Associate AI Solutions Engineer

We need to output HTML fragment with sections: About the role? The posting includes Overview, What We Do, Who We Are, Why You Should Join Us, Job Summary, Responsibilities, Qualifications, Preferred Qualifications, Pay (Min/Max). Also Benefits mentioned in Why You Should Join Us: total rewards package, 401k, medical insurance, free therapy visits, mental health coaching, meditation resources, generous PTO including wellness and volunteer time off. So Benefits section should be included. Schedule not mentioned, so omit. Pay section: we have min and max salary. So include Pay section with that info. Also maybe include About the role? The overview could be considered About the role. But we have Job Summary which is similar. We should not repeat job title. Use headings for sections that have real content: About the role (maybe from Overview/What We Do/Who We Are/Why You Should Join Us?), Responsibilities, Qualifications, Benefits, Pay. Preferred Qualifications could be part of Qualifications or separate? Could be a separate section "Preferred Qualifications". The instruction: use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It lists examples but not limited. We can include Preferred Qualifications as a heading if content exists. It does. So include that. We must not include boilerplate like EEO, scam warning, etc. Remove the fraud warning paragraph at end. Also remove navigation etc. Also remove duplicated lines. We need to preserve all substantive information. So include details from Overview, What We Do, Who We Are, Why You Should Join Us (benefits). Job Summary. Responsibilities list. Qualifications list. Preferred Qualifications list. Pay min/max. Benefits list from Why You Should Join Us. We need to format as HTML: use

for headings,

• for lists,

  for prose. We must not repeat job title as heading. No need. We must not include Pay/Schedule/Benefits unless posting actually states them. Benefits are stated, so include. Pay stated, include. Schedule not stated, omit. We must not create sections with filler like "commensurate with experience". Not present. We must output only HTML fragment, no markdown fences. Let's craft. First, maybe a short paragraph for About the role: combine Overview, What We Do, Who We Are, Why You Should Join Us? Actually Why You Should Join Us is benefits; but we can put that in Benefits section. About the role could be overview of company and role purpose. Use the Overview and Job Summary? But Job Summary is separate. Let's do:

  About the role

  CNXN Helix Center at Connection Inc. is at the forefront of AI innovation, offering cutting‑edge solutions that redefine the boundaries of artificial intelligence and data management. The team is made stronger by a multitude of backgrounds, experiences, and perspectives, driving innovation and technology solutions that stand apart.

  Then Job Summary maybe as part of About the role? But we have Job Summary heading not in list but could be considered "About the role". However we already have About the role. Could also add a separate heading "Job Summary". The instruction list includes About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. It does not list Job Summary. But we can still include a heading if it's real content? The instruction says: "Use

  for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It gives examples but not exclusive. It says "include a section ONLY when the posting has real, specific content for it". So we could add a heading "Job Summary" if we want, but it's not in the examples; but it's still a section heading. Probably safe to include as it's meaningful. However to be safe, maybe incorporate Job Summary content into About the role. But we already have About the role with overview; we could add Job Summary as a paragraph under About the role. That would preserve content. Responsibilities: list. Qualifications: list. Preferred Qualifications: list. Benefits: list from Why You Should Join Us. Pay: paragraph with min/max. We must not include the fraud warning. Let's extract details. Overview: "CNXN Helix Center at Connection Inc., is at the forefront of AI innovation, offering cutting-edge solutions that redefine the boundaries of artificial intelligence and data management. We are dedicated to helping our clients navigate the complexities of AI integration, ensuring they stay ahead in a rapidly evolving technological landscape. Our commitment to excellence, innovation, and strategic growth makes us an industry leader. Visit us at www.connection.com/helix" Who We Are: "Our team is made stronger by a multitude of backgrounds, experiences, and perspectives. It’s what makes Connection and Helix unique—what drives us to innovate and create technology solutions that stand apart from the crowd. We’d love for you to be a part of that fabric, to share your ideas and experiences with a team that thrives on fresh thinking, creativity, and helping others." Why You Should Join Us: includes benefits: supportive teammates, rewarding career, great benefits, total rewards package providing financial, emotional, physical resources; compensation, 401k plans, medical insurance, other benefits progressive and competitive; value emotional wellbeing; free therapy visits, mental health coaching and tools, meditation resources; generous paid time off package includes vacation, care time, Wellness and Volunteer Time Off days. Job Summary: "Build the next generation of enterprise AI solutions with hands-on engineering, modern Microsoft technologies, and collaborative technical guidance. We are looking for an Associate AI Solutions Engineer to help design, build, test, and deploy practical enterprise AI applications, copilots, and agents. In this hands-on role, you will work alongside senior engineers to turn business and technical requirements into secure, scalable AI-enabled solutions using Microsoft Foundry, Copilot Studio, Microsoft Fabric, Microsoft 365 Copilot and Agent Builder, Power Platform, Azure services, and GitHub Copilot development tools. This is a great opportunity for an early-career AI-focused engineer who already has experience in software, cloud, data, automation, or application engineering and wants to grow in the rapidly evolving space of generative AI and agentic applications. You will contribute to real-world solution delivery while developing deeper expertise in AI engineering practices, secure integrations, grounding and retrieval, evaluation, observability, and production deployment. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time." Responsibilities: list of bullet points (each sentence). We'll capture each as

  . Qualifications: list. Preferred Qualifications: list. Pay: "Min USD $86,000.00/Yr. Max USD $110,575.00/Yr." Now produce HTML. We'll need to escape any special characters? Not needed. Let's craft. Structure:

  About the role

  CNXN Helix Center at Connection Inc. is at the forefront of AI innovation, offering cutting‑edge solutions that redefine the boundaries of artificial intelligence and data management. We are dedicated to helping our clients navigate the complexities of AI integration, ensuring they stay ahead in a rapidly evolving technological landscape. Our commitment to excellence, innovation, and strategic growth makes us an industry leader. Visit us at www.connection.com/helix. Our team is made stronger by a multitude of backgrounds, experiences, and perspectives; it’s what makes Connection and Helix unique—what drives us to innovate and create technology solutions that stand apart from the crowd. We’d love for you to be a part of that fabric, to share your ideas and experiences with a team that thrives on fresh thinking, creativity, and helping others.

  Job Summary

  Build the next generation of enterprise AI solutions with hands‑on engineering, modern Microsoft technologies, and collaborative technical guidance. We are looking for an Associate AI Solutions Engineer to help design, build, test, and deploy practical enterprise AI applications, copilots, and agents. In this hands‑on role, you will work alongside senior engineers to turn business and technical requirements into secure, scalable AI‑enabled solutions using Microsoft Foundry, Copilot Studio, Microsoft Fabric, Microsoft 365 Copilot and Agent Builder, Power Platform, Azure services, and GitHub Copilot development tools. This is a great opportunity for an early‑career AI‑focused engineer who already has experience in software, cloud, data, automation, or application engineering and wants to grow in the rapidly evolving space of generative AI and agentic applications. You will contribute to real‑world solution delivery while developing deeper expertise in AI engineering practices, secure integrations, grounding and retrieval, evaluation, observability, and production deployment. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

  Responsibilities

  • Build, test, integrate, and deploy enterprise AI applications, copilots, agents, and supporting components under the guidance of senior engineers.
  • Develop solution components using Microsoft Foundry, Copilot Studio, Microsoft Fabric, Microsoft 365 Copilot and Agent Builder, Power Platform, Azure services, Power BI, and related Microsoft technologies.
  • Create agent actions, tools, APIs, connectors, workflows, integrations, prompts, structured outputs, and tool‑use flows using approved patterns and secure interfaces.
  • Develop application components and agent backends using Python and/or C#/.NET, Azure Functions, REST APIs, source control, automated testing, and CI/CD practices.
  • Integrate AI solutions with enterprise APIs, Dataverse, SharePoint, Microsoft Graph, databases, SaaS applications, and other approved data sources.
  • Build grounding and retrieval‑augmented generation capabilities using enterprise content, Azure AI Search, embeddings, vector search, Fabric data assets, and permission‑aware retrieval patterns.
  • Support Power Automate flows, Power Apps, custom connectors, Dataverse components, Fabric pipelines, notebooks, lakehouses, warehouses, and semantic models that enable AI solutions.
  • Implement secure identity and access practices, including authentication, authorization, managed identities, least‑privilege access, secret handling, and data‑protection controls using Entra ID and related Azure services.
  • Create evaluation datasets and automated tests to assess AI quality, grounding, safety, task completion, and regression behavior.
  • Apply logging, tracing, monitoring, and telemetry practices to evaluate quality, latency, reliability, model usage, consumption, and failures; escalate risks or anomalies as needed.
  • Participate in code reviews, architecture discussions, documentation, customer workshops, implementation sessions, troubleshooting, and production deployments.
  • Continue building independence in delivering AI applications, agents, and integrations of increasing complexity, with senior engineering review for architecture and production decisions.

  Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Artificial Intelligence, Data Science, or a related technical field, or an equivalent combination of education and work experience.
  • Minimum of 2 years of professional experience in software, cloud, data, application, solution, automation, or AI engineering.
  • Hands‑on experience contributing to the design, build, testing, integration, or deployment of AI, generative AI, or agentic applications through professional work, substantial projects, or comparable experience.
  • Working knowledge of Microsoft AI and cloud technologies such as Microsoft Foundry, Copilot Studio, Microsoft Fabric, Microsoft 365 Copilot, Agent Builder, Power Platform, Azure AI services, Microsoft Graph, Azure AI Search, and GitHub Copilot.
  • Experience developing application components using Python and/or C#/.NET, REST APIs, GitHub or similar source control, automated testing, and CI/CD practices.
  • Experience integrating applications