Calix Logo

Calix

M365 Copilot Solution Engineer

Reposted 10 Days Ago
Remote
Hiring Remotely in USA
104K-212K Annually
Senior level
Remote
Hiring Remotely in USA
104K-212K Annually
Senior level
Design, develop, and maintain enterprise M365 Copilot agents using Copilot Studio. Translate business requirements into secure technical designs, implement API integrations and A2A orchestration, apply software engineering best practices, conduct testing, and collaborate with governance and stakeholders to deliver production-grade AI solutions.
The summary above was generated by AI
This position in needed to be able to manage the full lifecycle of AI solutions built using Microsoft Copilot Studio and develop AI solutions that leverage API integration, MCP server integration, and Agent2Agent (A2A) orchestration.

We are seeking a highly skilled and experienced Microsoft Copilot Agent Developer. This person will design, develop, and maintain advanced M365 Copilot AI solutions following professional software development practices. This critical role focuses on building sophisticated solutions that require integration with enterprise APIs, complex business logic, and mission-critical workflows. This position is based in North America, and candidates must be authorized to work in this region. 

The M365 Copilot Solution Engineer will collaborate with business stakeholders to translate complex needs into technology solutions. They will work closely with the Digital Transformation team to ensure solutions meet all security, compliance, and architectural requirements. This person will build and manage enterprise AI products that deliver significant value to our organization. 

Key Responsibilities:

  • Engage with business stakeholders to deeply understand requirements for proposed Copilot agents that necessitate custom, low-code, and pro-code development. 

  • Translate business needs into detailed technical designs, including defining backend services, connectors, authentication mechanisms, and overall agent structure. 

  • Create and maintain design documentation and diagrams, ensuring review and alignment with the Governance Lead and architectural baselines. 

  • Implement Copilot agents using Copilot Studio, Microsoft 365 Agents SDK and VS Code toolkit. 

  • Develop the agent's manifest (defining commands, triggers, and connected APIs) and write supporting code. 

  • Implement API call logic, integrate with external libraries/SDKs, and handle complex data parsing and manipulation. 

  • Adhere to best-in-class software engineering practices, including source control (Git), modular code design, and robust unit testing for critical functions, treating each agent or component as a deployable software product. 

  • Lead and coordinate development efforts when multiple developers are involved. 

  • Partner with the Governance Lead to integrate security and compliance checks throughout the development lifecycle. 

  • Apply secure coding standards, including robust input validation and proper error handling. 

  • Champion the development of agents that are not only performant but inherently trustworthy by design. 

  • Conduct thorough testing of agent functionality, including functionality, performance, and security testing. 

  • Ensure agents meet rigorous quality standards before packaging for deployment. 

Qualifications

  • Bachelor's degree in computer science, Software Engineering, a related field or equivalent practical experience 

  • Minimum of 8 years' experience delivering complex enterprise software applications 

  • Ability to manage the full lifecycle of AI solutions built using Microsoft Copilot Studio 

  • Ability to develop AI solutions that leverage API integration, MCP server integration, and Agent2Agent (A2A) orchestration 

  • Working knowledge of Microsoft 365 ecosystem and development tools (e.g., VS Code, Azure AD, Microsoft Graph API) 

  • Working knowledge of Microsoft Power Platform (Power Apps, Power Automate, Power BI, Power Virtual Agents) 

  • Working knowledge of version control systems (Git) and modern software development practices (e.g., CI/CD, unit testing, code reviews) 

  • Understanding of security best practices in modern software development 

Technical Skills: 

  • Required: Microsoft Copilot Studio, JavaScript, RESTful APIs, JSON, Git 

  • Strongly Preferred: Microsoft 365 Agents SDK, VS Code Toolkit, Azure services (Azure Key Vault, Azure AD), OAuth 2.0, and Microsoft Graph API 

  • Familiarity with: AI/ML concepts, Large Language Models (LLMs), prompt engineering 

Soft Skills: 

  • Exceptional problem-solving and analytical skills 

  • Strong communication and interpersonal skills, with the ability to collaborate effectively with technical teams and non-technical business stakeholders 

  • Ability to translate complex business requirements into technical solutions 

  • Detail-oriented with a commitment to quality and secure development practices 

  • Proactive, self-motivated, and able to work independently as well as part of a team 

 

The base pay range for this position varies based on the geographic location. More information about the pay range specific to candidate location and other factors will be shared during the recruitment process. Individual pay is determined based on location of residence and multiple factors, including job-related knowledge, skills and experience.

San Francisco Bay Area:

132,300 - 211,600 USD Annual

Select US Metros and States:

115,000 - 184,000 USD Annual

Other US Locations:

103,500 - 165,600 USD Annual

As a part of the total compensation package, this role may be eligible for a bonus. For information on our benefits click here.

Top Skills

Git
JavaScript
JSON
Microsoft Copilot Studio
Restful Apis

Similar Jobs

7 Hours Ago
Remote
204K-276K Annually
Expert/Leader
204K-276K Annually
Expert/Leader
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Lead design and implementation of shared, reusable data models and a certified metrics layer. Standardize pipeline patterns, CI/CD, and governance; modernize orchestration and observability; partner with Data Science, Infrastructure, and Product to deliver reliable analytics pipelines and enable AI-native data development.
Top Skills: AirflowAtlanDatabricksDatabricks Metric ViewsDbtDbt MetricflowDelta LakeGreat ExpectationsMonte CarloPythonSpark SqlSQLUnity Catalog
7 Hours Ago
Remote
Expert/Leader
Expert/Leader
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Own and drive technical outcomes for Dropbox, defining long-term strategies. Lead AI adoption, influence roadmaps, and ensure engineering excellence across multiple teams, remaining hands-on in software development.
Top Skills: AIConcurrencyDatabasesDistributed SystemsFrontendMlMobileSearchStorage Systems
7 Hours Ago
Remote
190K-258K Annually
Expert/Leader
190K-258K Annually
Expert/Leader
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
The role involves designing and implementing scalable backend systems integrated with AI capabilities for media experiences, leading technical initiatives, and collaborating with multiple teams.
Top Skills: A/B TestingAIAPIsFile ProcessingMl

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account