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Remote Amazon Bedrock Jobs (NOW HIRING)

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

AI Engineer

Boston, MA ยท Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

AI Engineer

Boston, MA ยท Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

AI Engineer

Dallas, TX ยท Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

AI Engineer

Detroit, MI ยท On-site +1

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

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Remote Amazon Bedrock information

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

To thrive as a Remote Amazon Bedrock Engineer, you need a strong background in cloud computing, AI/ML model deployment, and proficiency in programming languages such as Python or Java, often supported by a degree in computer science or a related field. Familiarity with AWS services (especially Amazon Bedrock), containerization tools like Docker, and relevant certifications such as AWS Certified Solutions Architect are highly valued. Excellent problem-solving skills, effective remote communication, and the ability to work independently are standout soft skills in this role. These combined skills ensure efficient development, deployment, and management of generative AI applications on Amazon Bedrock, driving innovation and reliability in distributed teams.

What are some common challenges faced by Remote Amazon Bedrock engineers, and how can they be addressed?

Remote Amazon Bedrock engineers often encounter challenges such as coordinating effectively with distributed teams and staying up-to-date with rapidly evolving cloud technologies. To overcome these hurdles, it's important to establish clear communication channels, leverage collaborative tools like Slack or Amazon Chime, and participate in regular virtual meetings. Additionally, dedicating time to continuous learning and certification ensures that engineers remain proficient with the latest AWS Bedrock features and best practices. Building strong relationships with cross-functional teams also helps streamline workflows and problem-solving.

What is a Remote Amazon Bedrock job?

A Remote Amazon Bedrock job typically involves working with Amazon Bedrock, a fully managed service from AWS that makes it easy to build and scale generative AI applications using foundation models. In a remote position, employees can perform their duties from any location outside of a traditional office environment. Job responsibilities may include integrating Bedrock with other AWS services, developing AI-powered applications, managing security and compliance, and providing technical support. These roles often require knowledge of machine learning, cloud computing, and AWS infrastructure.

What is the difference between Remote Amazon Bedrock vs Remote Cloud Engineer?

AspectRemote Amazon BedrockRemote Cloud Engineer
Required CredentialsAWS certifications, AI/ML knowledgeCloud certifications (AWS, Azure, GCP), scripting skills
Work EnvironmentPrimarily cloud-based, AI/ML developmentCloud platforms, infrastructure management
Employer & Industry UsageAmazon, AI/ML servicesVarious tech companies, cloud service providers

Remote Amazon Bedrock specialists focus on AI/ML model deployment using Amazon's platform, requiring AI expertise and AWS certifications. Remote Cloud Engineers handle cloud infrastructure across platforms, emphasizing scripting and infrastructure skills. Both roles work remotely in tech environments but differ in their core focus and certifications.

More about Remote Amazon Bedrock jobs
What cities are hiring for Remote Amazon Bedrock jobs? Cities with the most Remote Amazon Bedrock job openings:
What are the most commonly searched types of Amazon Bedrock jobs? The most popular types of Amazon Bedrock jobs are:
What states have the most Remote Amazon Bedrock jobs? States with the most job openings for Remote Amazon Bedrock jobs include:
Infographic showing various Remote Amazon Bedrock job openings in the United States as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
AI Engineer

AI Engineer

Kobie Marketing

Saint Petersburg, FL โ€ข Remote

Full-time

Posted 26 days ago


Job description

Join a National Top Workplaceย 
ย 
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. Weโ€™re always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the worldโ€™s most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers.ย 
ย 
Join Us from Anywhereย 
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:ย 

ยทย ย ย ย ย ย ย ย  Flexible Time Off to recharge when neededย 
ยทย ย ย ย ย ย ย ย  Nine Company-Wide Holidaysย 
ยทย ย ย ย ย ย ย ย  A diverse suite of benefits prioritizing your growth, development, and personal well-beingย 

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


About the team and what weโ€™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. Thereโ€™s no single path into this role. We value the impact of what youโ€™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 ย 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 ย 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.ย 
ย 
A place for allย We celebrate and embrace diversity at Kobie!ย 
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.ย 
ย 
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.ย 
ย 
Ready to join us?ย If youโ€™re ready to make an impact and grow in a supportive, innovative environment, weโ€™d love to hear from you. Apply today and join the best and brightest in loyalty!ย 

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.