AI Solutions Architect (AI)

TL;DR

AI Solutions Architect (AI): Partnering with sales and solutions engineers to drive AI adoption across hirify.global's customer base with an accent on generative AI, machine learning, and deep learning solutions. Focus on use case discovery, presentations, and demonstrations to address customer's unique business challenges.

Salary: $182,000.00 - $250,250.00

Company

hirify.global, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world.

What you will do

• Partner with the Americas and Public Sector teams to perform deep use case discovery and development of solutions demonstrating hirify.global AI/ML capabilities.
• Present hirify.global’s AI message and roadmap to both technical and leadership teams.
• Support the delivery of AI workshops, demonstrations, and product evaluations.
• Maintain deep competencies in hirify.global’s platform and AI capabilities (e.g. hirify.global Enterprise, hirify.global Cloud, Machine Learning Toolkit, Deep Learning Toolkit, etc..)
• Work closely with Global Technical Strategists and Product Management to proactively identify customer challenges and needs, influencing the product roadmap to meet critical customer requirements.
• Focus on accelerating and enabling AI skills across the entire Solutions Engineering organization, as well as using AI to scale productivity.

Requirements

• Experience and knowledge in Data Science, Machine Learning and AI methods, tools and technologies, preferably related to hirify.global AI and its key apps e.g. hirify.global Machine Learning Toolkit (MLTK), hirify.global App for Data Science and Deep Learning (DSDL).
• Possess a depth of expertise in enterprise logging, security and/or observability, specifically using hirify.global and/or other aligned technologies and solutions (e.g. Elastic, AWS native services, etc.).
• 5 years of demonstrated ability in technical pre-sales, services, system administration, and/or engineer roles.
• 3+ years of demonstrated ability with infrastructure and platform services to support enterprise-scale data challenges.
• Knowledge about data engineering standard processes to prepare data for AI/ML workloads.
• Knowledge of strategies for operationalizing logs and/or metrics across infrastructure providers (i.e. on-premises, Amazon Web Services, Azure, and/or Google Cloud Platform).