Articul8 AI

Solving the world's toughest problems with Generative AI.

Senior Solution Architect – Customer Success

Solutions EngineerSolutions EngineerFull TimeRemoteTeam 11-50H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

69 days ago

Salary

Not specified

Bachelor Degree10 yrs expEnglishAWSAzureCloudGoogle Cloud PlatformGraph QLJava ScriptKubernetesMicroservicesNode.jsPythonGo

Job Description

• Solution Design: Deeply understand customer business challenges, mapping them to technical solutions and crafting compelling AI prototypes on the Articul8 platform that address real business objectives. • Customer Enablement: Lead technical workshops, hackathons, and training sessions to help customers envision AI transformation and empower their teams for ongoing success. • Cross-Functional Collaboration: Work seamlessly with Sales, Product, and Engineering teams to position the platform and deliver best-fit solutions. • Platform Deployment: Oversee installation, configuration, and scaling of the Articul8 platform in customer environments, ensuring high standards of security, reliability, and performance. • Custom Engineering: Develop and implement tailored workflow solutions to meet unique customer needs and requirements. • Infrastructure Optimization: Architect and tune Kubernetes-based environments on AWS, Azure, GCP, and on-premises for infrastructure excellence. • Ongoing Training: Deliver enablement workshops and documentation to support long-term customer autonomy and expansion. • Continuous Improvement: Monitor and refine deployments for cost-effectiveness, performance scalability, and resilience. • Customer Advocacy: Gather feedback and relay it to Product and Engineering, influencing roadmap and product enhancements based on actual customer needs.

Job Requirements

  • 10+ years in solution architecture, technical implementation, or enterprise software delivery, with a proven track record of engaging and advising executive and technical leadership.
  • Advanced proficiency in Kubernetes orchestration, cloud platforms (AWS, Azure, GCP), microservices, and containerization.
  • Strong foundation in modern programming languages such as Python, Node.js, or Go with hands-on software engineering experience.
  • Deep understanding of enterprise integration patterns, RESTful APIs, and GraphQL.
  • Demonstrated skill in building effective prototypes, demos, and production-ready deployments.
  • Exceptional ability to communicate complex technical concepts clearly to both executive and engineering audiences, with strong presentation and documentation skills.
  • Expertise in generative AI building blocks and at least one specialization in AI/ML pipelines, API design, data engineering, vector/graph databases, or AI model orchestration.
  • Willingness and ability to travel for customer workshops, deployments, and support as necessary.

Benefits

  • The opportunity to architect and implement cutting-edge Generative AI for leading global enterprises.
  • A culture of curiosity and technical excellence, where you'll continuously learn and grow.
  • High ownership of solutions — your work goes live, impacts customers directly, and informs the product roadmap.
  • A collaborative team that values diversity, inclusion, and creativity, supporting both personal and professional development.
  • Equity and ownership opportunities in a category-defining company.
  • The chance to build reference architectures and deployments that will shape enterprise AI adoption at scale.

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