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We are looking for an experienced AI Solutions Consultant / AI Product Specialist to join our Ecosystem & Alliances function, focused on enabling and scaling AI solutions leveraging the NVIDIA ecosystem.
This role will support strategic customer engagements by combining deep AI domain expertise with solution consulting, pre-sales, and hands-on experience in designing, delivering, and operationalizing enterprise AI solutions. The ideal candidate should possess strong technical and business acumen with experience working across customers, delivery teams, architects, and ecosystem partners.
Skills
7–12 years of experience in AI solution consulting, solution architecture, AI engineering, AI delivery, product management, COE leadership, or pre-sales roles.
Strong expertise in AI/ML, GenAI, NVIDIA technologies, cloud platforms, data platforms, or enterprise AI solutions.
Hands-on experience designing, building, deploying, or managing AI solutions in enterprise environments.
Experience supporting customer engagements, solution workshops, and strategic technology discussions.
Strong stakeholder management, communication, and presentation skills.
Ability to collaborate with global teams across geographies and time zones.
Job ID: 151832165
Skills:
Software Development, Apis, Data and Analytics, conversion optimization, Digital Product, Risk Management
Skills:
Saml, Api Integration, Sql, Sso, Scrum, OpenID Connect, Data Analysis, Product Management, MFA, OAuth 2.0, SCIM, rbac, Agile delivery methodologies, ABAC, Kanban
Skills:
product management, experimentation, customer insights
Skills:
product adoption , lifecycle management , Automation, Product Roadmap, Data-driven decision-making, Continuous Improvement, Understanding of product metrics, Documentation, Adoption funnels, Product Analytics, System integrations, Stakeholder Communication, Engagement, Delivery Release Issue Management, Performance Tracking, user journeys, Feature Prioritization, Vendor Partner Coordination, Technology APIs, Product Ownership
Skills:
User Research, Confluence, Scrum, Agile Methodologies, Jira, product management tools, Aha, Kanban, data-driven decision-making