AI Solutions Architect
$200,000 USD/year Pay is set based on global value, not the local market. Most roles = hourly rate x 40 hrs x 50 weeks 

Worldwide
Semi-flexible schedule
Fully-remote
full-time (40 hrs/week)
Long-term role

AI Solutions Architect   $200,000 USD/year

Description

You're a full-stack product engineer seeking ownership over task execution. This position gives you end-to-end control of an AI product: weekly customer engagement, feature prioritization, and production deployment authority. Two core objectives define the role: evolving Kayako One to autonomously resolve support tickets and constructing an AI-driven sales pipeline that shepherds prospects from initial contact through deal closure. You direct the technology stack, product roadmap, release schedule, and business results.

The broader industry isolates engineers from end users under the banner of "process." That's not our approach. No layers of product management, design, or customer success teams stand between you and ground truth. Weekly discovery sessions are yours to lead—you'll convert user pain into shipping decisions, deploy rapidly, and track tangible outcomes. You'll also architect the AI sales automation framework that could define how Trilogy executes sales across its entire portfolio. Adoption metrics, resolution rates, CSAT scores, and pipeline velocity form your performance dashboard.

This role means total ownership: developing new AI capabilities within Kayako One to elevate ticket resolution performance; establishing integrations with CRM and ticketing systems; designing outreach workflows and targeting algorithms; building pipeline connectors; creating reporting that validates impact; plus handling all deployment, monitoring, and incident management to ensure uptime. This isn't a backend-only position executing someone else's specifications, nor a comfortable lane with clean handoffs. You'll write code when required, configure AWS infrastructure expertly, adopt tools like Voiceflow or Cursor without friction, and make LLMs perform reliably in production rather than merely shine in demos.

You'll operate at the strategic edge of our help desk product and an AI sales automation initiative, with visibility across the portfolio. Success means customers actively using your releases, improved resolution speed, elevated user satisfaction, and a leaner, faster-moving pipeline. If you're ready to own results, engage customers weekly, filter out distractions, and ship what drives the metric, this opportunity is yours.

What you will be doing

  • Develop and deploy Kayako One capabilities—AI-driven ticket resolution enhancements, CRM/ticketing platform integrations, reliable and scalable infrastructure, plus performance optimizations and bug remediation.
  • Lead weekly customer discovery sessions to convert genuine pain points into actionable requirements and confirm product strategy with actual users.
  • Construct the AI sales automation infrastructure—outreach workflows, pipeline and tool integrations, automated progression through sales stages, and impact reporting.
  • Manage deployments and operational health—full-stack releases, monitoring/alerting/incident handling, and AWS/database infrastructure management.

What you will NOT be doing

  • It isn't simply coding against handed-down specifications — you define what gets built using direct customer feedback.
  • It isn't work that remains in staging environments — every solution you create reaches production and live customers.
  • It isn't narrow technical specialization — you control the complete stack, infrastructure layer, and customer journey.

Key responsibilities

  • Develop and sustain an AI-powered customer support system capable of resolving tickets without human intervention
  • Develop and sustain a complete AI sales pipeline managing deals from initial contact through closure

Candidate requirements

  • Minimum 5 years of professional software development experience
  • Track record owning complete products or significant systems, beyond individual features
  • Proven experience shipping AI/LLM-powered products to production (not limited to prototypes or demonstrations)
  • Comprehensive AWS expertise, including Lambda, S3, OpenSearch, RDS, CloudWatch, EventBridge, EC2, Route 53, CloudFront
  • LLM/AI integration proficiency, including Claude/ChatGPT prompt engineering, API integration
  • Coding proficiency in Python, Java, and JavaScript
  • Working knowledge of MySQL database
  • Hands-on experience with Docker, deployment pipelines, and GitHub workflows
  • Practical experience with OpenAI and JWT API development
  • Familiarity with DNS management and web infrastructure
  • Direct customer-facing experience

Meet a successful candidate

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Fabiano Lucchese
Fabiano  |  SVP of Software Engineering
Brazil  

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