• Provide Strategic Consulting: Be a subject matter expert and thought leader to help transform current and prospective customers. Deliver workshops, develop roadmaps, and present readbacks that address key business outcomes. • Support Partner Sales: Collaborate closely with partners to drive sales efforts, ensuring alignment with LivePerson’s solutions, and take ownership of the partner relationship. • Architect and Deliver Demonstrations: Build and deliver sophisticated demos around LivePerson's core platforms, including Conversational Cloud, Conversational AI, Voice AI, and Conversational Analytics, along with key partner technologies. • Develop Sales Strategies: Partner with sales teams to strategize on winning opportunities, architecting new and custom solutions to showcase product integration into customer infrastructures. • Provide Technical Expertise: Offer technical and industry expertise across various business units within LivePerson, including R&D, Marketing, and Partner Relations. • Competitive Intelligence: Understand and relay information about competitors, adhering to ethical guidelines. • Proposal Development: Collaborate on responses to RFPs, RFIs, RFTs, etc., and occasionally mentor new team members in Solution Consulting. • Educational Support: Train Sales and Delivery teams on solutions and support customer conferences as a demo runner or speaker.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As an AI Solution Architect, you will establish architectural patterns that demonstrate the value of the ServiceNow platform within days, accelerating technical validation and deal closure. You will serve as a trusted technical advisor for customers, translating ambitious AI strategies into solution blueprints and proof of concepts designed to deliver measurable results. Purpose: - Design and deliver AI Experience architectures, proof of concepts, and solution blueprints to streamline customer journeys and accelerate outcomes. - Support the design, architecture, and development of proofs of concept for AI Experience across the ServiceNow platform, including skills and workflows. Key Responsibilities: - Lead architectural design sessions focused on AI Experience and platform solutions, transforming customer requirements into actionable blueprints. - Demonstrate platform capabilities through in-depth technical presentations, highlighting integration options and fostering confidence in the solution’s technical foundation. - Develop proofs of concept and technical validation frameworks for customers in your designated districts. - Work closely with AI Experience Solution Consultants to ensure alignment between solution blueprints, customer priorities, and workshop outcomes. - Create and contribute to reusable assets, reference architectures, and industry patterns to enhance team productivity and support consistent, high-quality delivery at scale. Qualifications - Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. - Expertise in AI architecture, workflow automation, and integration frameworks. - Skilled in designing scalable, high-performance end-to-end solutions with rapid implementation. - Strong collaboration across sales, specialist, and product teams. - Proven ability to quickly establish technical credibility and influence customer architectural direction. - Over 7 years of experience in architecture or pre-sales engineering roles. Requirements - For positions in this location, we offer a base pay of $151,875 - $250,575, plus equity (when applicable), variable/incentive compensation and benefits. - Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. - Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Benefits - Health plans, including flexible spending accounts. - 401(k) Plan with company match. - ESPP and matching donations. - Flexible time away plan and family leave programs.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves driving customers’ transformation on Microsoft Azure, focusing on Data and Analytics & AI. You will own AI technical customer engagements, including: - Architectural design sessions - Proof of concepts/technologies - Specific implementation projects and MVPs You will leverage your experience in customer-facing roles to lead end-to-end AI technical engagements and development of POCs using AI services and/or data science. This role is flexible, allowing you to work up to 100% from home. Qualifications - Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field - 2+ years experience in cloud/infrastructure technologies, IT consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience Requirements - This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship. Preferred Qualifications - 1+ years of experience with AI/ML and/or Generative AI technology - 2+ years of customer facing experience providing recommendations to, or collaborating with, mid-to-senior level executives - 2+ years of enterprise experience in ANY of the following: Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure SQL, PostgreSQL, MySQL, and Cosmos DB Compensation - Cloud Solution Architecture IC3 - Typical base pay range across the U.S.: USD $85,100 - $169,800 per year - Cloud Solution Architecture IC4 - Typical base pay range across the U.S.: USD $106,400 - $203,600 per year Other This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable local laws, regulations, and ordinances.

• Design, build, and maintain event-driven architectures using Kafka (Amazon MSK) and IBM MQ. • Develop and deploy microservices on Kubernetes (EKS) to enable secure and scalable integrations. • Implement robust integration patterns, including idempotency, error handling, retry strategies, and secure messaging flows. • Ensure the reliability, scalability, and high availability of the platform in production environments. • Establish and maintain strong observability practices (monitoring, logging, metrics, and alerting) using CloudWatch, Prometheus, and Grafana. • Collaborate with technical and business teams to design solutions aligned with functional and technical requirements.