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Remote Rag Jobs in Santa Clara, CA (NOW HIRING)

Automation Anywhere, Inc.

Sales Engineer

San Jose, CA · On-site +1

Must be based in the United States in the Central Time Zone or in the Bay Area, California (Remote ... RAG), Large Language Models (LLMs), and GPT-based technologies * Certifications in leading ...

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Remote Rag information

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How much do remote rag jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote rag in Santa Clara, CA is $25.25, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $26.83 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote RAG?

I'm sorry, but 'Remote Rag' does not appear to be a recognized professional occupation. Please provide a valid job title.

What is a Remote RAG?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.

What are some common challenges faced by professionals working in a remote RAG role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.
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Remote Rag jobs near you
Infographic showing various Remote Rag job openings in Santa Clara, CA as of August 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $52,525 per year, or $25.3 per hour.

Engagement Manager - AI Agents

Observe.AI

Redwood City, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

About Us
Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI Agents that autonomously execute work across the full CX lifecycle-from handling customer conversations to supporting frontline teams and optimizing operations.
Each AI Agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.
Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction.
Why Join Us
As an Engagement Manager for AI Agent deployments, you'll own how we implement VoiceAI and ChatAI for our enterprise customers - from strategy through execution. Your job is to make every deployment smooth, high-impact, and set up for long-term success.
This role blends program leadership, customer strategy, and value realization. You'll guide complex rollouts, coordinate across multiple teams, manage risks, and ensure every launch delivers clear, measurable outcomes.
What You'll Be Doing
  • Lead End-to-End AI Agent Delivery:
    • Own AI Agent deployments from kickoff → design → build → testing → go-live → hypercare → optimization.
    • Conduct business and technical discovery to deeply understand customer workflows, KPIs, and success criteria.
  • Orchestrate a Cross-Functional Delivery Pod:
    • Lead a matrixed delivery team including Experience Designers, AI Agent Engineers, and Telephony Engineers.
    • Coordinate with Engineering on feature gaps, technical escalations, and roadmap alignment.
  • Drive Customer Outcomes & Long-Term Success:
    • Own the success of multi-phase AI transformation programs.
    • Post-go live, act as the customer's primary AI Agent program lead - running QBRs, tracking KPIs, and driving continuous value.
  • Establish Scalable Processes & Governance:
    • Create and refine playbooks, delivery templates, evaluation frameworks, UAT processes, hypercare models, and best practices
    • Ensure compliance with testing, evaluation frameworks, UAT processes, and deployment checklists.
    • Manage timelines, deliverables, documentation, and cross-functional dependencies for multiple concurrent customer programs.
  • Customer Enablement & Training:
    • Guide customers through operational readiness, change management, and best practices for scaling AI within their contact centers.
  • Be the Face of AI Strategy for Enterprise Customers:
    • Present confidently to frontline leaders, IT executives, and C-suite stakeholders.
    • Translate complex AI/technical concepts into business outcomes and guide customers through AI maturity and transformation journeys.

What You'll Bring To The Role
  • 5+ years in enterprise customer delivery, professional services, program management, or consulting (SaaS, AI, CX, digital transformation, or contact center domains preferred)
  • Proven success leading complex enterprise implementations with cross-functional and executive stakeholders.
  • Strong understanding of contact center KPIs like containment, AHT, CSAT, NPS, and how they influence AI Agent projects.
  • Comfort leading customer-facing discussions - from deep technical troubleshooting to weekly project demos.
  • Demonstrated ability to manage multiple projects simultaneously in fast-paced, evolving environments.
  • Excellent communication, training, documentation, and relationship-building skills.
  • Bonus points for:
    • Experience with Conversational AI, VoiceAI, RAG systems, or NLU/NLP platforms.
    • Hands-on experience to CCaaS platforms (Genesys, NICE, Amazon Connect, Five9, Talkdesk, Zoom Contact Center).

Why You'll Love It Here
  • Competitive compensation including equity: Market-aligned base pay, performance incentives, and meaningful equity ownership
  • Excellent medical, dental, and vision insurance options: Comprehensive medical, dental and vision benefits for employees and eligible dependents
  • Flexible Paid Time Off: Our unlimited, flexible PTO policy empowers you to take the time you need to recharge, maintain balance, and perform at your best.
  • Additional Time to Recharge: 10 company holidays, an annual company-wide Winter Break, and paid parental leave to fully support life outside of work.
  • 401(k) plan: Long-term financial planning support with tax-advantaged retirement savings
  • Quarterly Lifestyle Spending Account: Flexible quarterly stipend to support wellness, learning and professional development, and personal growth
  • Monthly Mobile + Internet Stipend: Support for remote and hybrid work connectivity needs
  • Pre-tax Commuter Benefits: Tax-efficient transit and commuting support for hybrid and in-office employees
  • Autonomy and Agency: Play a meaningful role in scaling a category-defining GenAI platform transforming the future of customer experience.

Salary Range
The base salary compensation range targeted for this full-time position is $133,000-$149,000 Range per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices.
Our Commitment to Inclusion and Belonging
Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.
We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.
If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.
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