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

THE ROLE

We are seeking an industry-leading Principal Solution Architect to design the

architectural strategy for enterprise multi-cloud platforms and next-generation

AI initiatives at financial firms.

In this elite role, you will bring Obin’s agentic capabilities and land them

within the complex technical environments of leading financial institutions. You

will design distributed multi-cloud architectures (GCP, AWS, Azure) capable of

running high-throughput data pipelines, optimizing latency of LLM calls, and

orchestrating state-of-the-art Agentic AI workflows (collaborative multi-agent

protocols, generative storytelling, and autonomous task delegation). You are a

technical visionary who translates non-deterministic agentic capabilities and

complex distributed computing into robust production software.

KEY 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. Establish highly declarative environments using

Infrastructure as Code (Terraform) and advanced Kubernetes orchestration

(GKE, EKS).

* Distributed Enterprise Data Pipelines: 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).

* Technical Advocacy & Inner-Sourcing: Champion technical excellence by

publishing reusable blueprints, reference code architectures, and technical

documentation. Act as a cross-functional leader aligning research teams, core

engineering, and executive stakeholders.

REQUIRED SKILLS & EXPERIENCE

1. AGENTIC AI & GENERATIVE ENGINEERING

* Advanced AI Paradigms: Proven experience architecting multi-agent

orchestration frameworks, prompt-routing middleware, and self-correcting

agent loops.

* AI architectures: Experience with implementing RAG systems, agent harnesses,

deep research agents and other agentic workflows

2. MULTI-CLOUD & ENTERPRISE DATA FOUNDATIONS

* Distributed Systems: Expert-level knowledge running heavy analytical

workloads (e.g., Spark, Airflow) natively inside containerized ecosystems

(Kubernetes).

* Cloud Topologies: Comprehensive, production-level engineering experience

across at least two hyperscalers (GCP or AWS or Azure).

* Data Mechanics: Strong grasp of modern data storage paradigms, including

columnar storage, vector indexing, and automated data lake governance.

3. LEADERSHIP & VISION

* Experience acting as a CTO, Principal Architect, or Strategic Lead driving

large-scale digital transformations or public-sector AI cloud

implementations.

* Strong background in developer advocacy, open-source contributions, or

technical publication.