10 hours ago
Remote, United States or Jersey City, NJ, USASenior
Responsibilities
- Manage and prioritize a queue of qualified AI solution requests and lead delivery activities through completion.
- Partner with business requesters to understand processes, requirements, data needs, risks, dependencies, and success measures.
- Design and build AI-enabled workflows, agents, automations, integrations, and business process improvements using low-code and pro-code approaches.
- Develop reusable agents, skills, prompts, workflows, MCP servers, connectors, functions, solution patterns, and engineering standards.
- Design secure integrations with enterprise data sources, knowledge repositories, business applications, and external functions.
- Apply authentication, authorization, least-privilege, security, privacy, compliance, observability, supportability, and lifecycle practices.
- Document solutions, communicate delivery expectations, provide knowledge transfer, and transition implementations to ongoing support.
- Evaluate emerging enterprise AI capabilities and share reusable practices with AI enablement, platform, security, and engineering teams.
Requirements
- Experience in solution architecture, software engineering, automation, cloud engineering, application integration, or a related technology discipline.
- Demonstrated experience delivering business-facing technical solutions from requirements through implementation.
- Hands-on experience with one or more enterprise AI platforms such as Microsoft Copilot, Copilot Studio, Claude, ChatGPT Enterprise, or comparable technologies.
- Experience with APIs, SDKs, integrations, automation technologies, and structured or unstructured enterprise data sources.
- Working knowledge of enterprise identity, authentication, authorization, and secure integration patterns.
- Ability to build with both low-code and pro-code approaches and select the appropriate method for each request.
- Strong analytical, consulting, documentation, troubleshooting, stakeholder communication, prioritization, and delivery skills.
- Preferred qualifications include custom agent and AI assistant development, MCP servers, custom skills, plugins, connectors, Microsoft Graph, REST APIs, Azure Functions, Logic Apps, Power Automate, GitHub, Visual Studio, Visual Studio Code, retrieval-augmented generation, enterprise search, grounding, vector search, knowledge management, responsible AI, data protection, compliance, auditability, AI governance, and business-value measurement.
Benefits
- Health insurance, a retirement plan, disability benefits, and paid time off.
- Competitive total rewards package with base salary determined by role, experience, skill set, and location.
- Work flexibility; the posting is tagged as remote.
Categories
About Verisk
Verisk builds data analytics platforms, predictive models, and software used by property and casualty insurers to underwrite, price, detect fraud, and manage claims. The company monetizes industry-scale datasets, catastrophe risk models, and workflow tools sold by subscription and transaction to insurers, reinsurers, and brokers worldwide. Founded in 1971 and headquartered in Jersey City, New Jersey, Verisk is a public company trading on Nasdaq (VRSK).