Senior Workforce AI Solutions Engineer

Join Verisk's 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.

Responsibilities

Purpose of the Role

• 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 that can be leveraged across the organization.
• Drive responsible AI adoption while meeting enterprise security, governance, privacy, and compliance requirements.

Key Responsibilities

Request Queue Management and Solution Delivery

• Lead and coordinate delivery activities with the coworker supporting each request, including work allocation, technical direction, issue resolution, and completion accountability.
• Manage and prioritize a queue of qualified AI solution requests received from business units across the company.
• Partner with the intake and triage function to confirm scope, readiness, ownership, dependencies, and the appropriate delivery path, then lead execution with the coworker assigned to support delivery.
• 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.
• Create reusable design patterns, templates, components, and engineering standards that improve delivery speed and consistency.
• Evaluate scalability, observability, supportability, and lifecycle requirements before production use.

Agent, Skill, and MCP Development

• 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.

Qualifications

Required Qualifications

• 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 to select the appropriate method for the request.
• 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 Qualifications

• Experience building custom agents, AI assistants, agent actions, and multi-step AI workflows.
• Experience developing MCP servers, custom skills, plugins, connectors, or similar extensibility components.
• Experience with Microsoft Graph, REST APIs, Azure Functions, Logic Apps, Power Automate, GitHub, Visual Studio, or Visual Studio Code.
• Knowledge of retrieval-augmented generation, enterprise search, grounding, vector search, and knowledge-management patterns.
• 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.

Success Measures

• Timely movement of qualified requests from intake through delivery or an agreed disposition.
• Business requester satisfaction and adoption of delivered solutions.
• Demonstrated productivity, quality, service, or process improvements from implemented solutions.
• Creation and reuse of standard agents, skills, MCP components, connectors, and solution patterns.
• Reliable, secure, supportable solutions that comply with enterprise governance and architecture requirements.
• Clear documentation, ownership, and lifecycle management for solutions placed into use.

Candidate Profile

The successful candidate combines curiosity about emerging AI capabilities with disciplined enterprise engineering. They can move comfortably between a business process conversation and a technical design discussion, explain tradeoffs clearly, build practical solutions, and recognize when a request should be simplified, escalated, or redirected. They are accountable for outcomes, thoughtful about risk, and motivated by improving how employees work.

#LI-LM03
#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, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. 

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture.

We’re 7,000 people strong.  We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

 Verisk Businesses

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

Verisk Analytics is an equal opportunity employer.

Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Verisk Employee Privacy Notice