Solutions Architect at Level AI

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Contact CentersIndustries

Requirements

Bachelor's degree in Computer Science, Information Systems related field OR equivalent experience
3+ years of experience in a hands on technical role
1+ years of experience in development, integration engineering, or SaaS/cloud-hosted solutions
Strong technical background with experience interacting with APIs and using cloud services
Experience with integrating with CRMs such as Salesforce
Ability to translate complex concepts into actionable items to non-technical stakeholders
Strong communication skills in English (both written and verbal)
Entrepreneurial & Problem-Solving Attitude - Self-motivated, adaptable, and resourceful in tackling implementation challenges
Proficiency in programming languages such as Python and JavaScript for process automation
Excellent troubleshooting, problem-solving, and analytical skills
Quick learner who can rapidly adapt to new software, including Level AI and industry-specific tools used by customers
Optional Requirements
Familiarity with intent-based and generative artificial intelligence
Experience with Telephony Systems such as AWS Connect, Five9 and Genesys

Responsibilities

Clearly communicate Level AI’s infrastructure and technology to prospects, customers, and internal teams, tailoring the level of detail to the audience’s technical expertise
Spearhead technical discussions with customers in partnership with the delivery team, supporting both pre- and post-sales activities
Develop tactical solutions for strategic customers to optimize their setup and workflows within Level AI
Collaborate closely with Sales Engineers and the engineering team to create proof-of-concept (POC) solutions that showcase the value of Level AI integrations
Assist during the onboarding process by managing program tasks related to technical configurations, including telephony system integrations and data integration (both API-based and SFTP-based)
Support and optimize the integration of telephony platforms (e.g., Twilio, Genesys, Five9, or similar) with Level AI’s solutions
Manage and implement secure SFTP file transfers to support customer workflows and ensure data integrity
Understand clients' technical requirements which may require leading technical discovery sessions to ensure that our AI-powered customer support solutions are configured appropriately to meet their needs
Collaborate with internal teams, including sales, product, engineering, and customer support, to address client needs and resolve technical issues
Develop and maintain a deep understanding of our AI-powered customer support solutions, and effectively communicate technical information to clients

Skills

Key technologies and capabilities for this role

TwilioGenesysFive9API IntegrationSFTPTelephony IntegrationSolutions ArchitectureSystem IntegrationProof of ConceptLarge Language Models

Questions & Answers

Common questions about this position

What experience is required for the Solutions Architect role?

A Bachelor's degree in Computer Science, Information Systems or related field (or equivalent experience) is required, along with 3+ years in a hands-on technical role and 1+ years in development, integration engineering, or SaaS/cloud-hosted solutions.

What technical skills are needed for this position?

Candidates need a strong technical background with experience interacting with APIs, using cloud services, and integrating telephony platforms like Twilio, Genesys, or Five9, as well as managing SFTP file transfers.

Is this a remote position or does it require working in the office?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of collaboration is involved in this role?

The role involves close collaboration with Sales Engineers, the engineering team, Customer Delivery team, Sales team, product, and customer support to address client needs, develop POCs, and resolve technical issues.

Level AI

Enhances customer experience through intelligent automation

About Level AI

Level AI enhances customer experience by integrating human and machine intelligence, primarily serving the Business Process Outsourcing (BPO) industry, including call centers and customer service departments. The company provides software solutions that analyze and optimize call center data, breaking down data silos to ensure all relevant information is accessible for better decision-making and improved customer interactions. Level AI operates on a subscription model, charging clients for access to its platform and tools. Its technology boosts sales team conversion rates and increases the productivity of Quality Assurance (QA) teams, leading to reduced QA costs. By focusing on intelligent automation and data integration, Level AI helps clients achieve significant performance improvements and cost savings, setting it apart from competitors in the BPO sector.

Mountain View, CaliforniaHeadquarters

2018Year Founded

$72.4MTotal Funding

SERIES_CCompany Stage

Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Remote Work Options

Parental Leave

401(k) Retirement Plan

Risks

Emerging competition from other AI platforms threatens Level AI's market share.

Rapid AI advancements could render Level AI's offerings obsolete without continuous innovation.

Data privacy regulations may impact operations, especially with new monitoring features.

Differentiation

Level AI integrates human and machine intelligence for enhanced customer experience.

The company eliminates data silos, improving decision-making and customer interactions.

Level AI's subscription model offers steady revenue and customer retention.

Upsides

Increased demand for AI-driven customer service solutions boosts Level AI's market potential.

Growing interest in real-time conversational intelligence tools enhances call center performance.

Rising adoption of generative AI technologies automates tasks and personalizes interactions.

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