Lead the reference architecture and implementation of AI-first capabilities and intelligent automation across internal functions (Finance, HR, Operations, Customer Success). Requires designing secure, scalable LLM and AI runtimes, integrations, MLOps/LLMOps, and data governance. Qualifications include 8+ years in software/platform/AI architecture, 4+ years deploying production-scale AI (LLMs, agent orchestration), and hands-on experience with Python, SQL, cloud platforms, Docker/Kubernetes, Databricks/Snowflake.

Hands-on engineering role to implement tracing and explainability primitives for multi-agent LLM workflows, integrate and extend open-source observability/evaluation frameworks, build CI evaluation checks and red-team tests, and partner with product and security teams. Requires 3+ years' software engineering experience and production Python work; experience with LLM systems and cloud (Azure/AWS) is expected.

Work on data foundation and AI-native engineering for MeridianLink Coach: own data-heavy features from design through production, improve data models, pipelines, migrations, and multi-tenant systems, and integrate or operate AI APIs (e.g., OpenAI, Anthropic). The tech stack emphasizes TypeScript, Postgres, serverless AWS (Lambda, SQS, EventBridge, S3) and infrastructure-as-code.

Own member- and credit-union-facing product features end-to-end, shipping production-quality code across a TypeScript stack (React, Hono, Drizzle/Postgres) and AWS infrastructure (Lambda, SQS, EventBridge, S3) managed with SST/Pulumi. Requires 5+ years building and running production software, strong front-end and typed backend skills, experience integrating with AI APIs (OpenAI/Anthropic) and using AI agents and related tooling.