Senior Solutions Architect, Data Products (Microsoft AI)

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.

Join us to transform the way the world works.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

This role can be based in either our Sunnyvale, San Francisco, Bellevue, New York, Chicago, Atlanta, Omaha, or Washington D.C. offices.

LinkedIn's Go-To-Market Enablement (GTME) organization is on a mission to deliver data-driven insights and AI-powered tools that help our global sales teams excel. We are seeking a Senior Solutions Architect (Microsoft AI Ecosystem) to join our Insights & Analytics team supporting LinkedIn's Global Business Organization (GBO). This is a unique opportunity to design, build, and scale custom business applications and intelligent workflows using Microsoft technologies-Power Platform, Azure Databricks, and the latest Copilot capabilities.

You'll apply your expertise in app development, cloud integration, and generative AI to create scalable solutions that streamline reporting, automate processes, and deliver conversational analytics. You'll collaborate with cross-functional partners-Sales Performance Consultants, Sales Operations, Data Science, and Engineering-to translate business needs into rapidly executable solutions. If you're passionate about building reliable, AI-powered tools and influencing data strategy at scale, we'd love to have you help shape the next generation of enablement technology at LinkedIn.

Responsibilities :

Architect & ship analytics agents and copilots : Build conversational analytics experiences (via Copilot Studio) and take them from prototype to production with clear targets for reliability, observability, and safety.

Build the data foundation : Orchestrate governed data flows and publish reusable semantic models / datasets that power apps, agents, and BI.

Turn insights into action : Implement event-driven workflows that react to analytics signals to deliver targeted enablement to sellers, with measurable outcomes.

Translate needs into a plan : Convert business requirements into success metrics and a prioritized roadmap; communicate trade-offs and drive alignment across partners.

Raise the engineering bar : Apply Power Platform governance and ALM best practices (e.g., DLP / RBAC) and secure-by-default patterns; document architecture decisions and operating runbooks.

Mentor and multiply impact : Coach developers and codify internal standards, templates, and patterns for AI solution design and data product development.

Basic Qualifications :

Bachelor's degree in a technical field or equivalent practical experience

5+ years developing enterprise applications or data solutions

2+ years of hands-on experience with Power Platform, including Power BI

2+ years experience in one or more scripting languages (e.g. Python)

Experience delivering AI-enabled applications or conversational agents

4+ years of experience with SQL for building and validating datasets

Preferred Qualifications :

Delivered AI-enabled applications and conversational agents using Copilot Studio.

Led cross-functional AI and automation programs (LLM prompt design, model evaluation, pipeline automation).

Built governed data flows and reusable semantic models

Applied DevOps practices for Power Platform ALM (DLP, RBAC, secure-by-default) and hold certifications (PL-400, PL-600, APL-7008).

Hands-on experience with Azure Logic Apps and Databricks for scalable workflows.

Domain experience in sales enablement and analytics; ability to translate business needs into measurable outcomes.

Suggested Skills :

Solution architecture

Rapid prototyping

AI and Automation

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $138,000 to $225,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications, and specific office location. This may differ in other locations due to cost of labor considerations.

The total compensation package for this position may also include annual performance bonus, stock, benefits and / or other applicable incentive compensation plans. For additional information, visit : .

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