Senior Solutions Engineer, Workforce AI

🕒 Outubro 14

🏖️ New Jersey – Remoto

🏖️ New Jersey – Remote

💵 $100.000 - $140.000 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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Verisk

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 1971

💼 Consultoria

🏗️ Construção

📦 Logística

💰 $500.000.000 Post-IPO Debt em 2023-03

Consulting • Construction • Logistics

A Verisk é uma empresa especializada em fornecer análises avançadas de dados, tecnologia e pesquisa científica para a indústria global de seguros. Ela oferece soluções em diversos setores de seguros, como Propriedade e Casualidade, Vida e Anuidades, Resseguros e Mercados Especializados, ajudando os clientes a avaliar e precificar riscos com rapidez e precisão. As ofertas da Verisk incluem suporte à subscrição e classificação, gestão de sinistros, conformidade, modelagem de risco de catástrofes e insights sobre riscos de eventos extremos. Além disso, a Verisk atende outras indústrias, como construção civil, imobiliário e transporte, oferecendo insights e soluções orientadas por dados para avaliação de riscos e otimização de negócios, ao mesmo tempo em que contribui para iniciativas de sustentabilidade e resiliência por meio de sua pesquisa e análises.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

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

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