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Remote Amazon Ai Jobs (NOW HIRING)

Level AI

Head of Product Marketing (Remote, US )

Level AI is redefining what contact centers can do. Our full-stack AI platform gives CX teams the ... We've assembled a seasoned team with leaders from organizations such as Amazon, Facebook, Google ...

Mercor

Operations Expert - AI Training

New York, NY · Remote

$80 - $110/hr

Remote Role Responsibilities * Guide research teams to close knowledge gaps and improve AI model ... Amazon, Google, Apple, Meta, Uber, Airbnb, Goldman Sachs, McKinsey Operations Practice, GE, P&G ...

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Remote Amazon Ai information

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$22K

$149.5K

$192.5K

How much do remote amazon ai jobs pay per year?

As of Jun 8, 2026, the average yearly pay for remote amazon ai in the United States is $149,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $167,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Amazon Ai vs Remote Data Scientist?

AspectRemote Amazon AiRemote Data Scientist
Required CredentialsAmazon certifications, AI/ML degreesStatistics, Computer Science degrees, certifications in data analysis
Work EnvironmentAmazon's cloud-based platforms, AI development teamsData analysis, modeling, and visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesVarious industries including tech, finance, healthcare
Search & Comparison IntentFocus on AI development at AmazonFocus on data analysis and modeling roles

Remote Amazon Ai roles focus on developing AI solutions within Amazon's ecosystem, often requiring specific certifications and experience with Amazon's cloud platforms. Remote Data Scientists analyze data, build models, and generate insights across multiple industries. While both roles involve data and analytics, Amazon Ai positions are more specialized in AI/ML development within Amazon's infrastructure, whereas Data Scientists have broader industry applications.

How does a Remote Amazon AI specialist typically collaborate with cross-functional teams?

As a Remote Amazon AI specialist, you'll frequently work with diverse teams, such as software engineers, product managers, and data scientists, to develop and deploy AI-powered solutions. Collaboration usually happens through virtual meetings, shared documentation, and agile project management tools, ensuring alignment despite working remotely. Effective communication and proactive knowledge sharing are key, as you'll need to translate complex AI concepts for non-technical stakeholders and integrate feedback from various departments. This collaborative environment enables you to contribute to innovative projects and learn from experts in related fields.

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

To thrive as a Remote Amazon AI Specialist, you need strong expertise in machine learning, data analysis, programming (Python, Java, or similar), and a relevant degree in computer science or engineering. Familiarity with Amazon Web Services (AWS), SageMaker, AI/ML frameworks, and relevant AWS certifications are typically required. Excellent problem-solving, communication, and self-management skills set outstanding professionals apart in remote and collaborative environments. These competencies are crucial for designing, deploying, and optimizing AI solutions that drive business innovation and efficiency at scale.

What is a Remote Amazon AI job?

A Remote Amazon AI job refers to a position with Amazon where employees work from home or another remote location, focusing on artificial intelligence (AI) technologies. These roles may include research, development, deployment, or support of AI and machine learning solutions that power Amazon's products and services, such as Alexa, Amazon Web Services (AWS), and e-commerce. Typical job titles include Machine Learning Engineer, Data Scientist, and AI Research Scientist. Working remotely allows employees to collaborate virtually using Amazon's internal tools while contributing to innovative AI projects.
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Remote Amazon Ai jobs near you
Engagement Manager - AI Agents

Engagement Manager - AI Agents

Observe.AI

Redwood City, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 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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