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Retrieval Augmented Generation Jobs in Idaho (NOW HIRING)

Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agents, or Agentic AI solutions. * Experience with JavaScript, React, and modern web frontend ...

... next-generation, AI-native applications that accelerates the capability for engineering teams we ... retrieval-augmented systems, and agentic workflow orchestration-directly into engineering-critical ...

... next-generation, AI-native applications that accelerates the capability for engineering teams we ... retrieval-augmented systems, and agentic workflow orchestration-directly into engineering-critical ...

... next-generation, AI-native applications that accelerates the capability for engineering teams we ... retrieval-augmented systems, and agentic workflow orchestration--directly into engineering-critical ...

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Retrieval Augmented Generation information

What is a retrieval augmented generation?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What does a retrieval augmented generation engineer do?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.

What skills and qualifications are needed for retrieval augmented generation?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Idaho?

The most popular types of Retrieval Augmented Generation jobs in Idaho are:

What job categories do people searching Retrieval Augmented Generation jobs in Idaho look for?

The top searched job categories for Retrieval Augmented Generation jobs in Idaho are:

What cities in Idaho are hiring for Retrieval Augmented Generation jobs?

Cities in Idaho with the most Retrieval Augmented Generation job openings:

Staff AI Enablement & Transformation Engineer

Micron Technology

Boise, ID • On-site

$97K - $220K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 18 days ago


Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

26th of 161 rated electronics manufacturers


Job description

Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
The Staff AI Enablement & Transformation Engineer role at Micron is an outstanding opportunity to drive innovation and change within our Finance organization. You will be at the forefront of integrating AI-powered solutions, encouraging workforce capabilities, and producing quantifiable business results through automation and AI technologies.
Key Responsibilities
  • Lead Finance AI transformation and adoption initiatives aligned with Finance modernization and business objectives.
  • Develop and complete AI enablement strategies that boost efficiency, decision-making, and business outcomes across Finance.
  • Partner with Finance leaders to identify, prioritize, and scale high-impact AI use cases and transformation opportunities.
  • Promote the use of Claude, Claude Code, Microsoft Copilot, and other authorized enterprise AI platforms.
  • Compose, build, test, and deploy AI solutions including AI agents, Claude Skills, Copilot Agents, timely libraries, and workflow automations.
  • Build reusable AI assets, accelerators, templates, and best-practice playbooks that can be used across Finance organizations.
  • Build and deliver AI learning programs, workshops, boot camps, office hours, and certification pathways.
  • Train and mentor employees on timely engineering, AI-assisted work, workflow automation, AI agents, and emerging AI technologies.
  • Lead Finance citizen developer initiatives, AI champion networks, hackathons, innovation challenges, and communities of practice.
  • Develop and publish Finance AI newsletters highlighting new AI capabilities, use cases, success stories, and learning opportunities.
  • Track and communicate AI adoption, engagement, proficiency, and business value through dashboards and executive reporting.
  • Assess productivity increases, time saved, process optimizations, and business benefits delivered through AI initiatives.
  • Ensure AI solutions align with enterprise governance, security, privacy, compliance, and Responsible AI standards.

Minimum Qualifications
  • Bachelor's degree in Finance, Accounting, Business, Computer Science, Data Science, Information Systems, Artificial Intelligence, or a related field.
  • 5+ years of experience in AI Enablement, Finance Transformation, Digital Transformation, Organizational Change Management, or Workforce Capability Development.
  • Experience leading enterprise technology adoption programs and driving organizational change.
  • Strong analytical, reporting, and data visualization skills.
  • Practical experience working directly with comprehensive AI frameworks including Claude, Claude Code, Microsoft Copilot, Azure AI, OpenAI, AWS AI Services, or similar technologies.
  • Experience developing and implementing intelligent agents, Claude Skills, Copilot Agents, AI assistants, or agentic workflow solutions.
  • Experience with timely engineering, workflow automation, Retrieval-Augmented Generation (RAG), MCP integrations, and AI orchestration.
  • Experience managing citizen developer programs, hackathons, communities of practice, or innovation initiatives.
  • Excellent communication, facilitation, collaborator management, and executive presentation skills.
  • Proven ability to influence and collaborate across business and technology organizations.

Preferred Qualifications
  • Experience supporting Finance, Procurement, Shared Services, Treasury, Tax, Accounting, FP&A, or Operations Finance organizations.
  • Knowledge of Finance processes including Source-to-Pay (S2P), Procure-to-Pay (P2P), Accounts Payable, Treasury, Tax, Record-to-Report (R2R), and FP&A.
  • Experience with SAP, Power Platform, Power Automate, UiPath, Process Mining, ServiceNow, or similar enterprise platforms.
  • Experience crafting AI training initiatives, enablement strategies, and workforce capability frameworks.
  • Familiarity with change management methodologies such as ADKAR, Prosci, Lean, Six Sigma, or Agile.
  • Strong understanding of Responsible AI, AI governance, and risk management practices.

The US base salary range that Micron Technology estimates it could pay for this full-time position is:
$97,000.00 - $220,000.00 a year
Additional compensation may include benefits, bonuses and equity.
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your right to work click here.
To learn more about Micron, please visit micron.com/careers
US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

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