principal

Sponsorship not specifiedDetected 15 days ago
Distributed SystemsBigQuerySnowflakeVector DatabasesAWSGCPAzureCloud PlatformsKubernetesTerraformSparkAirflowData EngineeringLLMsRAGAgentic AIAI OrchestrationResearchLeadership

About the role

  • In this elite role, you will bring Obin's agentic capabilities and land them within the complex technical environments of leading financial institutions.
  • You are a technical visionary who translates non-deterministic agentic capabilities and complex distributed computing into robust production software.

Responsibilities

  • Agentic AI & Collaborative Frameworks: Design and build autonomous, multi-agent ecosystems.
  • Implement cutting-edge agent-to-agent (A2A) orchestration protocols, enabling secure task delegation, runtime state handoffs, and collaborative workflows without context pollution.
  • Generative AI: Architect infrastructure to support sophisticated Generative AI applications, including Retrieval-Augmented Generation (RAG), voice agents, streaming agent output, and vector database routing.
  • Multi-Cloud Infrastructure & Kubernetes Mastery: Build, secure, and scale containerized applications and microservices topologies natively across Google Cloud, AWS, and Azure.
  • Design and build autonomous, multi-agent ecosystems.

Requirements

  • Required Skills & Experience 1.
  • Experience with implementing RAG systems, agent harnesses, deep research agents and other agentic workflows 2.
  • AI architectures: Experience with implementing RAG systems, agent harnesses, deep research agents and other agentic workflows 2.

Skills

  • Establish highly declarative environments using Infrastructure as Code (Terraform) and advanced Kubernetes orchestration (GKE, EKS).
  • Architect decoupled data ecosystem frameworks to ingest and shard massive streams of structured and unstructured data.
  • Run distributed processing engines like Apache Spark on Kubernetes alongside cloud-native data warehouses (BigQuery, Snowflake).
  • Proven experience architecting multi-agent orchestration frameworks, prompt-routing middleware, and self-correcting agent loops.
  • Expert-level knowledge running heavy analytical workloads (e.g., Spark, Airflow) natively inside containerized ecosystems (Kubernetes).
  • Comprehensive, production-level engineering experience across at least two hyperscalers (GCP or AWS or Azure).

Benefits

  • Leadership & Vision Experience acting as a CTO, Principal Architect, or Strategic Lead driving large-scale digital transformations or public-sector AI cloud implementations.
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