Senior Solutions Engineer, Workforce AI

Job not on LinkedIn

🔥 0 minutes ago

🏖️ New Jersey – Remote

🏖️ New Jersey – Remote

💵 $100k - $140k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Verisk

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1971

💼 Consulting

🏗️ Construction

📦 Logistics

💰 $500M Post-IPO Debt on 2023-03

Consulting • Construction • Logistics

Verisk is a company that specializes in providing advanced data analytics, technology, and scientific research to the global insurance industry. It delivers solutions across various insurance sectors such as Property & Casualty, Life and Annuities, Reinsurance, and Specialty Markets, helping clients to assess and price risks with speed and precision. Verisk's offerings include underwriting and rating support, claims management, compliance, catastrophe risk modeling, and insights into extreme event risks. Additionally, Verisk serves other industries such as construction, real estate, and transportation by offering data-driven insights and solutions for risk assessment and business optimization, while also contributing to sustainability and resilience initiatives through its research and analytics.

📋 Description

• Accelerate measurable business value from enterprise workforce AI investments • Design and deliver AI-powered solutions that improve productivity, reduce manual effort, and simplify business processes • Act as a technical advisor and solution architect for workforce AI technologies • Establish reusable agents, skills, integrations, MCP components, and solution patterns across the organization • Drive responsible AI adoption while meeting enterprise security, governance, privacy, and compliance requirements • Lead and coordinate delivery activities with the coworker supporting each request • Manage and prioritize a queue of qualified AI solution requests • Partner with intake and triage to confirm scope, readiness, ownership, dependencies, and delivery path • Work with requesters to understand business processes, desired outcomes, data needs, risks, and success measures • Translate business requirements into practical AI solutions • Estimate effort, communicate delivery expectations, document decisions, and track request status and outcomes • Provide implementation documentation, knowledge transfer, and transition to ongoing support • Design AI-enabled workflows, agents, automations, and business process improvements • Select platforms and implementation approaches based on business needs, technical fit, security, maintainability, and cost • Build solutions using builder experiences, low-code platforms, and pro-code development • Create reusable design patterns, templates, components, and engineering standards • Build and maintain AI agents, actions, prompts, workflows, and orchestration logic • Develop custom skills and Model Context Protocol (MCP) servers or integrations • Extend AI platforms using APIs, SDKs, custom connectors, and functions • Apply source control, testing, documentation, release management, and reusable code practices • Design secure connections between AI platforms and enterprise data sources, knowledge repositories, business applications, and external functions • Apply authentication and authorization patterns including OAuth, Microsoft Entra ID, application registrations, service principals, managed identities, delegated access, and API-based credentials • Partner with application, data, security, privacy, architecture, and identity teams on approved access patterns • Ensure least-privilege principles and enterprise data protection • Maintain working knowledge of Microsoft Copilot, Copilot Studio, Claude, ChatGPT Enterprise, related APIs, and emerging enterprise AI capabilities • Evaluate new 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 working 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 through both low-code and pro-code approaches and select the appropriate method • Strong analytical, consulting, documentation, troubleshooting, and stakeholder communication skills • Ability to manage multiple requests, balance business urgency with technical risk, and drive work to completion • Preferred: experience building custom agents, AI assistants, agent actions, and multi-step AI workflows • Preferred: experience developing MCP servers, custom skills, plugins, connectors, or similar extensibility components • Preferred: experience with Microsoft Graph, REST APIs, Azure Functions, Logic Apps, Power Automate, GitHub, Visual Studio, or Visual Studio Code • Preferred: knowledge of retrieval-augmented generation, enterprise search, grounding, vector search, and knowledge-management patterns • Preferred: knowledge of responsible AI, data protection, security, compliance, auditability, and AI governance practices • Preferred: experience identifying and measuring productivity, process, service-quality, or business-value improvements

🏖️ Benefits

• Health Insurance • Retirement Plan • Disability benefits • Paid Time Off program • Work flexibility • Support, coaching, and training • Short Term Incentive