Senior Workforce AI Solutions Engineer

Join Verisks Workforce Technology Services organization as a Workforce AI Solutions Engineer. This role partners directly with business stakeholders across the enterprise to identify, design, build, and deploy AI-powered solutions using approved workforce AI platforms, including Microsoft Copilot, Copilot Studio, Claude, ChatGPT Enterprise, and associated technologies.

The position serves as the technical lead and primary owner for a queue of business-submitted AI solution requests that require light-to-moderate implementation effort. The person in this role leads each engagement while remaining directly involved in solution design, development, testing, and delivery alongside a collaborating coworker. Requests may include workflow automation, AI agent development, system integrations, document intelligence, knowledge retrieval, process simplification, and productivity optimization.
The role works with a partner team responsible for initial intake and triage so that simple questions, training needs, and requests requiring clarification are handled separately. This position receives qualified requests that need hands-on technical design and delivery but do not require a large-scale software development engagement.
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.
Drive responsible AI adoption while meeting enterprise security, governance, privacy, and compliance requirements.
Manage and prioritize a queue of qualified AI solution requests received from business units across the company.
Work directly with requesters to understand business processes, desired outcomes, data needs, risks, and success measures.
Translate business requirements into practical AI solutions using approved platforms and technologies.
Estimate effort, communicate delivery expectations, document decisions, and maintain visibility into request status and outcomes.
Provide appropriate implementation documentation, knowledge transfer, and transition to an ongoing support model.
AI Solution Architecture and Engineering
Design AI-enabled workflows, agents, automations, and business process improvements.
Select the appropriate platform and implementation approach based on business needs, technical fit, security, maintainability, and cost.
Build solutions through simple builder experiences, low-code platforms, and pro-code development using Visual Studio or Visual Studio Code when needed.
Build and maintain purpose-specific AI agents, actions, prompts, workflows, and orchestration logic.
Develop custom skills and Model Context Protocol (MCP) servers or integrations when platform-native capabilities are insufficient.
Extend AI platforms using APIs, SDKs, custom connectors, functions, and other approved integration methods.
Apply software development practices such as source control, testing, documentation, release management, and reusable code design.
Integration, Data, and Authentication
Design secure connections between workforce AI platforms and enterprise data sources, knowledge repositories, business applications, and external functions.
Understand and apply modern authentication and authorization patterns, including OAuth, Microsoft Entra ID, application registrations, service principals, managed identities, delegated access, and API-based credentials.
Partner with application owners, data owners, security, privacy, architecture, and identity teams to establish approved access patterns.
Ensure solutions follow least-privilege principles and protect enterprise data throughout retrieval, processing, storage, and output.
Platform Expertise and Continuous Improvement
Maintain strong working knowledge of Microsoft Copilot, Copilot Studio, Claude, ChatGPT Enterprise, related APIs, and emerging enterprise AI capabilities.
Understand the strengths, limitations, licensing considerations, and integration options of each platform.
Evaluate new capabilities and identify where they can improve solution quality, reduce development effort, or expand supported use cases.
Share lessons learned and reusable practices with AI enablement, platform, security, and engineering teams.
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.
Ability to manage multiple requests, balance business urgency with technical risk, and drive work to completion.
Experience building custom agents, AI assistants, agent actions, and multi-step AI workflows.
Experience with Microsoft Graph, REST APIs, Azure Functions, Logic Apps, Power Automate, GitHub, Visual Studio, or Visual Studio Code.
Knowledge of responsible AI, data protection, security, compliance, auditability, and AI governance practices.
Experience identifying and measuring productivity, process, service-quality, or business-value improvements.
Demonstrated productivity, quality, service, or process improvements from implemented solutions.
The successful candidate combines curiosity about emerging AI capabilities with disciplined enterprise engineering. They are accountable for outcomes, thoughtful about risk, and motivated by improving how employees work.

LI-Remote

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, youll have the chance to use your voice and build a rewarding career thats as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.
And we are looking for people like you to help us translate big data into big ideas. Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
Property and Restoration Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
Catastrophe and Risk Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.
Marketing Solutions — delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement
Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger
Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veterans status, age or disability.