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Manager Ai Automation Jobs (NOW HIRING)

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

AI & Automation Implementation * Build, implement, and maintain AI-enabled automation workflows ... Configure and manage AI steps within workflows, including prompts, logic, inputs/outputs, and ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities ... Background in financial services or wealth management technology projects. Understanding of ...

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Manager Ai Automation information

See salary details

$31K

$116.6K

$169.5K

How much do manager ai automation jobs pay per year?

As of May 31, 2026, the average yearly pay for manager ai automation in the United States is $116,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $139,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager AI Automation, and why are they important?

To thrive as a Manager AI Automation, you need a strong background in computer science or engineering, experience with AI and machine learning, and proven leadership in managing technical teams. Familiarity with automation tools like UiPath or Blue Prism, cloud platforms such as AWS or Azure, and relevant certifications (e.g., Certified AI Practitioner) are highly valued. Exceptional problem-solving, project management, and communication skills help you effectively lead cross-functional teams and drive strategic initiatives. These competencies are vital for delivering innovative automation solutions that optimize business operations and align with organizational goals.

How does a Manager of AI Automation typically collaborate with other departments within an organization?

A Manager of AI Automation regularly works cross-functionally, partnering with teams such as IT, operations, data science, and business units to identify automation opportunities and align project goals with organizational objectives. They facilitate communication between technical staff and non-technical stakeholders, ensuring that automation initiatives meet business needs while adhering to technical feasibility and compliance standards. Effective collaboration is key to managing expectations, driving adoption, and delivering successful AI automation solutions that create measurable value.

What does a Manager AI Automation do?

A Manager AI Automation oversees the implementation and management of artificial intelligence (AI) solutions that automate business processes. This role involves leading teams, coordinating projects, and ensuring that AI technologies are effectively integrated into existing workflows to drive efficiency and innovation. They also collaborate with stakeholders to identify automation opportunities, monitor outcomes, and ensure compliance with industry standards. Strong technical, project management, and leadership skills are essential for success in this position.

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

AspectManager Ai AutomationData Scientist
Required CredentialsBachelor's or Master’s in Computer Science, Engineering, or related field; experience in AI/Automation projectsBachelor's or Master’s in Data Science, Statistics, Computer Science; proficiency in programming and statistical analysis
Work EnvironmentLeads teams, manages AI automation projects, collaborates with IT and business unitsAnalyzes data, develops models, interprets complex datasets, often in research or analytics teams
Industry UsageCommon in tech, manufacturing, finance, and automation-focused companiesWidely used across tech, healthcare, finance, and research sectors

The main difference is that a Manager Ai Automation oversees AI automation projects and manages teams, while a Data Scientist focuses on analyzing data and developing models. Both roles require technical skills, but their responsibilities and work environments differ significantly.

More about Manager Ai Automation jobs
What cities are hiring for Manager Ai Automation jobs? Cities with the most Manager Ai Automation job openings:
What are the most commonly searched types of Ai Automation jobs? The most popular types of Ai Automation jobs are:
What states have the most Manager Ai Automation jobs? States with the most job openings for Manager Ai Automation jobs include:
Infographic showing various Manager Ai Automation job openings in the United States as of May 2026, with employment types broken down into 87% Full Time, 3% Part Time, and 10% Contract. Highlights an 74% In-person, 3% Hybrid, and 23% Remote job distribution, with an average salary of $116,607 per year, or $56.1 per hour.
AI & Automation Engineer

Full-time

Medical, Dental, Vision, PTO

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.
$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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