Senior Solutions Engineer, Workforce AI

This is a fully remote position, open to applicants in New Jersey.

📋 Description

• Drive tangible business value from investments in enterprise workforce AI.

• Create and implement AI-driven solutions that enhance productivity, minimize manual tasks, and streamline business operations.

• Serve as a technical advisor and solution architect for workforce AI technologies.

• Develop reusable agents, skills, integrations, MCP components, and solution frameworks throughout the organization.

• Promote responsible AI usage while adhering to enterprise security, governance, privacy, and compliance standards.

• Lead and organize delivery activities alongside colleagues supporting each request.

• Oversee and prioritize a queue of qualified AI solution requests.

• Collaborate with intake and triage teams to verify scope, readiness, ownership, dependencies, and delivery pathways.

• Engage with requesters to comprehend business processes, desired outcomes, data requirements, risks, and success metrics.

• Convert business requirements into implementable AI solutions.

• Assess effort, communicate delivery expectations, document decisions, and monitor request status and results.

• Provide implementation documentation, facilitate knowledge transfer, and transition to ongoing support.

• Design workflows, agents, automations, and enhancements for business processes powered by AI.

• Choose platforms and implementation strategies based on business needs, technical compatibility, security, maintainability, and cost considerations.

• Construct solutions utilizing builder experiences, low-code platforms, and pro-code development.

• Develop reusable design patterns, templates, components, and engineering standards.

• Build and sustain AI agents, actions, prompts, workflows, and orchestration logic.

• Create custom skills and Model Context Protocol (MCP) servers or integrations.

• Expand AI platforms using APIs, SDKs, custom connectors, and functions.

• Implement source control, testing, documentation, release management, and reusable code methodologies.

• Create secure connections between AI platforms and enterprise data sources, knowledge repositories, business applications, and external services.

• Utilize authentication and authorization methods including OAuth, Microsoft Entra ID, application registrations, service principals, managed identities, delegated access, and API-based credentials.

• Collaborate with application, data, security, privacy, architecture, and identity teams on approved access methods.

• Uphold least-privilege principles and protect enterprise data.

• Maintain up-to-date knowledge of Microsoft Copilot, Copilot Studio, Claude, ChatGPT Enterprise, related APIs, and the latest enterprise AI capabilities.

• Assess new capabilities and distribute reusable practices among AI enablement, platform, security, and engineering teams.

⛳️ Requirements

• Proven experience in solution architecture, software engineering, automation, cloud engineering, application integration, or a related technology field.

• Demonstrated history of delivering technical solutions that meet business needs from requirements through to implementation.

• Practical experience with one or more enterprise AI platforms such as Microsoft Copilot, Copilot Studio, Claude, ChatGPT Enterprise, or similar technologies.

• Experience with APIs, SDKs, integrations, automation technologies, and both structured and unstructured enterprise data sources.

• Familiarity with enterprise identity, authentication, authorization, and secure integration methodologies.

• Capability to work with both low-code and pro-code approaches and select the most suitable method for each situation.

• Strong analytical, consulting, documentation, troubleshooting, and stakeholder communication abilities.

• Aptitude for managing multiple requests, balancing business urgency with technical risks, and ensuring project completion.

• Preferred: experience in building custom agents, AI assistants, agent actions, and multi-step AI workflows.

• Preferred: experience in developing MCP servers, custom skills, plugins, connectors, or similar extensibility components.

• Preferred: familiarity with Microsoft Graph, REST APIs, Azure Functions, Logic Apps, Power Automate, GitHub, Visual Studio, or Visual Studio Code.

• Preferred: understanding of retrieval-augmented generation, enterprise search, grounding, vector search, and knowledge-management strategies.

• Preferred: knowledge of responsible AI, data protection, security, compliance, auditability, and AI governance practices.

• Preferred: experience in identifying and assessing improvements in productivity, processes, service quality, or business value.

🏝️ Benefits

• Health Insurance

• Retirement Plan

• Disability benefits

• Paid Time Off program

• Work flexibility

• Support, coaching, and training

• Short Term Incentive