Fiduciary Architect

Location: Remote / Flexible

Schedule: Flexible & Autonomous

Compensation: Hourly to start, with performance-based promotion to revenue share model

About Us

We are a niche, high-performance data science consulting firm operating with a fiduciary mindset — meaning we act in the absolute best interests of our clients, structuring engagements to align incentives and deliver measurable value. Our solutions span advanced analytics, AI/ML systems, automation, and strategic advisory, and we only succeed when our clients do.

Role Overview

We’re seeking a Fiduciary Architect who combines strategic design expertise with hands-on engineering skills to deliver end-to-end technical solutions. You’ll collaborate with the Data Science Lead for project direction, then design, build, and deploy robust architectures that meet performance, scalability, and security requirements. This role requires the ability to balance high-level architectural vision with the practical execution needed to deliver in production environments.

Our unique model rewards results, not just hours worked — starting hourly, with the opportunity to transition into a revenue-share compensation model for high-performing contributors.

Responsibilities

  • Work from direction provided by the Data Science Lead to design scalable, secure, and efficient architectures for AI, data, and analytics solutions.

  • Translate business and technical requirements into system designs, data flows, and infrastructure plans.

  • Build, configure, and deploy solutions across cloud and hybrid environments.

  • Integrate machine learning models, APIs, and data pipelines into production-ready systems.

  • Ensure system designs are optimized for performance, cost efficiency, and maintainability.

  • Document architecture and implementation details for internal teams.

  • Stay current on emerging technologies, frameworks, and design patterns, applying them where they deliver measurable value.

Qualifications

  • Proven experience designing and delivering complex systems from architecture through implementation.

  • Strong proficiency in one or more cloud platforms (AWS, Azure, GCP) and their native services.

  • Hands-on expertise with infrastructure-as-code tools (Terraform, CloudFormation, ARM templates) and automation frameworks.

  • Proficiency in integrating data pipelines, APIs, and ML/AI components into production systems.

  • Strong understanding of security, scalability, and performance optimization principles.

  • Entrepreneurial mindset with the ability to self-manage and deliver high-quality results.

  • A continuous learner who embraces new tools, technologies, and challenges.

Compensation & Growth

  • Starting Pay: Hourly, based on experience.

  • Performance Path: High performers are transitioned into our revenue-share model, where earnings are tied directly to the measurable business impact you help create.

for those interested in the role, please inquire below

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