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Integration Engineer Jobs in Montana (NOW HIRING)

You will work on integrating large language model solutions into enterprise systems, ensuring they ... Programming Skills: Proficiency in at least one programming or scripting language (such as Python ...

AI & Automation Engineer

Great Falls, MT · On-site

$90K - $120K/yr

You will work on integrating large language model solutions into enterprise systems, ensuring they ... Programming Skills: Proficiency in at least one programming or scripting language (such as Python ...

AI & Automation Engineer

Helena, MT · On-site

$90K - $120K/yr

You will work on integrating large language model solutions into enterprise systems, ensuring they ... Programming Skills: Proficiency in at least one programming or scripting language (such as Python ...

You will work on integrating large language model solutions into enterprise systems, ensuring they ... Programming Skills: Proficiency in at least one programming or scripting language (such as Python ...

Project Engineer

Great Falls, MT · On-site

$90 - $120/hr

Quanta's focus on the utility industry and HBK's focus on constructability in our designs has made our integration into the Quanta family of companies seamless. About this Role HBK Engineering is ...

New

Project Engineer

Black Eagle, MT · On-site

$85 - $120/hr

Quanta's focus on the utility industry and HBK's focus on constructability in our designs has made our integration into the Quanta family of companies seamless. About this Role HBK Engineering is ...

AI & Automation Engineer

Bozeman, MT · On-site

$90K - $120K/yr

You will work on integrating large language model solutions into enterprise systems, ensuring they ... Programming Skills: Proficiency in at least one programming or scripting language (such as Python ...

You will work on integrating large language model solutions into enterprise systems, ensuring they ... Programming Skills: Proficiency in at least one programming or scripting language (such as Python ...

Project Engineer

Black Eagle, MT · On-site

$90 - $120/hr

Quanta's focus on the utility industry and HBK's focus on constructability in our designs has made our integration into the Quanta family of companies seamless. About this Role HBK Engineering is ...

New

AI & Automation Engineer

Missoula, MT · On-site

$90K - $120K/yr

You will work on integrating large language model solutions into enterprise systems, ensuring they ... Programming Skills: Proficiency in at least one programming or scripting language (such as Python ...

Senior Systems Engineer

Belgrade, MT · On-site

$111K - $153K/yr

Support customer integration activities and product rollouts, providing technical support and engineering presence for US-based customers * Serve as local engineering point of contact for product ...

Showing results 21-40

Integration Engineer information

See Montana salary details

$40.8K

$114.1K

$159.2K

How much do integration engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for integration engineer in Montana is $114,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,500.00 and $128,500.00 per year, depending on experience, location, and employer.

What is an integration engineer?

Integration Engineers are IT professionals who specialize in connecting different software systems, applications, or technologies to ensure they work together seamlessly. Their responsibilities often include designing integration solutions, troubleshooting issues, and maintaining data flow between systems. They collaborate with development, operations, and business teams to implement and optimize integrations, ensuring that the organization's technology ecosystem runs efficiently. Integration Engineers often work with APIs, middleware, and various programming languages to achieve these goals.

What are the key skills and qualifications needed to thrive as an integration engineer?

To thrive as an Integration Engineer, you need a solid background in computer science, experience with system integration, and proficiency in programming languages such as Java, Python, or C#. Familiarity with integration platforms (like MuleSoft, Dell Boomi, or Apache Camel), APIs, and relevant certifications is often required. Excellent problem-solving abilities, strong communication, and adaptability are vital soft skills in this role. These competencies ensure seamless connection of systems, effective troubleshooting, and smooth collaboration with cross-functional teams.

What are some common challenges integration engineers face when connecting disparate systems, and how are they typically addressed?

Integration Engineers often encounter challenges such as data format incompatibility, varying communication protocols, and legacy system limitations when connecting different software or hardware systems. To address these, they use middleware solutions, develop custom adapters, and leverage standardized APIs or integration platforms to ensure seamless data flow. Regular collaboration with software developers, IT staff, and business stakeholders is essential to understand system requirements and troubleshoot integration issues efficiently.

What is the difference between Integration Engineer vs Software Developer?

AspectIntegration EngineerSoftware Developer
CredentialsBachelor's in Computer Science or related field; certifications like Cisco, AWS may helpBachelor's in Computer Science or related field; coding certifications optional
Work EnvironmentCollaborates with IT, network teams, and clients to implement integrationsWorks primarily on coding, designing, and testing software applications
Industry UsageCommon in tech, healthcare, finance for system integrationsWidespread across all software development sectors
Search & Comparison IntentOften compared for technical skills and project scopeCompared for coding skills and software design expertise

The main difference is that Integration Engineers focus on connecting and configuring systems and software to work together seamlessly, often involving network and hardware components. Software Developers primarily design, code, and test software applications. Both roles require technical skills, but Integration Engineers emphasize system integration and interoperability, while Software Developers focus on creating software solutions.

How much do integration engineers make?

Integration engineers in general earn a median salary of around $80,000 to $120,000 annually, depending on experience, certifications, and the industry. In metropolitan areas, salaries tend to be higher due to cost of living and demand for technical skills such as API development, system integration, and cloud platforms.
More about Integration Engineer jobs

What are the most commonly searched types of Integration Engineer jobs in Montana?

The most popular types of Integration Engineer jobs in Montana are:

What are popular job titles related to Integration Engineer jobs in Montana?

For Integration Engineer jobs in Montana, the most frequently searched job titles are:

What job categories do people searching Integration Engineer jobs in Montana look for?

The top searched job categories for Integration Engineer jobs in Montana are:

Infographic showing various Integration Engineer job openings in Montana as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 100% In-person job distribution, with an average salary of $114,065 per year, or $54.8 per hour.

Full-time

Re-posted 2 hours ago


Job description

Job Summary:
D.A. Davidson Companies is an independent, employee-owned company with a rich history spanning 90 years. They are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within their Microsoft-based environment, focusing on building intelligent assistants and automated workflows to transform business processes in the financial services domain.
Responsibilities:
• 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.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• 5+ years of experience in software development, automation engineering, or similar roles.
• 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).
• 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.
• 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.).
• 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.
• 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.
• Align efforts with other lines-of-business and functional areas, such as our partners in Operations, Finance, Wealth Management, and more.
• 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.
Preferred:
• 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).
• 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.
• 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.
• Hands-on experience implementing security, compliance, and responsible AI practices in software.
• Familiarity with Microsoft’s Responsible AI guidelines, Azure Purview for data governance, or similar tools to control AI use.
• 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.
• Lots of experience working in highly-iterative development processes.
• Somebody prepared to deal with the boring and the tough.
Company:
D.A. Founded in 2002, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.