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Remote Domain Registrar Jobs (NOW HIRING)

$91K - $111K/yr

... domain name registries. Additionally this role represents the organization's collaboratively ... Remote work tools such as Zoom, Webex Teams, MS Office.

Our domain knowledge is augmented by AI and machine learning technologies to create a unique view ... Use shared eval frameworks, prompt registries, and model gateways. Provide feedback loops to ...

Staff Data Architect (Remote)

Menomonee Falls, WI · On-site +1

$64 - $82.25/hr

... data contracts, domain ownership & quality expectations, and design patterns that ensure ... registries, or equivalent), and embedding these capabilities into engineering workflows.

$58.50 - $75.25/hr

... registries, or equivalent), and embedding these capabilities into engineering workflows ... Experience working in domain-oriented or federated data ownership models (e.g., data mesh or ...

Remote Our client seeks a Senior Developer to design, build, and maintain backend services in Rust ... registries, Avro/Protobuf/JSON Schema, replayable projection pipelines, domain-driven design, high ...

Senior Infrastructure Engineer

New York, NY · On-site +1

$200K - $260K/yr

We are open to US remote and have an office in New York City. First 30 days: Learn the ... Own an infrastructure domain and raise the bar * Take ownership of an infrastructure area: CI/CD ...

Our domain knowledge is augmented by AI and machine learning technologies to create a unique view ... Develop model routing, prompt registry, and orchestration services for multi-model workflows.

Our domain knowledge is augmented by AI and machine learning technologies to create a unique view ... Exposure to model registry and promotion workflows. * Familiarity with data quality, lineage, and ...

Enterprise Solutions Engineer

Baltimore, MD · On-site +1

$106K - $132K/yr

We are flexible on remote work from home if you are located in the USA and reside in one of the ... Proficiency in Windows environments (registry, services, performance troubleshooting)

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How much do remote domain registrar jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for remote domain registrar in the United States is $21.34, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.56 per hour, depending on experience, location, and employer.

What is a Remote Domain Registrar?

A Remote Domain Registrar is a company or organization that allows users to register, manage, and renew domain names over the internet, without the need for in-person interaction. These registrars act as intermediaries between customers and the organizations responsible for managing domain name systems, such as ICANN. Remote domain registrars provide online platforms for searching, purchasing, and administrating domains, often offering additional services like domain privacy, DNS management, and website hosting. Working with a remote registrar is convenient and allows individuals and businesses to secure and control their website addresses from anywhere in the world.

What are some common challenges faced by Remote Domain Registrars, and how can they be managed?

Remote Domain Registrars often face challenges such as staying updated with evolving domain regulations, managing a high volume of client requests across different time zones, and ensuring robust cybersecurity to protect client data. Effective time management, leveraging automation tools, and maintaining clear communication channels with clients and registry partners are key strategies for success. Additionally, participating in ongoing training and industry forums helps registrars stay informed and compliant with changing policies.

What are the key skills and qualifications needed to thrive as a Remote Domain Registrar, and why are they important?

To thrive as a Remote Domain Registrar, you need a solid understanding of domain registration processes, internet protocols (like DNS), and customer account management, often supported by experience in IT or web hosting industries. Familiarity with domain management platforms, registrar systems (such as WHMCS or cPanel), and industry regulations (like ICANN policies) is typically required. Strong communication, problem-solving, and attention to detail are essential soft skills to effectively assist clients and resolve technical issues. These skills and qualities are crucial for ensuring smooth domain operations, regulatory compliance, and high-quality customer service in a competitive digital environment.
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Director, AI Architecture & Engineering - US Remote

Director, AI Architecture & Engineering - US Remote

Hexion, Inc.

OH • On-site, Remote

Full-time

Posted 3 days ago


Job description

Company Overview
Imagine Everything. Build the Future with Hexion.
At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress-developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.
This is where bold thinkers, problem-solvers, and innovators come together to shape what's next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.
We don't follow the status quo-we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger.
We invest in innovation, sustainability, and continuous development-equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.
Your Future Starts Here.
If you're ready to push limits, reimagine what's possible, and create the extraordinary, Hexion is where you belong.
Anything is possible when you imagine everything.
Role Mission
Own the full-stack AI engineering and architecture foundation that powers Hexion's CaaS transformation. Design, build, and operate the enterprise AI platform - spanning data infrastructure, ML/LLM
pipelines, agentic systems, MLOps, and AI governance - that enables every domain (Commercial, R&D, Manufacturing, Supply Chain) to deploy production-grade AI at speed.
Job Responsibilities
  • Define and own Hexion's enterprise AI architecture: multi-agent frameworks, LLM/GenAI platforms, ML pipelines, data
    layer, and integration patterns across SAP S/4HANA, Salesforce, OSIsoft PI, and cloud environments (Azure/AWS).
  • Build and scale the agentic AI platform: multi-agent orchestration (LangGraph/CrewAI), RAG pipelines, tool-calling
    frameworks, guardrails, and human-in-the-loop controls for autonomous workflows across business functions.
  • Establish and operate enterprise MLOps: model registry, CI/CD for AI, model versioning, drift monitoring, inference
    optimization, and closed-loop retraining pipelines - ensuring all models are production-grade and auditable.
  • Architect the data foundation for AI: feature stores, semantic/vector layers, real-time streaming (Kafka/event-driven), data
    quality pipelines, and synthetic data generation for specialty chemicals use cases.
  • Lead AI security and responsible AI engineering: prompt injection defense, model explainability (XAI), bias detection,
    access controls, and compliance with enterprise data policy and regulatory requirements (REACH, GHS, SOX).
  • Serve as the technical authority connecting AI CoE, IT, domain teams (R&D, commercial, manufacturing), and external
    vendors - translating business requirements into scalable AI system designs.
  • Evaluate and manage AI technology vendors, cloud providers, and open-source frameworks; make strategic
    buy/build/partner decisions for the AI stack with clear cost, capability, and risk analysis.
  • Build and lead the AI engineering team: ML engineers, data engineers, LLM engineers, MLOps specialists, and AI
    platform engineers - hiring, mentoring, and creating a culture of engineering excellence.
  • Champion engineering standards: modular/reusable AI solution patterns, API-first design, observability, SRE practices for
    AI systems, and documentation to accelerate cross-functional deployment.
  • Drive Hexion's Perception Intelligence, Predictive Modeling, and Adaptive Closed-Loop Control capabilities - including
    sensor fusion from OSIsoft PI, digital twin integration, and process optimization AI for manufacturing.
  • Own the AI infrastructure roadmap - balancing rapid experimentation and disciplined production delivery - and report
    engineering KPIs, platform reliability, and build-vs-buy decisions to VP/Director, AI Transformation (Sambit).

Knowledge, Skills, Attributes and Experience (KSAEs)
  • 10+ years in AI/ML engineering, data engineering, or enterprise architecture; 3+ years in a senior technical leadership role owning an AI platform or engineering
    team.
  • Deep expertise in GenAI/LLM systems: RAG, fine-tuning, prompt engineering, agentic frameworks (LangGraph, CrewAI, AutoGen), and multi-agent
    orchestration at enterprise scale.
  • MLOps mastery: model lifecycle management, CI/CD for ML, drift monitoring, feature stores, model registries (MLflow, Kubeflow, SageMaker, Azure ML), and
    inference optimization.
  • Cloud-native AI infrastructure: Azure/AWS AI services, containerized ML workloads (Docker/Kubernetes), event-driven architecture (Kafka), APIs, IaC, and
    observability/SRE practices.
  • Data architecture for AI: feature engineering, vector/semantic layers, real-time streaming, data quality pipelines, and integration with industrial systems (OSIsoft
    PI, SAP S/4HANA, Salesforce or Dynamics 365).
  • Responsible AI engineering: XAI/explainability, bias detection, prompt injection defense, AI security, and compliance frameworks relevant to specialty chemicals
    (REACH, GHS, data sovereignty).
  • High level of proficiency with ERP and advanced planning systems (SAP IBP, S/4HANA, APO, o9, Kinaxis).
  • Python/SQL fluency; working knowledge of ML frameworks (PyTorch, scikit-learn, HuggingFace); ability to review and contribute to production AI code. (Preferred)
  • Prior experience building AI teams from the ground up in transformation-stage or industrial enterprises; track record of hiring and growing ML engineers and data
    engineers. (Preferred)

Other
We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.
To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.