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Ai Automation Engineer Jobs in Seattle, WA (NOW HIRING)

D.A. Davidson

AI & Automation Engineer

Seattle, WA · On-site

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and ...

D.A. Davidson

AI & Automation Engineer

Seattle, WA · On-site

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and ...

D.A. Davidson

AI & Automation Engineer

Seattle, WA · On-site

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and ...

Wipro Limited

AI Automation Engineer L1

Bellevue, WA · On-site

$100K - $180K/yr

AI Automation Engineer L1 City: Bellevue State/Province: Washington Posting Start Date: 7/30/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting ...

Wipro Technologies

AI Automation Engineer L1

Bellevue, WA · On-site

$100 - $180/hr

AI Ops (ML Ops, Agent Ops & LLM Ops) Workflow * Python , SQL * System Design * MCP Client server design Mandatory Skills: Enterprise Platform Engineering Python.Experience: 8-10 Years. The expected ...

Apex Systems

Automation Engineer

Bellevue, WA · On-site

Job#: 3039123 AI Automation Engineer Location: Remote Work Type: Contract Role Overview We are seeking an Automation Engineer to support key helpdesk initiatives. This role involves the full redesign ...

Amazon

Sr SDM, AI Automation, PV AI Automation

Seattle, WA · On-site

$118K - $155K/yr

... of premium programming in one app available across thousands of devices. Prime members can ... technical strategy for AI-driven business automation across Prime Video. Lead the design ...

JLL

Automation Engineer

Kent, WA · On-site

Automation Engineer - JLL What this job involves: We are seeking an experienced Automation Engineer ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

Adobe

Senior Security Automation Engineer

Seattle, WA

$118K - $155K/yr

As a Senior Security Automation Engineer, you'll design and build production-grade automation ... Design and deploy agentic AI systems, including multi-step autonomous workflows with agent ...

EnerSys

Senior Finance AI & Automation Developer

Sumner, WA · On-site +1

$95K - $142K/yr

Job Purpose The Senior Finance AI & Automation Developer's primary responsibilities are to design, build, & deploy automation and AI-driven solutions across Finance processes. These projects will ...

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All JobsAi Automation Engineer JobsAi Automation Engineer Jobs in Seattle, WA

Ai Automation Engineer information

See Seattle, WA salary details

$42.1K

$121.9K

$185.5K

How much do ai automation engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for ai automation engineer in Seattle, WA is $121,913.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $140,500.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

What is the difference between Ai Automation Engineer vs Data Scientist?

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

Is AI automation a high paying job?

AI automation engineers typically earn higher-than-average salaries due to their specialized skills in machine learning, programming, and data analysis. Salaries vary based on experience, location, and industry, but the role is generally considered well-compensated within the tech field.

Is AI automation engineer in demand?

AI automation engineers are in high demand due to the increasing adoption of artificial intelligence and automation across industries. They are needed to develop, implement, and maintain AI-driven systems, often requiring skills in machine learning, programming, and data analysis. Job opportunities are growing as companies seek to improve efficiency and innovation through automation technologies.

What are popular job titles related to Ai Automation Engineer jobs in Seattle, WA?

For Ai Automation Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Ai Automation Engineer jobs in Seattle, WA look for?

The top searched job categories for Ai Automation Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Ai Automation Engineer jobs?

Cities near Seattle, WA with the most Ai Automation Engineer job openings:

Ai Automation Engineer jobs near you
Infographic showing various Ai Automation Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $121,913 per year, or $58.6 per hour.

AI & Automation Engineer

Seattle, WA • On-site

D.A. Davidson

7.9

Company rating: 7.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Great coworkers

Good employer

Respectful managers

Learn more about D.A. Davidsonexternal

Full-time

Medical, Dental, Vision, PTO

Re-posted 5 days ago

Job description

D.A. Davidson Companies is an independent, employee-owned company with a rich history spanning 90 years. We are dedicated to conducting our business in accordance with the highest standards of integrity and ethics, and delivering outstanding service to our clients and each other. We support a friendly, open and supportive culture, and encourage candid communication and productive engagement that make our companies and each of us better. Just as we work to improve our clients' financial well-being, we also work to strengthen local communities-and giving back is one of our core values. You can learn more about our company culture and impact in our latest annual report.

Summary/Function:
We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and automated workflows using tools like Microsoft 365 Copilot Studio, Power Automate, and Azure AI Foundry. The ideal candidate will combine software engineering expertise with a passion for leveraging AI to transform business processes in a financial services and wealth management domain. You will work on integrating large language model solutions into enterprise systems, ensuring they are secure, compliant, and deliver real value to end-users.
 
Qualifications:
Education & Experience: Bachelor's degree in Computer Science, Software Engineering, or related field. 5+ years of experience in software development, automation engineering, or similar roles.
Microsoft Ecosystem Proficiency: Hands-on experience with Microsoft Power Automate and related Power Platform tools for workflow automation. Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI services, cognitive services).
Programming Skills: Proficiency in at least one programming or scripting language (such as Python, C#, or JavaScript) to extend and customize solutions. Experience building or consuming RESTful APIs and working with data integration.
Cloud & AI Knowledge: Working knowledge of Azure cloud services and AI/ML frameworks. Ability to deploy applications or automations in a cloud environment and integrate AI APIs (Azure OpenAI, Azure Cognitive Services, etc.).
DevOps Mindset: Experience with version control (git and Bitbucket) and continuous integration/continuous deployment (CI/CD) pipelines for software projects. Comfortable using tools like Azure DevOps or GitHub Actions to automate build-test-deploy processes. 
Problem-Solving & Communication: Strong analytical and problem-solving skills with a track record of delivering solutions that meet business needs. Excellent communication skills to work effectively with both technical and non-technical team members.
Coordination: Align efforts with other lines-of-business and functional areas, such as our partners in Operations, Finance, Wealth Management, and more.
 
Preferred Qualifications:
Copilot Studio Expertise: Experience with Microsoft 365 Copilot Studio - for example, having built or managed AI copilots/agents in a production setting. Knowledge of designing conversation flows, topics, tools, and using Copilot's advanced features (custom actions, agent-to-agent workflows).
Advanced AI & ML Skills: Familiarity with large language models beyond basic API usage - e.g., experience with prompt tuning, deploying LLMs, or implementing retrieval-augmented generation (RAG) pipelines with vector databases for domain-specific Q&A. Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer vision, speech, and more. 
Financial Services Experience: Background in financial services or wealth management technology projects. Understanding of industry regulatory requirements (e.g. data privacy, audit, model risk management) and how to design AI solutions that comply with them.
Security & Compliance Focus: hands-on experience implementing security, compliance, and responsible AI practices in software. For instance, familiarity with Microsoft's Responsible AI guidelines, Azure Purview for data governance, or similar tools to control AI use.
Innovation & Leadership: Demonstrated initiative in previous roles - maybe you introduced a new automation tool, led a pilot of an AI solution, or actively contributed to AI/automation communities. Microsoft certifications in Azure AI, Power Platform, or related areas would be an advantage, reflecting your commitment to staying current.
Lean and Agile background: Lots of experience working in highly-iterative development processes.  You understand the principles of them but aren't married to any particular methodology.
Patience: Somebody prepared to deal with the boring and the tough.  Every minute of every day in an AI role isn't always deploying new models and agents.  An engineer in this role must also be willing and able to take on things like vendor integration, bug fixing, and other operational and administrative work that comes up day-to-day.
 
The following is required from all associates of D.A. Davidson Companies:
Commitment to maintain client confidentiality and data security
Communicate in a clear and service-oriented manner; use appropriate, professional language and grammar to effectively exchange ideas and information
Ability to proactively work with both external and internal clients; relate with others in a professional manner to accomplish work responsibilities and objectives
Ability to maintain regular, predictable attendance
 
Duties:
Design and Develop AI-Powered Workflows: Use Microsoft Copilot Studio and Power Platform (Power Automate, Power Apps) to design, build, and optimize AI assistants and automated workflows that enhance employee productivity and decision-making. 
Integrate Enterprise Data and Systems: Connect AI copilots to enterprise data sources and APIs, enabling context-rich automation (e.g. integrating Azure AI services or databases with Copilot agents for real-time information retrieval).
Apply AI Best Practices: Implement prompt engineering techniques and fine-tune AI models or prompts to improve the relevance and accuracy of Copilot responses. Utilize Azure OpenAI or similar services to incorporate advanced language AI capabilities when needed.
Ensure Compliance and Security: Build solutions with robust security, privacy, and compliance controls in mind, aligning with corporate policies and industry regulations (financial data protection, responsible AI use, audit logging). Work closely with governance teams to enforce security standards for AI integrations.
DevOps and Monitoring: Develop CI/CD pipelines for deploying and updating AI agents or automation workflows, ensuring smooth rollouts and version control. Set up monitoring and telemetry dashboards to track performance, usage, and quickly address any issues.
Collaboration and Iteration: Work in an Agile team alongside product managers, business analysts, and designers to refine requirements and user stories. Iterate on solutions based on user feedback and analytics, continuously improving the AI assistants' effectiveness.
Documentation and Training: Document solution designs, workflows, and configurations. Help create user guides or demo sessions to drive adoption of the new AI-powered tools among employees and stakeholders.
 
What do we offer:
Competitive salary plus excellent benefits and perks including, but not limited to:  
Medical, Dental and Vision
Company 401(k)and ESOP contribution 
Generous sick, vacation, and maternity/parental leave
Paid holidays
Professional Development Opportunities
Tuition Reimbursement ($15,000 lifetime cap)
Discounted personal insurance including home, auto and recreational vehicles
Charitable gift-matching program
Davidson Day of Giving - Our tradition of positively impacting communities in which we live and work.  
 
The potential base pay hiring range for this role is $90,000 - $120,000 annually. The compensation offered will be determined on a case-by-case basis considering a variety of factors including, but not limited to, the skills, relevant work experience, and geographic location of each specific candidate. This role is eligible to participate in applicable D.A. Davidson variable compensation programs. 
$90,000 - $120,000 a year
At D.A. Davidson, we are committed to fostering a diverse environment that supports the development and inclusivity of all employees.
 
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
 
ACKNOWLEDGMENT
Please answer all questions carefully.  By submitting this application for employment, I certify that all of the above information is true and complete and I understand that any falsification or omission of information made by me may disqualify me from further consideration for employment or, if hired, may result in my termination of my employment at any time during the period of my employment, regardless of the amount of time that has passed. California applicants, please see D.A. Davidson's California Resident Privacy Policy.
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