About The Position

At Articul8, we build enterprise-grade Generative AI solutions that help global organizations unlock new value from their data. Our platform is trusted by some of the world's most innovative companies, and we partner closely with customers to design, deploy, and scale AI solutions that deliver measurable impact. As a fast-moving startup, we move with urgency and focus. Every team member has real ownership, and the work you do here directly shapes our platform and our customers' success. If you thrive in an environment where innovation happens daily and impact is visible, Articul8 is the place to do the best work of your career. We are seeking a Senior Solution Architect with 10+ years of experience to join our Customer Success team. In this comprehensive role, you will guide customers through their entire AI journey - from initial solution architecture and technical discovery in pre-sales to hands-on implementation and optimization post-sale. This position requires both strategic thinking to articulate the value of our platform and technical depth to ensure successful deployment in complex enterprise environments.

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.

Responsibilities

  • 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.

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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