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Remote Amazon Tom Team Jobs in Raleigh, NC (NOW HIRING)

Kobie Marketing

AI Engineer

Raleigh, NC · Remote

About the team and what we'll build together Kobie runs some of the largest loyalty programs in the ... We're building an internal agent platform on Amazon AgentCore that automates analyst workflows ...

Apply Early

Kobie Marketing

AI Engineer

Raleigh, NC · Remote

About the team and what we'll build together Kobie runs some of the largest loyalty programs in the ... We're building an internal agent platform on Amazon AgentCore that automates analyst workflows ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

Ability to share optimization and efficiencies with the larger team and management. * Ability to ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

Ability to share optimization and efficiencies with the larger team and management. * Ability to ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$111K - $133K/yr

Ability to share optimization and efficiencies with the larger team and management. * Ability to ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

Deloitte

Databricks Manager

Raleigh, NC · On-site +1

... team in building Databricks environments across Microsoft Azure, Amazon Web Services, and Google ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

All JobsRemote Amazon Tom Team JobsRemote Amazon Tom Team Jobs in Raleigh, NC

Remote Amazon Tom Team information

What are some common challenges faced by members of the Remote Amazon Tom Team, and how can they be overcome?

Members of the Remote Amazon Tom Team often face challenges such as maintaining effective communication across different time zones and staying aligned with team goals while working independently. To overcome these, team members use collaboration tools like Amazon Chime and Slack, participate in regular virtual meetings, and follow structured project management practices. Developing strong time management skills and proactively seeking feedback also helps ensure productivity and connection with the broader team. Amazon supports remote employees with resources and training to foster a cohesive and supportive remote work environment.

What is the difference between Remote Amazon Tom Team vs Remote Amazon Seller Support Specialist?

AspectRemote Amazon Tom TeamRemote Amazon Seller Support Specialist
CredentialsBasic Amazon seller account knowledge, customer service skillsAmazon seller account familiarity, customer service experience
Work EnvironmentRemote team collaborating on Amazon account managementRemote support assisting Amazon sellers directly
Industry UsageAmazon seller account management teamsAmazon seller support roles
Search/Comparison IntentRoles focused on managing Amazon accounts as part of a teamRoles assisting individual Amazon sellers

The Remote Amazon Tom Team typically involves collaborative account management within a team setting, focusing on strategic tasks. In contrast, a Remote Amazon Seller Support Specialist directly assists individual sellers with support issues. Both roles require familiarity with Amazon policies and customer service skills but differ in scope and daily responsibilities.

What is a Remote Amazon TOM Team?

A Remote Amazon TOM (Transportation Operations Management) Team is a group of professionals who work remotely to oversee and coordinate Amazon's transportation logistics. They are responsible for ensuring that packages are shipped, tracked, and delivered efficiently by managing carriers, solving logistical issues, and analyzing data. These teams play a key role in Amazon’s supply chain by optimizing routes, improving delivery times, and maintaining high service standards, all while working from remote locations. Team members typically collaborate virtually using Amazon's proprietary tools and communication platforms.

What are the key skills and qualifications needed to thrive as a Remote Amazon TOM Team member, and why are they important?

To thrive as a Remote Amazon TOM (Transportation Operations Management) Team member, you need strong analytical skills, attention to detail, and relevant experience in logistics or supply chain management, often supported by a bachelor’s degree. Familiarity with Amazon’s proprietary systems, transportation management software, and tools like Excel or SQL is typically required. Excellent problem-solving, communication, and time management skills help you effectively handle coordination and resolve issues remotely. These competencies are crucial to ensure smooth transportation operations and maintain Amazon’s high standards for efficiency and customer satisfaction.
What are the most commonly searched types of Amazon Tom Team jobs in Raleigh, NC? The most popular types of Amazon Tom Team jobs in Raleigh, NC are:
What are popular job titles related to Remote Amazon Tom Team jobs in Raleigh, NC? For Remote Amazon Tom Team jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Tom Team jobs in Raleigh, NC look for? The top searched job categories for Remote Amazon Tom Team jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Amazon Tom Team jobs? Cities near Raleigh, NC with the most Remote Amazon Tom Team job openings:
Remote Amazon Tom Team jobs near you
Infographic showing various Remote Amazon Tom Team job openings in Raleigh, NC as of June 2026, with employment types broken down into 37% Full Time, 62% Part Time, and 1% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.
AI Engineer

AI Engineer

Kobie Marketing

Raleigh, NC • Remote

Full-time

Posted 18 days ago

Be an early applicant

Job description

Join a National Top Workplace 
 
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We’re always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world’s most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers. 
 
Join Us from Anywhere 
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with: 

·         Flexible Time Off to recharge when needed 
·         Nine Company-Wide Holidays 
·         A diverse suite of benefits prioritizing your growth, development, and personal well-being 

Discover more about our perks and benefits here. 
 
Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role. 


About the team and what we’ll build together

Kobie runs some of the largest loyalty programs in the world. We're building an internal agent platform on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams and clients an LLM-native way to work with complex loyalty logic.

We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses, writing the tools those agents call, and owning the reliability and evaluation of what goes to production. This is not a research role. You'll prototype, ship, monitor, and iterate on features used by real teams

Our team tends to be people who reason carefully, ship working code,and pick up new tools without a lot of handholding. There’s no single path into this role. We value the impact of what you’ve built and your track record of building things that hold up.

How you will make an impact

Agent Development

  • Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory
  • Package agent harnesses for the AgentCore Runtime with appropriate context, tools, skills, and subagents that fit cleanly into production flows and scenarios
  • Write the tools and skills agents use  API integrations, SQL queries against Snowflake, Snowflake backed knowledge retrieval with clear contracts and Pydantic validation

Evaluation and Reliability

  • Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore Evaluations, and wire them into CI
  • Implement guardrails around tool execution: auth scoping, input/output validation, PII and prompt-injection protections, and hallucination mitigation
  • You own what you ship: prototype, deploy through Amazon AgentCore, monitor traces, and fix it when it breaks

Collaboration

  • Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex Search Services)
  • Contribute to refining our internal engineering patterns as the stack evolves

What you need to be successful

Required

  • 3+ years of professional Python, with production experience building and operating services
  • 1+ years of hands-on work with LLMs in production: prompt/context engineering, tool/function calling, structured outputs, RAG
  • Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel
  • Experience with LLM observability tools: Amazon CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry
  • Experience designing evaluation frameworks (MLFlow, DeepEval, LLM-as-judge, multi-turn regression)
  • Fluency with Git, Docker, and modern API frameworks
  • Clear written communication and the judgment to know when something is ready to ship

A bachelor's degree is not required. Equivalent practical experience: including bootcamps, self-taught work, career changes, or non-CS technical degrees counts.

Strongly Preferred

  • Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory, policy, guardrails, observability, awscli, evaluations
  • Experience with Snowflake, Snowpark, or Snowflake Cortex
  • Fluency in writing and reading SQL, as well as understanding semantic models.
  • Familiarity with multi-agent patterns: supervisor/router, subagent/handoff, reflection, human-in-the-loop
  • A considered view on where agents should and shouldn't act and comfort pushing back when "let's add an agent" isn't the right answer
  • Experience in Loyalty, MarTech, AdTech, or a comparable data rich B2B domain
Who we are  As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty. 
 
A place for all We celebrate and embrace diversity at Kobie! 
Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law. 
 
We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values. 
 
Ready to join us? If you’re ready to make an impact and grow in a supportive, innovative environment, we’d love to hear from you. Apply today and join the best and brightest in loyalty! 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.