Note: The job is a remote job and is open to candidates in USA. Tivity Health is a leading provider of healthy life-changing solutions, and they are seeking a Senior AI Implementation Engineer to partner with business leaders and internal teams to design, build, and deploy AI agents and Copilot solutions. This role focuses on applied generative AI, using Microsoft 365 Copilot and related tools to enhance productivity and ensure successful implementation and adoption of AI solutions.
Responsibilities
- Partner directly with business stakeholders across departments to identify workflows where AI agents and Copilot can improve productivity, decisions, or outcomes
- Design experiments and pilots that can be validated quickly using available Microsoft 365 data sources and pragmatic agent-building approaches
- Select and apply the right Copilot capabilities for each use case (declarative agents, custom actions, plugins, Copilot Studio agents, Power Automate flows)
- Build and deliver high-impact and shared agents directly when central ownership makes sense; enable business teams to own their own agents end-to-end when distributed ownership is a better fit—coaching them through grounding data preparation, prompt design, deployment, monitoring, and iteration
- Build and deploy custom Copilot agents using Copilot Studio, declarative agents, and the Microsoft 365 Agents SDK; integrate them into Teams, Outlook, Word, Excel, and SharePoint experiences
- Implement agent grounding pipelines using Microsoft Graph connectors, SharePoint, OneDrive, and structured data sources
- Ensure production readiness for both centrally built and business-built agents through versioning, validation, rollback strategies, and performance monitoring standards
- Monitor performance of central agents directly (response quality, grounding accuracy, adoption, business KPIs); equip business owners with the dashboards and patterns to monitor theirs
- Participate directly in diagnosis and resolution of production issues affecting Copilot agents or supporting integrations, regardless of who built them
- Teach and coach internal teams on how to design, build, refine, and operate their own Copilot agents and prompts
- Create reusable templates, patterns, and reference implementations that accelerate agent delivery across the organization
- Develop training materials, office hours, and hands-on workshops that scale Copilot adoption beyond the central team
- Collaborate closely with IT, Security, and Compliance teams to align with enterprise data protection, DLP, and operational standards
- Use source control and infrastructure as code (GitLab/GitHub, Pulimi) to manage agent definitions, environments, and deployment pipelines—and make those practices accessible to citizen builders
- Own and operate Microsoft Graph and SharePoint-based grounding sources for Copilot agents, including connectors, content indexing, and semantic indexing
- Implement and enforce content zone architecture (e.g., authoritative, curated, and restricted sources) to support governed agent grounding and lifecycle management for both central and business-owned agents
- Define and apply access controls using sensitivity labels, Microsoft Purview, and Microsoft 365 permissions
- Establish and maintain governance practices around prompt libraries, agent definitions, version control, and lineage tracking that apply consistently across the organization
- Ensure agents and their grounding sources are discoverable, auditable, and secure through cataloging, metadata management, and access controls
- Build end-to-end observability using Microsoft 365 admin telemetry, Copilot analytics, Purview audit logs, and adoption dashboards
- Establish operational runbooks and support procedures for governed Copilot agents and AI workflows
- Apply cost-aware design when selecting agent architectures, grounding sources, and Azure AI services
- Optimize Copilot Studio capacity, message usage, and Azure OpenAI consumption to deliver value efficiently at scale
- Continuously improve agent reliability, scalability, and cost efficiency as adoption grows across both central and business-owned agents
- Partner with the AI Center of Excellence to prioritize AI initiatives aligned to business value
- Define and track success metrics across AI use cases and initiatives
- Drive enterprise-wide adoption of AI across Tivity
- AI Adoption & Business Impact
- Growth in AI users and usage
- Productivity improvements
- Enterprise Enablement (HR Partnership)
- Training participation and completion
- AI literacy improvement
- Community of Practice
- CoP establishment and participation
- Reuse of shared assets
- Agent Delivery & Quality
- Number of deployed agents
- Reliability and performance
- Efficiency & Cost
- Cost vs value
- Optimization of usage
Skills
- 5-7+ years in a professional software, AI, or automation engineering role and 2-3+ years of hands-on experience building and shipping AI or workflow automation solutions, preferably in a Microsoft 365 environment
- Applied problem solver motivated by business outcomes and adoption
- Strong business partner able to translate questions and workflows into testable agent designs and executable solutions
- Hands-on experience building Copilot agents, Power Platform solutions, or LLM-powered applications in production
- Proven experience operating governed content and AI platforms at scale, including familiarity with Microsoft Graph, SharePoint, and Purview
- Builder–operator mindset with strong CI/CD, observability, and incident response skills
- Strong teaching and enablement instincts—comfortable coaching non-technical stakeholders and authoring clear documentation
- Pragmatic practitioner who values reliability, adoption, governance, and impact over unnecessary complexity
Benefits
- Company bonus potential
- Medical
- Dental
- Vision
- 401k with match
- Generous paid time off
- Free gym membership to over 13,000 fitness locations in the US
Company Overview
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