AI Solution Architect, I

🕒 May 8

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C1

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1993

💰 $1M Venture Round on 2009-08

C1, the global technology solution provider elevating connected human experiences, is transforming the industry by creating connected experiences that make a lasting impact on customers, our teams, and our communities. More than 6,000 customers use C1 every day to help them build meaningful connections through innovative and secure experiences. Our successful track record of tangible positive business outcomes for our customers is a testament to our ability to provide them with the highest level of customer satisfaction, responsiveness, and deep domain expertise. C1 collaborates with nearly half of the Fortune 100, along with other key global industry partners to deliver solutions with a total lifecycle approach. C1 holds more than 5,600 technical certifications across thousands of engineers throughout North America and India, including three Customer Success Centers.

📋 Description

• Build and maintain Power BI dashboards for Sales Engineering leadership: capacity, utilization, pipeline health, SLA metrics, customer trends, and productivity insights. • Develop AI-assisted workflows using Python, Azure AI, LLMs, and automation tools to streamline internal processes (routing, assignments, data cleanup, forecasting). • Support data cleaning, dataset creation, and analytics models that enhance forecasting and customer segmentation. • Assist in building AI-based scoring models for customer health, renewal prediction, and service demand. • Create internal documentation, playbooks, and how-to guides for dashboards and automations. • Participate in customer calls with Solution Architects to provide AI insights, dashboards, or automation recommendations. • Support demos and proof-of-concepts involving AI Solutions from Cisco, Genesys, Juniper, Palo Alto, Dell, Extreme, and other partners. • Translate technical AI outputs into simple business language for customers and account teams. • Support integration of AI into C1 offers.

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Science, or related field. • Foundational experience in Python, SQL, and analytics tools (Power BI preferred). • Strong understanding of AI/ML concepts (regression, classification, LLMs, data manipulation). • Ability to communicate clearly, summarize insights, and support customer meetings. • Excellent problem-solving skills, intellectual curiosity, and willingness to learn rapidly. • Understanding of enterprise technologies from Cisco, Dell, Genesys, Palo Alto, etc. • Project experience building models, dashboards, or AI applications • Experience with Power BI, Snowflake, Azure AI, or data engineering concepts (desired). • Familiarity with APIs, automation frameworks, or basic full-stack development (preferred). • Experience with customer-facing work or presales exposure (preferred).

🏖️ Benefits

• 401(k) Plan (35% employer match per dollar up to 10% employee contribution) • Medical Coverage (3 platforms: UnitedHealthcare, Reference Based Pricing includes member advocacy; and Kaiser) • RX Home Delivery • HSA with Employer Contribution • In-vitro Fertility (treatment coverage) • Dental • Vision (2 plans: 12-month and 24-month frames allowance) • FSA Plans (Healthcare, Dependent Care and Limited Purpose) • Pre-tax Commuter Plans • Employer-paid Life Insurance • Employer-paid Short + Term Disability • Long Term Disability (2 plans: Employer-paid or optional Self-paid) • Paid Parental Leave (4 weeks at 100%) • Employee Assistance Plan • Voluntary Life Insurance for team member, spouse and child • Voluntary Accidental Death for team member and spouse • Legal/ID Theft Plans • TeleHealth • Wellness via Omada Health (healthy living solution) • Travel Assistance • Business Travel Accident Coverage • Medical for foreign travel coverage • Employer-paid Pet Telehealth • Accident Insurance • Critical Illness Insurance • Hospital Indemnity Insurance • Volunteer Time Off • 10 Holidays • Summer Sizzle • On Demand Pay (Daily Pay)