About the role

Solution Architect driving AI strategy for Tanium, optimizing processes and enhancing outcomes. Collaborating with stakeholders and evaluating AI technology for integration.

Responsibilities

Collaborate with the Enterprise Architecture and business stakeholders team to define and implement a cohesive AI strategy aligned with Tanium's business goals.
Work closely with stakeholders across many departments to analyze, document, and design business processes, identifying opportunities for AI integration to enhance efficiency and effectiveness.
Deliver workshops and training sessions and related enablement materials to educate and empower business teams on AI capabilities and applications, with a focus on obtaining elevated outcomes.
Drive AI advocacy with senior leadership across the company
Stay up to date with the latest advancements in AI technology and best practices, recommending innovative solutions where applicable.
Navigate AI’s ethical, regulatory, and operational challenges to ensure introduction of AI capabilities align with organization’s values.
Work closely with IT and business teams to ensure seamless and secure integration of AI solutions into existing systems and processes.
Provide technical expertise and guidance on AI-related projects and initiatives.
Monitor and evaluate the performance of AI systems, adjusting as necessary to achieve optimal outcomes.
Ensure compliance with relevant regulations and ethical standards with respect to the implementation and ongoing usage of AI technology.

5+ years of experience as an Architect or similar role designing scalable IT solutions tied to specific business outcomes.
A demonstrated history of delivering training & enablement to business users & teams.
In-depth knowledge of IT systems, enterprise architecture, enterprise-level integrations, business ecosystem complexities and including compliance, privacy and other legal ramifications.
Strong technical background, with hands-on experience in evaluating and introducing AI capabilities in a corporate environment
Ability to rapidly build AI-driven prototypes, proof of concepts, and production-ready AI solution experience.
Deep understanding of MCP servers, tool calling, low-code/no-code agent-building platforms, registries, eval pipelines, agent observability, and orchestration.
Proficient in creating business models to visualize and improve business processes.
Excellent problem-solving skills and the ability to think strategically and analytically.
Excellent communication and interpersonal skills, with the ability to work effectively with diverse teams and stakeholders.
Excellent written skills, able to draft high quality presentation content & collaborate with senior leaders to revise and tune content for maximum impact.
Ability to manage multiple projects simultaneously and deliver results within established timelines.
A bachelor’s degree in computer science, Information Technology, or a related field is a plus.