> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

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

Canonical URL: https://nextmove.md/fde/jobs/d9fe8130277fa32a

Obin AI posts a principal FDE role to build what the customer runs in New York, NY, at $220,000–$300,000 base, above the staff+ FDE median of $225,000 across 388 postings with pay. Design autonomous multi-agent ecosystems and secure A2A orchestration workflows. Read from the employer’s posting on November 8, 2026.

- [Obin AI](https://nextmove.md/fde/companies/obin-ai)

Posted Jul 7, 2026 by Obin AI · open on Gem as of Nov 8, 2026

**$220,000–$300,000** New York, NY Full-time

Design autonomous multi-agent ecosystems and secure A2A orchestration workflows.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fd9fe8130277fa32a&placement=top)
- [View posting at Obin AI](https://jobs.gem.com/obin-ai/am9icG9zdDpT1AHft93YZEZstYxnlDwc)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$220K–$300K Above the median

Midpoint $260K · median $225K

This job $220K to $300K. Staff+ FDE postings, 388 postings: the middle 50% of posted pay is $197K to $262K, median $225K.

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations (not covered)

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Staff+

- **Role**: Technical lead

### Do you meet what the posting states?

The posting reads as a staff-level role. What level are you at now?

The job is in New York, NY. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: New York, NY

- **Employment type**: Full-time

- **Pay**:

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## The job description from Obin AI

Posted by Obin AI on Jul 7, 2026

### Build the AI workforce that finance can actually trust.

### We are closing the gap between what AI promises and what regulated institutions can responsibly deploy.

### If you fall in love with hard problems — not easy answers — this is where your work matters.

### 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.

### Base compensation range

$220,000 - $300,000

Plus **Annual Bonus + Equity**

### About Us

Obin AI is an enterprise artificial intelligence company building the next generation of agentic intelligence for financial services. The company develops a production-ready AI workforce that runs defined workflows end-to-end inside a firm’s controls and audit boundaries, encoding institution-specific logic and producing traceable, inspectable outputs. Because of its open, no-lock-in architecture and ability to resolve even nuanced edge cases, Obin AI is trusted by leading global financial institutions representing over $1 trillion in assets under management. Obin AI enables these organizations to standardize and accelerate their core workflows — continuous monitoring, scalable underwriting, and earlier risk detection — without scaling teams or compromising governance. Founded by seasoned leaders from Google AI, JPMorgan and Silver Lake, Obin AI is reimagining how financial firms operate — deploying AI workers directly within live workflows to expand decision capacity under institutional controls.

Obin AI is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

[View posting at Obin AI](https://jobs.gem.com/obin-ai/am9icG9zdDpT1AHft93YZEZstYxnlDwc)

## About Obin AI

Obin builds production-grade, governed AI agents (Robins) and an end-to-end platform for regulated financial institutions to automate complex workflows inside their own cloud and control boundaries.

Seed · 10–50 people

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- [Compare staff+ FDE salary ranges](https://nextmove.md/fde/salary/staff)
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