Intone
From Intone's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
We are seeking an AI Copilot Developer for a 12-month contract position based in Philadelphia, Pennsylvania.
We are seeking an AI Copilot Developer for a 12-month contract position based in Philadelphia, Pennsylvania. This role combines hands-on, low-code build expertise with a consulting mindset, partnering directly with business stakeholders to scope, design, and deliver Copilot-based agents and proofs of concept. You will translate business problems into working agent solutions, guide business-based developers and teams through the art of the possible, and help scale adoption of the Microsoft Copilot platform across the organization in a governed, secure, and repeatable way.
Act as an expert on Microsoft Copilot Studio, advising business and technology partners on capabilities, limitations, and best practices for agent design.
Attend discovery sessions with business stakeholders to help scope use cases, gather requirements, and assess feasibility for Copilot-based solutions.
Design, build, and test low-code agents, topics, flows, and connectors in Copilot Studio, including grounding agents with enterprise knowledge sources.
Apply creative problem-solving to deliver effective agent solutions within approved access, functionality, and governance parameters.
Own delivery of Copilot Studio agents end-to-end, from initial scoping through demo, stakeholder review and testing, through production and maintenance.
Build reusable templates, patterns, and playbooks to accelerate future Copilot Studio engagements.
Serve as a trusted advisor to business teams, helping them understand where Copilot Studio fits versus other build paths available.
Coach and upskill other systems builders and business users on building their agents within approved guardrails.
Deliver clear, plain-language walkthroughs and documentation so non-technical stakeholders can evaluate and adopt Copilot Studio solutions with confidence.
Work directly from defined requirements to configure, iterate, troubleshoot, and refine Copilot Studio agents, escalating scope, timeline, or platform constraints as needed.
Ensure all Copilot Studio agents comply with the organization's AI Agent governance framework, data protection standards, and responsible AI principles throughout all stages of development.
Partner with Power Platform administrators, Copilot administrators, and governance teams on environment policies, security roles, and application lifecycle management.
Identify potential scope or platform limitations during build work and flag them to the team lead for review and escalation.
Stay current on relevant Copilot Studio and Power Platform features, licensing basics, and certification requirements that affect hands-on solution build work, and flag notable changes to the team lead.
Work with business teams to define success criteria and KPIs for each Copilot Studio use case.
Assist business teams to track adoption, usage, and business impact of delivered agents, where appropriate.
Contribute to reporting and dashboards on Copilot pipeline status and outcomes.
Opine on which proofs of concept should scale, be optimized, or be retired based on demonstrated value.
Required
5+ years of experience in a technical consulting, solutions engineering, business analyst, or low-code development role.
Hands-on experience building agents, bots, or workflows in Microsoft Copilot Studio or Power Virtual Agents.
Working knowledge of the Microsoft Power Platform, including Power Automate and Dataverse.
5+ years leading Generative AI and Machine Learning initiatives.
Strong understanding of Generative AI, Agentic AI, AI SDLC, cloud platforms, developer productivity tools, and enterprise architecture concepts.
Experience working with cross-functional stakeholders including Engineering, Cyber, Risk, Compliance, and Legal.
Strong requirements-gathering and stakeholder management skills, with the ability to translate business needs into technical solutions.
Familiarity with generative AI concepts such as prompt engineering, retrieval-augmented generation (RAG), and grounding agents with enterprise data sources.
Excellent verbal and written communication skills, comfortable
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