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Vector Remote Jobs in Ohio (NOW HIRING)

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate)   ... AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal ...

Senior AI Engineer

Cleveland, OH · On-site +1

$101K - $139K/yr

Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms ... Apply today or check out all our opportunities! #LI-Remote #LI-Hybrid #LI-Onsite By submitting your ...

Although the position will be remote, there might be some occasional travel to ERPS facilities or ... Experience with LangChain, vector databases, RAG, or MCP frameworks. * Familiarity with OCI and ...

Senior GenAI & ML Engineer Remote

New Bremen, OH · On-site +1

$108K - $148K/yr

... Vector databases & NoSQL Familiarity with architectural choices, particularly for ML systems Crawling/Webscraping, specially with AI tools Perks & Benefits Work anywhere Veeva charitable giving ...

Lead AI Engineer

Columbus, OH · Remote

$152K - $190K/yr

RAG systems and vector databases; production AI/ML system design; software engineering best ... Remote * Schedule : 8:00 A.M. to 5:00 P.M. Monday through Friday with night and weekend hours on ...

The engagement is fully remote and contract-based. Location: Must be in Cincinnati, OH Contract ... stores, vector databases, model serving) Understanding of data mesh and domain-driven design ...

Agent Engineer

Marysville, OH · On-site +1

$140K - $164K/yr

LLMs (GPT-4, Claude, Gemini), prompt engineering, RAG, vector databases, and agent orchestration ... For remote roles where the final candidate resides in Alaska, California, Colorado, Illinois, New ...

Data Engineer- Full Stack

Mason, OH · Remote

$138K - $232K/yr

... Remote #LI-CH2 What you'll do... * Design and implement end-to-end data pipelines (ETL/ELT) that ... Build and maintain Gen AI pipelines - including embedding generation, vector store indexing ...

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Vector Remote information

What are the key skills and qualifications needed to thrive as a Vector Remote (Remote Sales Representative at Vector Marketing), and why are they important?

To thrive as a Vector Remote Sales Representative, you need strong sales acumen, effective communication skills, and a high school diploma or equivalent. Familiarity with CRM software, virtual meeting platforms, and online order processing systems is typically required. Exceptional interpersonal skills, self-motivation, and resilience help individuals stand out in this role. These skills are crucial for building client relationships, meeting sales targets, and succeeding in a remote work environment.

What are some of the unique challenges faced when working as a remote sales representative for Vector Marketing?

As a remote sales representative for Vector Marketing, one of the main challenges is maintaining self-motivation and discipline, since you are often managing your own schedule without direct in-person supervision. Additionally, building rapport with customers virtually requires strong communication skills and adaptability to different digital platforms. You may also need to proactively seek feedback and support from your team, as remote work can sometimes feel isolating. However, the company offers regular virtual meetings, training, and resources to help you stay connected and succeed in your sales goals.

What are Vector Remote jobs?

Vector Remote jobs refer to employment opportunities offered by Vector Marketing that allow representatives to work remotely, typically selling CUTCO® products from home or any location with internet access. These positions often involve conducting virtual demonstrations, managing customer relationships online, and setting appointments through digital platforms. Remote roles offer flexible scheduling, making them attractive to students and those seeking supplemental income. Training and support are usually provided virtually, ensuring remote reps have the resources needed to succeed. This setup allows individuals to gain sales and communication experience without needing to work in a traditional office environment.

What is the difference between Vector Remote vs Data Analyst?

AspectVector RemoteData Analyst
Required CredentialsBachelor's degree in relevant field, technical skills in data toolsBachelor's degree in statistics, mathematics, or related field
Work EnvironmentRemote, flexible hours, tech-focusedTypically office-based or remote, analytical and reporting tasks
Employer & Industry UsageTech companies, startups, remote-first organizationsBusiness, finance, healthcare, and various industries
Search & Comparison IntentRemote data roles, tech jobs, data-focused positionsData analysis careers, analytics roles, data reporting jobs

Vector Remote and Data Analyst roles often require similar technical skills and educational backgrounds. While Vector Remote emphasizes remote work environments and tech industry usage, Data Analysts are found across multiple industries with both remote and on-site options. Understanding these differences helps job seekers target the right roles based on work setting and industry focus.

What are the most commonly searched types of Vector jobs in Ohio? The most popular types of Vector jobs in Ohio are:
Infographic showing various Vector Remote job openings in Ohio as of May 2026, with employment types broken down into 67% Full Time, 25% Part Time, and 8% Contract. Highlights an 64% Physical, 5% Hybrid, and 31% Remote job distribution.
Director, AI Architecture & Engineering - US Remote

Director, AI Architecture & Engineering - US Remote

Hexion, Inc.

OH • On-site, Remote

Full-time

Posted 23 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.