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Ai Rag Jobs in Spokane, WA (NOW HIRING)

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Ai Rag information

See Spokane, WA salary details

$32.4K

$58.9K

$84.4K

How much do ai rag jobs pay per year?

As of Jul 20, 2026, the average yearly pay for ai rag in Spokane, WA is $58,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $65,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

Which AI is best at RAG?

For an AI Rag role, the best AI systems for Retrieval-Augmented Generation (RAG) tasks typically include models like OpenAI's GPT-4, Google's Bard, and Meta's Llama 2, which are capable of integrating retrieval components with language generation. Success in RAG depends on the model's ability to efficiently access and incorporate external data, as well as the implementation of effective retrieval mechanisms and fine-tuning. Skills in natural language processing, knowledge of retrieval systems, and experience with relevant tools are essential for this role.

What engineer makes 500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence or machine learning at large tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and requires advanced skills, extensive experience, and often a master's or Ph.D. in a related field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in data science, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in the field.

What are AI RAGs?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

Which 3 jobs will survive AI?

AI Rag is a role that involves managing and interpreting AI outputs, and jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Examples include healthcare professionals, skilled tradespeople, and roles in education. These jobs often require human judgment, interpersonal skills, and adaptability that AI cannot fully replicate.

What are some common challenges faced by AI RAG (Retrieval-Augmented Generation) engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What are popular job titles related to Ai Rag jobs in Spokane, WA? For Ai Rag jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Spokane, WA look for? The top searched job categories for Ai Rag jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Ai Rag jobs? Cities near Spokane, WA with the most Ai Rag job openings:
Ai Rag jobs near you
AI Agent & Automation Developer

AI Agent & Automation Developer

Cherry Bekaert

Spokane, WA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Job description

Ranked among the largest accounting and consulting firms in the country and consistently recognized as a Great Place to Work, Cherry Bekaert delivers innovative advisory, assurance and tax services to our clients. We are proud to foster a collaborative environment focused on enabling your career growth and continuous professional development. Our Business Transformation team is looking for an AI Agent & Automation Developer. The AI Agent & Automation Developer will have the opportunity to work in a hybrid model from any of Cherry Bekaert's US office locations.

We are seeking a talented and motivated AI Agent & Automation Developer to join our team. The ideal candidate will have hands-on experience building autonomous AI agents using large language models (LLMs), agent frameworks, and modern AI infrastructure. As an AI Agent & Automation Developer, you will design, implement, and deploy intelligent agents that operate autonomously within digital environments, driving innovation and operational excellence.
This role supports organizational transformation by solving complex business challenges through intelligent automation, agent orchestration, and advanced analytics. You must be adaptable, collaborative, and eager to learn new technologies to address multifaceted business problems.
A successful candidate is a proactive problem-solver with strong software engineering skills, ready to thrive in a fast-paced environment and communicate effectively with both technical and business stakeholders.

As an AI Agent & Automation Developer, you will:

  • Design and implement AI agents using LLMs, planning algorithms, and decision-making frameworks.

  • Develop agent architectures that support autonomy, interactivity, and task completion.

  • Integrate agents into applications, APIs, or workflows (e.g., chatbots, automation tools).

  • Collaborate with researchers, engineers, and product teams to iterate on agent capabilities.

  • Optimize agent behavior through feedback loops, reinforcement learning, or user interaction.

  • Engineer and manage context for agents to ensure they access the right information at the right time. This includes applying methods such as:

  • Prompt Engineering - injecting information directly into prompts.

  • Fine-tuning - training models on additional data to embed knowledge (where applicable).

  • Retrieval-Augmented Generation (RAG) - embedding documents into vector databases and retrieving semantically relevant information.

  • Tool Use - leveraging sub-agents or deterministic models to locate and add relevant context.

  • Hybrid Approaches - combining two or more methods to maximize reliability and relevance.

  • Monitor performance, conduct evaluations, and implement safety and guardrail mechanisms.

  • Maintain thorough documentation of agent logic, design decisions, and dependencies.

  • Stay up to date with industry developments and advancements in AI, machine learning, and agent-based technologies.

  • Collaborate with stakeholders and engineering teams to integrate AI agents with Microsoft-specific platforms such as Copilot Studio, Azure AI, and Semantic Kernel SDK.

  • Build and deploy enterprise-grade Copilots using Microsoft's orchestration tools, enabling seamless interaction across Microsoft 365, Dynamics, and custom business applications.

What you bring to the role:

  • Bachelor's degree in Computer Science, AI, Machine Learning, or a related field.

  • Proven experience in agent-based systems, or intelligent automation, with a minimum of 2 years in a similar role.

  • Strong programming skills in Python (or similar) and experience with AI/ML libraries (e.g., LangChain, OpenAI API, Hugging Face, PyTorch).

  • Understanding of agent-based modeling, multi-agent systems, or reinforcement learning.

  • Experience building applications with LLMs or generative AI models.

  • Familiarity with API development, backend services, and deployment pipelines.

  • Ability to work independently in experimental and fast-paced environments.

  • Excellent communication and interpersonal skills, with the ability to build strong relationships with business and technical stakeholders.

  • Analytical mindset with the ability to solve complex problems and make data-driven decisions.

  • Demonstrated understanding of data quality, integrity, and systems integration.

What you can expect from us:

  • Our shared values that foster inclusion and belonging including uncompromising integrity, collaboration, trust, and mutual respect

  • The opportunity to innovate and do work that motivates and engages you

  • A collaborative environment focused on enabling you to further your career growth and continuous professional development

  • Competitive compensation and a total rewards package that focuses on all aspects of your wellbeing

  • Flexibility to do impactful work and the time to enjoy your life outside of work

  • Opportunities to connect and learn from professionals from different backgrounds and with different cultures

Benefits Information:

Cherry Bekaert cares about our people. We offer competitive compensation packages based on performance that recognize the value our people bring to our clients and our Firm. The salary range for this position is included below. Individual salaries within this range are determined by a variety of factors including but not limited to the role, function and associated responsibilities, a candidate's work experience, education, knowledge, skills, and geographic location. In addition, we offer a comprehensive, high-quality benefits program which includes annual bonus, medical, dental, and vision care; disability and life insurance; generous Paid Time Off; retirement plans; Paid Care Leave; and other programs that are dedicated to enhancing your personal and work life and providing you and your family with a measure of financial protection.

Pay Range:

54,245-134,000

About Cherry Bekaert

Cherry Bekaert, ranked among the largest assurance, tax and advisory firms in the U.S., serves clients across industries in all 50 U.S. states and internationally. For more details, visit https://www.cbh.com/disclosure/

Cherry Bekaert provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, citizenship status, protected veteran status, disability status, or any other category protected by applicable federal, state or local laws. https://careers.cbh.com/legal-disclosures/ contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws.

This role is expected to accept applications for at least five calendar days and may continue to be posted until a qualified applicant is selected or the position has been cancelled.

Candidates must demonstrate eligibility to work in the United States.Cherry Bekaert will not provideworksponsorship for this position.

Cherry Bekaert LLP and Cherry Bekaert Advisory LLC are members of Allinial Global, an accountancy and business advisory global association. Visit us athttps://careers.cbh.com/ and follow us onLinkedIn,Instagram, Twitterand Facebook.

2026 Cherry Bekaert. All Rights Reserved.

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