Banyan Software

Lead AI Architect - Data Platform

United States · Full-time

Sponsorship not specified$180k-$210kDetected 1 day ago

PythonCode ReviewSnowflakeRedshiftAWSTerraformMachine LearningAirflowData ScienceLLMsRAGA/B TestingBusiness DevelopmentM&ARecruitingCommunication

About the role

The cornerstone of the work is a centralized data model, a Banyan data lake, that consolidates the data we already have and unlocks safe AI experimentation for our internal functional teams: Finance, M&A, Business Development, and others.
This role is modeled on a classical Enterprise Architect role and adapted for an AI-first world.
A centralized data lake on AWS: the single, governed source of truth for internal Banyan data.

Define and own the target-state data and AI architecture for Banyan. Make the trade-offs explicit and write them down.
Partner with our Senior Business Analysts embedded in Finance, M&A, and Business Development to translate use cases into platform requirements and to unblock their work.
Define security, privacy, and AI safety guardrails. Classify data, design access tiering, and set the rules for handling PII, regulated data, and confidential portfolio information.
Stay hands-on. Write code, ship infrastructure, run code reviews, and debug production issues. Architects who do not build lose touch.
Build the team including vertical aligned Senior Business AI Analysts. Find suitable contractors for data platform engineers, ML platform engineers, and data engineers. Mentor them. Set the bar for engineering quality.
Own platform reliability, observability, and cost. Set SLOs, monitor usage, and keep the bill rational as we scale.
Represent Banyan's AI and data architecture to our executive team, our portfolio companies, and external partners.
We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance.
You can drive an architecture decision review with engineers and explain trade-offs to executives in the same week.
We do not optimize for the next quarter, so the platform you build can compound.

You have shipped, not just diagrammed.
Deep AWS expertise.
Real experience with modern AI/ML platform patterns: feature stores, model registries, experiment tracking, prompt and evaluation frameworks, retrieval-augmented generation, and basic agentic workflows.
You have led small teams, mentored engineers, set hiring bars, and grown people.
Experience designing AI guardrails for non-public, regulated, or competitively sensitive data.
Track record of treating internal platforms as products, with named users, SLAs, and a real adoption strategy.
Experience with Snowflake or Databricks.
A master's degree is a plus, not a requirement.

S3, Glue, Lake Formation, Athena, Redshift, Iceberg or similar open table formats, plus Terraform or CDK for infrastructure as code.
Set the patterns for storage, cataloging, query, ingestion, modeling, and lineage.
Likely stack: S3, Glue, Lake Formation, Athena, Redshift, Iceberg or similar open table formats, plus Terraform or CDK for infrastructure as code.
Bachelor's degree in computer science, engineering, or a related field.

Competitive base of CAD $180,000 to $210,000 plus performance bonus and benefits.

Experience in private-equity-backed or holding-company environments with multiple business units and inconsistent source systems.
Diversity, Equity, Inclusion & Equal Employment Opportunity at Banyan: Banyan affirms that inequality is detrimental to our Global Teams, associates, our Operating Companies, and the communities we serve.
Together, we unite for equality and equity.

This listing is sourced directly from Banyan Software's careers page and normalized into a canonical job model.