Solutions Architect - Infrastructure

Decagon
San Francisco
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 8-10 yearsSkills: ["Stakeholder management","Communication","Presentation","Negotiation","Problem-solving"]

Founding Solutions Architect - Infrastructure leads deployment architecture for a leading AI platform, guiding enterprise customers through containerization, multi-cloud strategies, and secure, scalable integrations. You will shape deployment playbooks, partner with Sales, Product, and Engineering, and establish credibility with CISOs, platform engineers, and DevOps teams to drive successful pre-sales and deployment outcomes.

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Decagon
Decagon
11 months ago

Solutions Architect - Infrastructure

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Founding Solutions Architect - Infrastructure leads deployment architecture for a leading AI platform, guiding enterprise customers through containerization, multi-cloud strategies, and secure, scalable integrations. You will shape deployment playbooks, partner with Sales, Product, and Engineering, and establish credibility with CISOs, platform engineers, and DevOps teams to drive successful pre-sales and deployment outcomes.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Partner with Account Executives to discover, qualify, and design deployment solutions that address customer infrastructure constraints and deliver measurable ROI.
  • •Navigate ambiguous conversations with customers about their infrastructure landscape, translating diverse environments (GCP, AWS, hybrid, on-prem) into clear integration and deployment strategies for Decagon's platform.
  • •Design containerization approaches, cloud function implementations, and infrastructure architectures tailored to each customer's unique requirements and security posture.
  • •Establish scalable pre-sales processes, deployment playbooks, and reusable reference architectures to support growth.
  • •Engage with stakeholders across the organization to translate infrastructure requirements into actionable deployment strategies.

Pay and Benefits

Perks:Health InsuranceDentalVisionPaid Leave

Key Requirements

  • •8–10+ years of experience in customer-facing technical roles such as Solutions Architect, Solutions Engineer, or Technical Account Manager with a focus on infrastructure and deployment.
  • •Deep fluency in containerization (Docker, Kubernetes), GCP Cloud Functions/Cloud Run, and AWS architecture patterns—with the ability to adapt recommendations to customer constraints.
  • •Demonstrated success navigating ambiguous technical conversations with enterprise customers, asking the right discovery questions, and collaborating through uncertainty.
  • •Strong ability to engage with diverse stakeholders—from platform engineers to CISOs to business leaders—and translate infrastructure requirements into actionable deployment strategies.
  • •2+ years of experience selling or architecting AI/ML infrastructure solutions in enterprise environments.
  • •Hands-on experience with infrastructure-as-code (Terraform, Pulumi), service mesh technologies, or multi-cloud deployment patterns.
Experience:8-10 yearsAISaaSEnterprise softwareConversational AI
Skills:Stakeholder managementCommunicationPresentationNegotiationProblem-solving
Tech Stack:DockerKubernetesGCPCloud RunCloud FunctionsAWSTerraformPulumiService mesh

Company Brief

Decagon
Builds conversational AI agents and a platform that automates customer support across chat, email, and voice, enabling brands to deliver concierge-level customer experiences at scale.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2023
Glassdoor
Glassdoor: 3.9
WebsiteLinkedInGlassdoor