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Remote Nemo Jobs (NOW HIRING)

Capital One

Distinguished AI Engineer (Remote)

OR · On-site +1

... Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization ... Remote (Regardless of Location): $244,700 - $279,200 for Distinguished AI Engineer McLean, VA: $269 ...

NTT DATA Services

AI Application Engineer

Santa Clara, CA · On-site +1

$104K - $218K/yr

Integrate NVIDIA technologies including NIM, NeMo, NeMoGuardrails, and Riva into enterprise AI ... The starting pay range for this remote role is $104,904.00-$218,550.00. This range reflects the ...

NTT DATA Services

AI Application Engineer

Santa Clara, CA · On-site +1

$104K - $218K/yr

Integrate NVIDIA technologies including NIM, NeMo, NeMoGuardrails, and Riva into enterprise AI ... The starting pay range for this remote role is $104,904.00-$218,550.00. This range reflects the ...

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How much do remote nemo jobs pay per year?

As of Jun 5, 2026, the average yearly pay for remote nemo in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Nemo vs Remote Customer Support Specialist?

AspectRemote NemoRemote Customer Support Specialist
Required CredentialsHigh school diploma or equivalent; customer service experienceHigh school diploma; customer service or support experience often preferred
Work EnvironmentRemote, flexible hours, team collaboration toolsRemote, often shift-based, customer interaction via chat, email, or phone
Industry UsageCustomer service, tech support, retailCustomer service, technical support, e-commerce
Common Search/ComparisonRemote Nemo vs Remote Customer Support Specialist

The comparison between Remote Nemo and Remote Customer Support Specialist shows that both roles typically require similar credentials and work remotely in customer service environments. While Remote Nemo may focus more on general customer engagement, the Remote Customer Support Specialist often handles technical issues or product-specific support. Both roles are vital in customer-facing industries and share similar work environments, making them common points of comparison for job seekers.

What are Remote Nemo jobs?

Remote Nemo jobs typically refer to positions that are performed entirely online or from a location outside of a traditional office setting, often for companies or organizations that operate in the digital or technology sectors. These roles can vary widely, including tasks in customer service, IT, project management, or content creation, depending on the company. The 'Nemo' in the job title could indicate a specific company, project, or specialized remote team, so it's important to check the job description for more details. Remote jobs offer flexibility and can be performed from anywhere with a stable internet connection, making them ideal for individuals seeking work-life balance.

What are some common challenges faced by remote software engineers and how can they be addressed?

Remote software engineers often encounter challenges such as maintaining effective communication with distributed teams, managing time zone differences, and staying motivated when working independently. To address these, it's important to leverage collaboration tools like Slack or Zoom, establish clear routines, and schedule regular check-ins with teammates. Additionally, setting boundaries between work and personal life and seeking out virtual networking opportunities can help foster a sense of connection and support.

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

I'm sorry, but 'Remote Nemo' is not a recognized real-world professional occupation, so I cannot provide an accurate or helpful answer.
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Remote Nemo jobs near you
Sr Security Solutions Architect

Sr Security Solutions Architect

Catapult Solutions Group

Santa Clara, CA • On-site, Remote

Contractor

Posted 23 days ago

Job description

Sr. Security Solutions Architect
IT / Security Architecture | Remote (US PST Hours) | Contract - 3+ Months (Strong Potential for Extension)
About Our Client
Our client is a globally recognized technology solutions provider and systems integrator, working with some of the world's largest enterprises and government organizations. They operate at the forefront of infrastructure, security, and emerging technology - helping clients design, build, and manage complex IT environments at scale. With a deep bench of technology partnerships and a strong culture of innovation, they move fast and expect their people to do the same. This is a contractor role placed through Catapult Solutions Group and assigned to a third-party customer of World Wide Technology (WWT).
Job Description
The Sr. Security Solutions Architect will serve as a senior technical resource responsible for designing and delivering secure AI/ML solutions across enterprise environments. This is a high-impact, highly visible role sitting at the intersection of AI engineering and information security - the kind of work that doesn't exist at most companies yet. You'll architect production-grade LLM and generative AI systems, implement AI-specific security controls, and define the reference architectures that teams will build on for years.
Day-to-day, you'll partner with security, infrastructure, data science, and executive stakeholders to translate complex technical requirements into business-aligned solutions. You'll lead workshops, drive architecture reviews, and build reusable patterns that operationalize AI securely across hybrid and multi-cloud environments. This is not a theoretical role - hands-on experience with Cisco AI Defender and the NeMo ecosystem is a must.
The right candidate brings 7+ years of solutions or security architecture experience, thinks in systems, communicates clearly at every level of an organization, and has a genuine passion for the rapidly evolving world of AI security and governance.
Duties & Responsibilities
  • Design end-to-end secure AI/ML solutions using Cisco AI Defender and NeMo frameworks
  • Architect scalable, production-grade LLM and generative AI systems across hybrid and multi-cloud environments
  • Define secure reference architectures for AI workloads, including data pipelines, model training, and inference layers
  • Implement AI-specific security controls including model integrity, prompt injection defense, data leakage prevention, and adversarial attack mitigation
  • Leverage Cisco AI Defender to monitor, detect, and respond to AI-related threats and anomalies
  • Ensure alignment with enterprise security frameworks including NIST, ISO 27001, and Zero Trust
  • Integrate NeMo and related libraries (NeMo Guardrails, Triton Inference Server, CUDA, TensorRT) into enterprise platforms
  • Collaborate with DevOps and MLOps teams to operationalize AI models securely
  • Build reusable architecture patterns and automation for AI deployment pipelines
  • Partner with security, infrastructure, data science, and executive stakeholders to define AI strategy and roadmap
  • Translate complex technical concepts into business-aligned solutions and risk considerations
  • Lead technical workshops, design sessions, and architecture reviews
  • Conduct threat modeling and risk assessments specific to AI/LLM deployments
  • Establish observability and monitoring strategies for AI systems including model drift, misuse, and anomaly detection
  • Ensure compliance with regulatory and data privacy requirements

Required Experience & Skills
  • 7+ years of experience in Solutions Architecture, Security Architecture, or AI/ML Engineering
  • Deep hands-on experience with Cisco AI Defender or equivalent AI security platforms
  • Deep hands-on experience with the NeMo ecosystem including NeMo Guardrails, Triton Inference Server, CUDA, and TensorRT
  • Strong background in information security including Zero Trust Architecture, Identity & Access Management (IAM), and data protection/encryption
  • Demonstrated experience designing and deploying LLM and Generative AI solutions in enterprise environments
  • Proficiency in cloud platforms - AWS, Azure, or GCP
  • Strong understanding of MLOps and DevSecOps practices
  • Excellent communication and stakeholder engagement skills across technical and executive audiences

Nice-to-Haves
  • Experience with AI governance frameworks and responsible AI practices
  • Familiarity with vector databases, RAG architectures, and model fine-tuning
  • CISSP, CCSP, AWS/Azure Solutions Architect, or NVIDIA certifications
  • Experience working within large enterprise or systems integrator environments

Education
Bachelor's degree in Computer Science, Information Security, Engineering, or a related field preferred. Equivalent professional experience will be considered.
Pay & Details
  • Contract duration: 3+ months with strong likelihood of extension based on performance
  • Location: Fully remote - must be available to work US Pacific Standard Time (PST) hours
  • Work authorization accepted: US Citizen, Green Card, TN, H-1B, E-3, H4-EAD, L2-EAD, OPT-EAD, CPT-EAD, TPS-EAD, STEM-EAD

Ready to Apply?
If you're an experienced security architect who's ready to shape how enterprises secure their AI future - let's talk. Apply now and let's start the conversation.
Sr. Security Solutions Architect | Cisco AI Defender | NeMo | LLM Security | Generative AI | Zero Trust | MLOps | DevSecOps | Remote | Contract | WWT | AI Governance | Cloud Security | AWS | Azure | GCP

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