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Calix
Calix

Specializes in providing software platforms, systems, and services to support the delivery of broadband services.

M365 Copilot Solution Engineer

직무엔지니어링
경력미들급
위치2 Locations
근무오피스 출근
고용정규직
게시2개월 전
지원하기

필수 스킬

Git

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.

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Calix 소개

Calix

Calix

Public

Calix, Inc. is a telecommunications company that specializes in providing software platforms, systems, and services to support the delivery of broadband services. The company was founded in 1999 and is headquartered in San Jose, California.

1,001-5,000

직원 수

San Jose

본사 위치

리뷰

10개 리뷰

4.0

10개 리뷰

워라밸

3.8

보상

3.2

문화

4.1

커리어

2.8

경영진

3.4

72%

지인 추천률

장점

Flexible work arrangements and hours

Good benefits and health perks

Supportive team and management

단점

Limited career advancement and slow promotions

Heavy workload and occasional long hours

Compensation could be better

연봉 정보

197개 데이터

Senior/L5

Senior/L5 · Data Analytics Product Owner

1개 리포트

$147,168

총 연봉

기본급

$127,754

주식

-

보너스

-

$147,168

$147,168

면접 후기

후기 3개

난이도

3.0

/ 5

소요 기간

14-28주

합격률

33%

경험

긍정 33%

보통 67%

부정 0%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience