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Senior Professional Services, Technical Architect - AI

1 month, 1 week ago
United States
Full-time
Senior
AI (Artificial Intelligence)
Software Development
Ansible CI/CD DevSecOps Docker GitLab GraphQL LLM Python REST API Terraform YAML
Apply Now
GitLab

GitLab

GitLab: The comprehensive DevOps platform revolutionizing software development with automation, AI workflows, and essential tools for efficient collaboration.

Internet Software & Services
1K-5K
Founded 2014
View All Jobs 177

Description

  • Conduct deep customer discovery to understand business goals, technical constraints, and organizational dynamics, then translate them into prioritized use cases.
  • Partner with customer stakeholders across engineering, security, compliance, and business teams to define success criteria, milestones, and adoption plans.
  • Design, build, and deploy production-ready GitLab Duo Agent Platform solutions, including Custom Agents, Custom Flows, and CI/CD integrations.
  • Embed with customer engineering teams to deliver implementations end-to-end from prototype through production rollout, troubleshooting, and optimization.
  • Configure platform foundations such as runners, network access, runtime sandboxing, GitLab APIs, and AI governance controls for enterprise environments.
  • Measure and communicate impact using DORA metrics, AI Impact Analytics, and Value Stream Analytics to guide iteration and expansion.
  • Codify repeatable deployment patterns, reusable assets, and lessons learned into documentation, accelerators, and product feedback.
  • Travel up to 50% for customer site engagements and company onsite events to support delivery and stakeholder alignment.

Requirements

  • Experience leading customer-facing technical engagements from discovery through production rollout with ownership of outcomes.
  • Proficiency in Python and experience building and operating production-grade applications and integrations.
  • Experience with GitLab CI/CD, including pipeline design, YAML configuration, and GitLab APIs (REST and GraphQL).
  • Hands-on experience with infrastructure as code, such as Terraform or Ansible, in enterprise environments.
  • Working knowledge of large language model capabilities and limitations, including prompt engineering and agentic workflows.
  • Experience with Docker, container orchestration concepts, and runner configuration in secure environments.
  • Familiarity with DevSecOps practices, including security controls, access management, and compliance requirements.
  • Strong written and verbal communication skills in a remote, asynchronous environment.
  • Willingness and ability to travel up to 50% for customer and onsite engagements.
  • Experience with Custom Agents, Custom Flows, or other agentic AI implementations is preferred.

Benefits

  • United States base salary range of $164,880 to $247,320 USD.
  • Flexible Paid Time Off.
  • Equity Compensation and Employee Stock Purchase Plan.
  • Growth and Development Fund.
  • Parental leave.
  • Home office support.
  • Benefits to support health, finances, and well-being.
  • Remote work with global hiring flexibility, subject to location-based eligibility requirements.

Interested in this position?

Apply directly on the company website

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