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Agentic Ai Jobs in Bothell, WA (NOW HIRING)

Agentic AI Engineer

Seattle, WA · Hybrid

$130K - $170K/yr

Opportunity for Impact TaxBit is seeking an Agentic AI Engineer excited by the intersection of AI and FinTech - building intelligent, customer-facing products that redefine how users interact with ...

Agentic AI Engineer

Seattle, WA · On-site

$130K - $170K/yr

Opportunity for Impact TaxBit is seeking an Agentic AI Engineer excited by the intersection of AI and FinTech - building intelligent, customer-facing products that redefine how users interact with ...

Agentic AI Engineer

Seattle, WA · Hybrid

$130K - $170K/yr

Opportunity for Impact TaxBit is seeking an Agentic AI Engineer excited by the intersection of AI and FinTech - building intelligent, customer-facing products that redefine how users interact with ...

Build and deploy agentic AI workflows that automate repeatable, high-volume engineering processes such as CVE triage and support ticket management * Use the DataRobot platform - including AutoML ...

Build and deploy agentic AI workflows that automate repeatable, high-volume engineering processes such as CVE triage and support ticket management * Use the DataRobot platform - including AutoML ...

AI Agentic Engineer

Seattle, WA · On-site +1

$60 - $82.25/hr

What you'll do As an AI Agentic Engineer on the Platform AI Engineering team, you will drive the next wave of automation in IT operations by designing and deploying agentic AI solutions that ...

Senior Software Engineer, Agentic AI

Redmond, WA · On-site

$137K - $180K/yr

We are now looking for a Senior Software Engineer, Agentic AI! NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of ...

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Agentic Ai information

See Bothell, WA salary details

$39

$73

$130

How much do agentic ai jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for agentic ai in Bothell, WA is $73.53, according to ZipRecruiter salary data. Most workers in this role earn between $50.77 and $111.78 per hour, depending on experience, location, and employer.

How do agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

How to start a career in agentic AI?

To start a career in agentic AI, develop strong skills in artificial intelligence, machine learning, and programming languages such as Python. Gaining experience through relevant projects, internships, or certifications in AI and automation tools can improve job prospects in this field.

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

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

What are agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are growing in demand across industries such as technology, healthcare, and finance. Careers in this field typically require skills in machine learning, programming, and data analysis, and may involve working with AI frameworks and tools. The field offers opportunities for innovation and specialization but also requires ongoing learning due to rapid technological advancements.
What job categories do people searching Agentic Ai jobs in Bothell, WA look for? The top searched job categories for Agentic Ai jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Agentic Ai jobs? Cities near Bothell, WA with the most Agentic Ai job openings:
Infographic showing various Agentic Ai job openings in Bothell, WA as of August 2026, with employment types broken down into 72% Full Time, 24% Part Time, and 4% Contract. Highlights an 66% Physical, 5% Hybrid, and 29% Remote job distribution, with an average salary of $152,938 per year, or $73.5 per hour.

Agentic AI Engineer

Taxbit

Seattle, WA • Hybrid

$130K - $170K/yr

Full-time

Retirement

Re-posted 3 days ago


Job description

Opportunity for Impact

TaxBit is seeking an Agentic AI Engineer excited by the intersection of AI and FinTech - building intelligent, customer-facing products that redefine how users interact with tax and compliance workflows. You'll be at the forefront of applied AI, designing and shipping agentic systems that operate autonomously, reason across complex data, and deliver world-class experiences to TaxBit's enterprise customers.

We welcome individuals who are humble, hungry, and eager to tackle some of the most interesting AI engineering challenges in financial technology.


Role and Responsibilities

  • Design, build, and deploy customer-facing agentic AI products using AWS-native technologies including Strands Agents, AgentCore, Bedrock, and Lambda
  • Architect multi-agent systems with reliable tool use, memory, and orchestration patterns that perform accurately in high-stakes financial contexts
  • Partner with product managers and customer success to deeply understand user problems and translate them into elegant, production-grade AI solutions
  • Own the full lifecycle of AI features - from prompt engineering and agent design through evaluation, deployment, and monitoring
  • Write well-designed, well-tested, and maintainable code; participate in code reviews to maintain quality and distribute AI/ML knowledge across the team
  • Instrument and monitor agentic systems in production using observability tooling; iterate rapidly based on real user behavior and feedback
  • Collaborate cross-functionally with engineers, data teams, and compliance stakeholders to ensure AI outputs meet accuracy and regulatory standards

Professional Qualifications

  • 3+ years of professional software engineering experience, with at least 1 year building and shipping AI/LLM-powered applications in production
  • Hands-on experience with AWS AI/ML services - Bedrock, Strands, AgentCore, SageMaker, or equivalent agentic frameworks
  • Strong understanding of agentic patterns: tool use, RAG, memory management, multi-agent orchestration, and human-in-the-loop design
  • Experience designing and evaluating LLM pipelines including prompt engineering, output validation, and hallucination mitigation
  • Familiarity with AI observability, evaluation frameworks, and responsible AI practices
  • Ability to work in an agile environment and communicate complex AI concepts clearly to both technical and non-technical audiences
  • Bachelor's degree in Computer Science, Machine Learning, relevant technical field, or equivalent practical experience

Personal Characteristics

  • Strong coding skills in Python and/or TypeScript; comfort working across the stack as needed
  • Experience with AWS cloud infrastructure, IAM, Lambda, and related services; DataDog and GitHub CI/CD a plus
  • Curiosity-driven - you stay current with fast-moving AI research and tooling and bring new ideas to the team
  • High ownership mentality - you care about what happens after the code ships
  • Passion for building AI systems that are not just capable, but trustworthy and reliable in a compliance-sensitive environment

Compensation 

The base salary range for this role is $130,000 - $170,000. Certain roles may be eligible for incentive compensation, equity, and benefits. Actual compensation will vary depending on various job-related factors, including, but not limited to location, experience, level, and job qualifications.

Benefits & Perks

  • Competitive cash compensation (based on experience)
  • Equity (RSUs)
  • Competitive benefits package
  • A modern 401(k) plan that includes access to crypto, financial wellness benefits, low fees and more 
  • Hybrid working model: 3 days in-office, 2 days WFH/flexible
  • Monday team lunches, snacks and drinks 
  • Discretionary Time Off - enjoy the flexibility to rest, refuel, and recharge 
  • Paid parental leave to bond with your child 
  • Fertility Benefit 
  • Autonomous work and flexibility in how work is performed