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D.A. Davidson Companies • Missoula, Montana, United States
Salary: $90,000 - $120,000 / year
Role & seniority: Mid-Level AI and Automation Engineer (mid-level) in a financial services/wealth management context
Stack/tools: Microsoft 365 Copilot Studio; Power Automate and Power Platform; Azure AI (OpenAI, Cognitive Services); Azure DevOps/GitHub Actions; REST APIs; Azure AI Foundry; CI/CD pipelines
Design, develop, and optimize AI-powered workflows and assistants using Copilot Studio and Power Platform
Integrate enterprise data/systems and ensure secure, compliant AI solutions (data governance, audit logging)
Implement AI best practices (prompt engineering, model fine-tuning, RAG) and maintain CI/CD, monitoring, and documentation
5+ years in software development or automation engineering
Proficiency with Power Automate and Power Platform; familiarity with M365 Copilot or similar AI bot development
Programming in Python, C#, or JavaScript; REST APIs; data integration
Azure cloud services and AI/ML knowledge; experience deploying in cloud environments
DevOps mindset: Git/Bitbucket; CI/CD (Azure DevOps, GitHub Actions); monitoring/telemetry
Strong problem-solving, communication, and cross-functional collaboration
Microsoft 365 Copilot Studio production experience; advanced AI/ML skills (LLMs, prompt tuning, RAG, vector DBs)
Financial services/wealth management domain knowledge; regulatory and security/compliance experience
Security/Responsible AI practice
D. A. Davidson Companies is an independent, employee-owned company with a rich history spanning more than 80 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.
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
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
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
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
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.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.