Senior Solution Architect – Customer Success
Articul8 AI
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- 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.
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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
solution architecturetechnical implementationenterprise software deliveryKubernetes orchestrationcloud platformsmicroservicescontainerizationPythonNode.jsGo
Soft skills
communicationpresentationdocumentationcustomer advocacycross-functional collaborationleadershiptrainingproblem-solvingcustomer enablementcontinuous improvement