Fullstack Architect – AI

This is a fully remote position, open to applicants in Colombia, +1 more country.

📋 Description

• Oversee the technical design and serve as the sole design authority for AdVise, a campaign-management platform managing around 1,600 Google Ads and Meta accounts for automotive dealerships.

• Document architectural decisions in architecture decision records and maintain the shared decision log.

• Establish the provider-neutral desired-state and delta model, along with a governed write-path contract.

• Create precedence, managed-scope, and field-ownership models across Salesforce, live platform state, playbooks, locks, compliance rules, inventory, and offers.

• Develop the rules engine, including rule classes, evaluation order, failure handling, import validation, rendering gates, and live-campaign sweeps.

• Manage the operating envelope, encompassing rate limits, polling cadence, workload yield order, and full-book-scale headroom.

• Define security and identity architecture, including roles, SSO, service identities, privileged-action audits, and approval authority.

• Design integrations and data contracts for Google Ads, Meta, Salesforce, Snowflake, and client offer/incentive data.

• Determine the operational store, queues, orchestration strategy, and the split between build versus buy on the AWS platform.

• Establish and validate measurable non-functional targets through load and performance testing.

• Develop migration architecture, rollback plans, pilot-wave scorecards, wave planning, and acceptance tolerances in collaboration with the Engineering Manager.

• Oversee AI Harness architecture and governance, including guardrails, human review gates, approved tooling, spend controls, and security reviews.

• Create the Release Two runway for AI agents utilizing governed write paths, locks, and audit trails.

• Lead technical spikes, design reviews, and code reviews; assess every capability's architecture prior to development.

• Engage in steering, prepare milestone sign-off technical documentation, record findings, and escalate obstacles within one business day.

• Collaborate with client engineers and develop documentation and decision records for independent operation and extension.

• Work alongside product leaders, paid-media strategists, client engineering and data teams, the Engineering Manager, and the delivery team.

⛳️ Requirements

• Extensive experience as a senior solutions or software architect on production platforms that integrate with external systems at scale.

• Proficient in designing transactional and auditable write paths, including idempotency, partial failure, retries, reconciliation, and concurrency control.

• Strong grasp of asynchronous and event-driven architectures, queues, workflow orchestration, and scheduled execution.

• Experience with integrating rate-limited third-party APIs, including quota budgeting, polling strategies, and change-data capture.

• Expertise in relational data modeling, SQL, data contracts, and integration with CRM platforms and data warehouses.

• Solid foundation in security architecture: authentication, authorization, role-based access, service identities, secret management, and auditing.

• Experience with cloud architecture on AWS or significant expertise on another major cloud platform with the capability to quickly adapt to AWS.

• Familiarity with infrastructure as code, CI/CD processes, environment separation, observability, and production support.

• Working knowledge of Vue.js and PHP, specifically Laravel, sufficient to evaluate designs and code within those frameworks.

• Experience drafting architecture decision records and technical documentation for teams taking over responsibilities.

• Proven track record of delivering within fixed-price, milestone-based projects, including scope control and acceptance evidence.

• Excellent communication skills, capable of articulating technical decisions and trade-offs to both executives and engineers.

• Practical experience in designing AI-assisted engineering workflows or AI harnesses with human review checkpoints.

• Ability to determine when a capability should be deterministic, AI-assisted, or agentic, and justify that distinction.

• Understanding of AI guardrails concerning permissions, tool access, prompt injection, data leakage, audit trails, evaluations, and token costs.

• Experience in designing architectures where AI agents operate through the same governed paths, approvals, and audit trails as human users.

• Familiarity with structured outputs, tool calling, context management, model selection, and managed model access within a client's own cloud environment.

• Capability to establish a secure and reusable AI platform foundation before introducing autonomous functionalities.

• Preferred: Experience with the Google Ads API, Meta Marketing API, or similar advertising platforms.

• Preferred: Experience with Salesforce, Snowflake, Datadog, or Looker.

• Preferred: Demonstrated experience migrating live production systems to a new platform without service interruption.

• Preferred: Background in campaign management, marketing technology, compliance engines, or rules-based systems.

• Preferred: Familiarity with automotive retail, OEM advertising programs, or co-op compliance.

• Preferred: Relevant cloud architecture certifications on AWS, Azure, or GCP.

• Preferred: Experience leading knowledge transfer and platform handover to a client's engineering team.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional growth and development.

• Flexible work environment with remote work options.

• Comprehensive health and wellness benefits.

• Collaborative and innovative team culture.