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Remote Aws Ai Practitioner Jobs (NOW HIRING)

Archesys Inc

AWS Cloud Solutions Architect

Baltimore, MD · Remote

$64.50 - $88.50/hr

AWS Certified AI Practitioner or AWS Certified Machine Learning - Specialty. * Experience with ... Fully remote work environment. * Opportunity to architect enterprise-scale cloud and AI solutions.

Archesys Inc

AWS Cloud Solutions Architect

Baltimore, MD · Remote

$100K - $135K/yr

AWS Certified AI Practitioner or AWS Certified Machine Learning - Specialty. * Experience with ... Fully remote work environment. * Opportunity to architect enterprise-scale cloud and AI solutions.

NeuraFlash, Part of Accenture

Sr. AWS Developer

As a trusted leader in AI, AWS, and Salesforce innovation, we craft intelligent solutions ... AWS Cloud Practitioner Certification * AWS Developer Associate Certification or Professional * AWS ...

Vericast

AI Engineer III

San Antonio, TX · On-site +1

$120K - $140K/yr

AWS Certified Machine Learning Engineer - Associate (MLA-C01) or AWS Certified AI Practitioner * Microsoft Certified: Azure AI Engineer Associate (AI-102) * Google Cloud Professional Machine Learning ...

Quantiphi, Inc.

AI Engineer

US (Remote) Role Overview: Quantiphi is seeking an experienced AI Engineer to help build a next ... Design and operate event-driven architectures using AWS native services and messaging middleware

Amazon

Senior SDE, AWS SageMaker Data Preparation

Bellevue, WA · Remote

$138K - $182K/yr

... that every AI practitioner on SageMaker can produce tailored, high-quality datasets for model ... About the team Why AWS. Amazon Web Services (AWS) is the world's most comprehensive and broadly ...

New

Amazon

Senior SDE, AWS SageMaker Data Preparation

Bellevue, WA · Remote

$138K - $182K/yr

... that every AI practitioner on SageMaker can produce tailored, high-quality datasets for model ... About the team Why AWS. Amazon Web Services (AWS) is the world's most comprehensive and broadly ...

New

System One

Senior Data Scientist (AI)

Washington, DC · Remote

The AI Lab operates as a small, agile team where practitioners are expected to move between ... Familiarity with AWS AI services (Amazon Bedrock, SageMaker, Comprehend, Rekognition, Transcribe)

System One

Senior Data Scientist (AI)

Washington, DC · Remote

The AI Lab operates as a small, agile team where practitioners are expected to move between ... Familiarity with AWS AI services (Amazon Bedrock, SageMaker, Comprehend, Rekognition, Transcribe)

System One

Senior Data Scientist (AI)

Washington, DC · Remote

The AI Lab operates as a small, agile team where practitioners are expected to move between ... Familiarity with AWS AI services (Amazon Bedrock, SageMaker, Comprehend, Rekognition, Transcribe)

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Remote Aws Ai Practitioner information

What is the difference between Remote Aws Ai Practitioner vs Remote Data Scientist?

AspectRemote Aws Ai PractitionerRemote Data Scientist
Required CredentialsAWS certifications, AI/ML knowledgeStatistics, programming, data analysis skills
Work EnvironmentCloud platforms, AI/ML tools, remoteData analysis, modeling, research, remote
Employer & Industry UsageTech companies, cloud providers, AI firmsResearch institutions, tech, finance, healthcare
Common Search & ComparisonYesYes

Remote Aws Ai Practitioners focus on deploying AI solutions using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a background in statistics and programming. While both roles involve AI and data, the AWS Ai Practitioner emphasizes cloud deployment and AWS tools, whereas Data Scientists focus on data analysis and modeling across various platforms.

What are the key skills and qualifications needed to thrive as a remote AWS AI practitioner, and why are they important?

To thrive as a Remote AWS AI Practitioner, you need a solid background in machine learning, data science, and cloud computing, typically supported by a degree in computer science or a related field and experience with AWS services. Proficiency with AWS tools like SageMaker, Lambda, and AI/ML frameworks, as well as relevant certifications such as AWS Certified Machine Learning – Specialty, is highly valuable. Strong problem-solving abilities, effective communication, and the ability to work independently are important soft skills in this remote role. These competencies are crucial for designing scalable AI solutions, collaborating with distributed teams, and delivering impactful results in a cloud-based environment.

How do remote AWS AI practitioners typically collaborate with cross-functional teams despite working remotely?

Remote AWS AI Practitioners regularly collaborate with software engineers, data scientists, and product managers via virtual meetings and cloud-based project management tools. Effective communication is crucial, as they often need to clarify requirements, share progress, and troubleshoot issues in real time. Many organizations use platforms like Slack, Jira, and AWS Cloud9 to facilitate seamless teamwork and code sharing. Building strong relationships and maintaining proactive communication are key to overcoming remote work challenges and ensuring successful AI project delivery.

What is a remote AWS AI practitioner?

A Remote AWS AI Practitioner is a professional who uses Amazon Web Services (AWS) to design, develop, and deploy artificial intelligence (AI) solutions while working remotely. They leverage AWS AI and machine learning services like Amazon SageMaker, AWS Lambda, and AWS Rekognition to build and manage intelligent applications. These practitioners often collaborate with teams online, ensure scalability and security of AI models, and help organizations automate processes or gain insights from data using AWS technology.
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Infographic showing various Remote Aws Ai Practitioner job openings in the United States as of August 2026, with employment types broken down into 14% Internship, 72% Full Time, and 14% Contract. Highlights an 100% Remote job distribution.

Lead AI Engineer - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$145K - $249K/yr

Full-time

Retirement

Posted 14 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

189th of 887 rated healthcare providers

Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
We are looking for a Senior GenAI Developer with solid hands-on expertise in both open source and AWS Generative AI stacks. You will design and build production-ready RAG pipelines, agentic AI workflows, and knowledge base chatbots. You will work closely with architects and business stakeholders to deliver accurate, low-hallucination, observable AI solutions at enterprise scale.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Design and build production-grade RAG pipelines using LangChain and LangGraph for stateful agentic workflows
  • Develop and maintain knowledge base chatbots with semantic search, source attribution, and multi-turn conversation memory
  • Implement advanced retrieval strategies - Hybrid Search (vector + keyword), HyDE, and Hierarchical / Small-to-Big chunking
  • Build and manage multi-agent orchestration architectures with Agentic RAG patterns (Corrective RAG, Self-RAG)
  • Integrate LLMs (Claude, GPT-4o, Llama 3, Mistral) via API and open-source hosting (Fireworks AI, Groq)
  • Design and operate vector databases - Pinecone, Weaviate, or PGVector - for semantic knowledge storage
  • Build AWS Bedrock-based solutions using Bedrock Agents, Knowledge Bases, and Guardrails
  • Set up evaluation frameworks using Ragas (faithfulness, relevance scoring) and maintain Golden Datasets for CI/AI testing
  • Implement LLM observability using LangSmith or Phoenix - trace calls, debug hallucinations, monitor costs
  • Apply PII redaction pipelines on ingested documents and enforce data security using Model Context Protocol (MCP)
  • Deploy AI backends using FastAPI and Docker with OpenTelemetry for system-wide monitoring
  • Collaborate with Solution Architects to produce HLDs, LLDs, and developer-facing documentation for AI components

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
  • 8+ years of overall software / AI engineering experience
  • 2+ years of direct hands-on experience building and deploying GenAI / LLM-based applications in production
  • Solid Python development skills - primary language for AI engineering work
  • Demonstrated portfolio or project experience with RAG pipelines, vector databases, and agentic architectures
  • Driver's License and access to reliable transportation

Preferred Qualifications:
  • AWS Certified AI Practitioner (AIF-C01) or Generative AI Developer (AIP-C01) certification
  • AWS Certified Cloud Practitioner or Developer Associate
  • AI/ML Specialty
  • Experience with Graph RAG for complex entity-relationship knowledge bases
  • Experience with Semantic Kernel as an alternative orchestration framework
  • Knowledge of Human-in-the-Loop systems - expert review/voting UI for AI answer correction
  • Familiarity with fine-tuning open-source LLMs (LoRA / QLoRA) on domain-specific datasets
  • Exposure to Amazon Connect integration with Bedrock Agents via Lex V2 for contact centre AI

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $145,500 - $249,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

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