Enterprise AI & Microsoft Cloud

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Hiring Remotely in United States
Remote
Expert/Leader
Software
The Role
Leads a development team delivering secure, production-ready enterprise AI agents and integrations across Microsoft 365 Copilot, Copilot Studio, Microsoft Foundry, and Azure. Responsibilities include hands-on coding, architecture implementation, API and enterprise integration design, security and governance, testing, CI/CD, deployment readiness, troubleshooting, mentoring, and technical documentation. The role partners with architects and client stakeholders to resolve technical challenges and establish scalable engineering standards.
Summary Generated by Built In

Orion Innovation is a premier, award-winning, global business and technology services firm.  Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity.  We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.

Experience: 8–10 years 

Work Location: Client location / Onsite 

Engagement: Dedicated enterprise AI and Microsoft cloud transformation program 

Role Type: Hands-on technical leadership and software engineering 

Role Overview 

We are looking for a hands-on PoD Lead to lead a team of developers building enterprise AI solutions within the Microsoft 365 E7 ecosystem. The role combines technical leadership, solution implementation, code development, design reviews, and team mentoring. 

The PoD Lead will work closely with solution architects, client stakeholders, and other engineering teams to translate architecture and business requirements into secure, scalable, production-ready AI agents and integrations using Microsoft 365 Copilot, Copilot Studio, Microsoft Foundry, and Azure services. 

Key Responsibilities 

  • Lead a team of developers responsible for implementing enterprise AI agents, integrations, and supporting services. 
  • Translate solution architecture and technical requirements into implementation designs, development tasks, and engineering standards. 
  • Remain hands-on with coding, configuration, prototyping, troubleshooting, and resolving complex technical issues. 
  • Guide the development of agents and workflows using Copilot Studio, Microsoft Foundry, Azure AI services, and related Microsoft technologies, according to the selected architecture. 
  • Design and review integrations with enterprise APIs, business applications, data sources, and knowledge repositories. 
  • Establish and enforce coding standards, reusable components, secure development practices, code reviews, and automated testing. 
  • Guide implementation of authentication, authorization, tool permissions, knowledge access, error handling, and appropriate guardrails. 
  • Ensure agents meet functional, performance, quality, security, and governance requirements before deployment. 
  • Collaborate with architects, governance specialists, IT operations, and client technical teams to resolve dependencies and technical challenges. 
  • Support CI/CD, environment configuration, deployment readiness, production troubleshooting, and operational handover. 
  • Mentor developers, conduct technical knowledge-sharing sessions, and build engineering capability within the pod. 
  • Contribute reusable agent patterns, integration components, reference implementations, and technical documentation. 

Mandatory Skills and Experience 

  • 8–10 years of experience in software development, cloud engineering, or enterprise application delivery, including hands-on technical leadership. 
  • Demonstrated experience leading a development team while remaining actively involved in engineering and implementation. 
  • Strong programming skills in Python and/or C#, with experience building APIs, backend services, and enterprise applications. 
  • Strong understanding of Microsoft Azure services, cloud application architecture, identity, security, and enterprise integrations. 
  • Experience designing and implementing REST APIs, authentication and authorization, error handling, and integration patterns. 
  • Good understanding of software engineering principles, object-oriented design, code quality, unit testing, and secure coding. 
  • Experience with source control, code reviews, CI/CD pipelines, and development lifecycle management. 
  • Ability to interpret architecture designs, make sound implementation decisions, and resolve complex technical problems. 
  • Strong technical communication, mentoring, and collaboration skills in a client-facing delivery environment. 

Preferred Skills 

  • Hands-on experience building Microsoft Copilot Studio agents, topics, actions, connectors, and workflows. 
  • Experience with Microsoft Foundry, Azure OpenAI, Azure AI Search, retrieval-augmented generation (RAG), and agent orchestration. 
  • Familiarity with Semantic Kernel, LangChain, LangGraph, or similar agent development frameworks, where relevant to the selected architecture. 
  • Experience implementing tool calling, conversation context, structured outputs, human approval workflows, and agent evaluation. 
  • Understanding of prompt engineering, prompt injection risks, guardrails, grounding, and Responsible AI practices. 
  • Familiarity with Microsoft Entra, Microsoft Purview, Microsoft Defender, and enterprise governance requirements. 
  • Experience with Azure DevOps or GitHub Actions, automated testing, infrastructure as code, and application observability. 
  • Relevant Microsoft Azure, AI, or developer certifications. 

Expected Outcomes 

  • Delivery of high-quality, maintainable, and secure agent implementations and supporting integrations. 
  • Consistent engineering standards, effective code reviews, and strong test coverage. 
  • Timely resolution of technical blockers and sound implementation decisions. 
  • Improved developer productivity through mentoring, reusable components, and shared engineering patterns. 
  • Successful integration of governance and security requirements into the development lifecycle. 
  • Production-ready solutions with complete technical documentation and operational handover. 

Candidate Profile 

The ideal candidate is a strong software engineer who has progressed into technical leadership without losing hands-on development skills. They should be comfortable designing solutions, writing and reviewing code, mentoring developers, troubleshooting complex problems, and working directly with client architects and technical stakeholders to deliver enterprise-grade AI solutions. 


Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Candidate Privacy Policy

Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains:

  • What information we collect during our application and recruitment process and why we collect it;
  • How we handle that information; and
  • How to access and update that information.

Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.


Skills Required

  • 8-10 years of experience in software development, cloud engineering, or enterprise application delivery, including hands-on technical leadership.
  • Experience leading a development team while remaining actively involved in engineering and implementation.
  • Strong programming skills in Python and/or C#.
  • Experience building APIs, backend services, and enterprise applications.
  • Strong understanding of Microsoft Azure services, cloud application architecture, identity, security, and enterprise integrations.
  • Experience designing and implementing REST APIs, authentication and authorization, error handling, and integration patterns.
  • Understanding of software engineering principles, object-oriented design, code quality, unit testing, and secure coding.
  • Experience with source control, code reviews, CI/CD pipelines, and development lifecycle management.
  • Ability to interpret architecture designs, make implementation decisions, and resolve complex technical problems.
  • Strong technical communication, mentoring, and collaboration skills in a client-facing delivery environment.
  • Hands-on experience building Microsoft Copilot Studio agents, topics, actions, connectors, and workflows.
  • Experience with Microsoft Foundry, Azure OpenAI, Azure AI Search, retrieval-augmented generation, and agent orchestration.
  • Familiarity with Semantic Kernel, LangChain, LangGraph, or similar agent development frameworks.
  • Experience implementing tool calling, conversation context, structured outputs, human approval workflows, and agent evaluation.
  • Understanding of prompt engineering, prompt injection risks, guardrails, grounding, and Responsible AI practices.
  • Familiarity with Microsoft Entra, Microsoft Purview, Microsoft Defender, and enterprise governance requirements.
  • Experience with Azure DevOps or GitHub Actions, automated testing, infrastructure as code, and application observability.
  • Relevant Microsoft Azure, AI, or developer certifications.

Orion Innovation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Orion Innovation and has not been reviewed or approved by Orion Innovation.

  • Flexible Benefits — Flexibility, remote or hybrid work options, and wellness initiatives are described as available in many locations. Feedback suggests scheduling flexibility and wellness support are notable parts of the package.
  • Wellbeing & Lifestyle Benefits — Wellness resources, mindfulness programs, and fitness or sports benefits are mentioned in several regions. Feedback suggests these offerings add non-cash value to the overall package.
  • Retirement Support — 401(k) plans with potential company match are referenced in U.S.-oriented listings. Feedback suggests retirement options exist, though the strength of matching varies.

Orion Innovation Insights

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The Company
HQ: Edison, NJ
3,410 Employees
Year Founded: 1993

What We Do

Orion is a leading digital transformation and product development services firm. Headquartered in Edison, NJ, we have a global team of 6,200+ associates, with engineers in 14 major delivery centers across North America, Europe, Asia Pacific and Latin America. For over 25 years, Orion has been solving complex business problems for our clients. Our transformative business solutions are rooted in digital strategy, experience design, and engineering, empowering our clients to operate with agility at scale.​ Our mission is to serve as an agile and trusted partner for business transformation initiatives, providing deep emerging technology, experience design, and domain expertise.​ Our business has more than tripled over the last three years. ​ We have grown aggressively both organically and inorganically, adding new clients, complementary skills, domain expertise, and strengthening our global footprint.

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