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Staff Engineer, AI Platform & Architecture (R5449)

2 hours, 32 minutes ago
United States
Full-time
Lead
AI Engineer
Software Development
Databricks Generative AI LLM MLOps Snowflake
Apply Now
Bitly

Bitly

Bitly is a link management platform offering URL shortening, QR codes, and a Link in Bio solution for brands to optimize customer experience.

Internet Software & Services
51-250
Founded 2008
$92M raised
View All Jobs 9

Description

  • Define and evolve enterprise AI architecture patterns for LLM integration, RAG, agentic workflows, prompt orchestration, and workflow automation.
  • Create reference architectures, design reviews, decision records, and implementation guidance for consistent AI development across business units.
  • Serve as a technical authority on model selection, integration approaches, data boundary enforcement, and AI lifecycle management.
  • Evaluate emerging AI technologies and recommend adoption paths aligned with security, operational, and enterprise architecture requirements.
  • Design and build reusable AI components, including connectors, agents, skill templates, prompt libraries, data pipelines, integration adapters, and service APIs.
  • Lead technical design for shared services supporting AI observability, logging, usage metering, evaluation, and lifecycle management.
  • Establish standards for quality, versioning, deprecation, documentation, and contribution across the shared AI component catalog.
  • Architect responsible AI controls for access management, data classification, prompt safety, output validation, audit logging, and policy adherence.
  • Partner with Security, Legal, Compliance, Finance, platform teams, and business units to embed governance, cost, and adoption practices into AI systems.
  • Mentor engineers and lead cross-functional technical initiatives from concept through production.

Requirements

  • Progressive experience in enterprise software engineering, AI platform engineering, data platform engineering, or digital workplace technology roles.
  • Deep hands-on understanding of generative AI, large language model integration, RAG architectures, agentic AI patterns, prompt orchestration, and production AI system design.
  • Experience designing shared platform services, reusable component libraries, APIs, integration frameworks, or developer enablement platforms used by multiple teams.
  • Strong architecture judgment across security, reliability, scalability, observability, maintainability, and operational cost tradeoffs.
  • Experience implementing or contributing to AI governance controls such as access management, data classification, audit logging, model lifecycle management, and compliance-aware development practices.
  • Ability to influence technical direction across matrixed teams through architecture reviews, written guidance, reference implementations, and hands-on collaboration.
  • Experience defining metrics, telemetry, or attribution mechanisms for adoption, productivity, cost, quality, or operational performance.
  • Strong written and verbal communication skills for technical and non-technical audiences.
  • Experience in regulated, defense-adjacent, security-sensitive, or data-governed environments is preferred.
  • Background in MLOps, AI observability, model evaluation frameworks, agent evaluation, and production monitoring is preferred.
  • Familiarity with enterprise AI tooling such as copilot platforms, workflow automation suites, vector databases, and enterprise search/RAG platforms is preferred.
  • Hands-on experience with enterprise data platforms such as Databricks, Snowflake, lakehouse architectures, or comparable data foundations is preferred.
  • Experience implementing usage metering, cost allocation, showback/chargeback, or AI spend optimization capabilities is preferred.
  • Advanced degree in Computer Science, Engineering, Data Science, or a related technical field is preferred.

Benefits

  • Pay within range listed, plus bonus, benefits, and equity for full-time regular employees.
  • Temporary employees receive pay within the listed range plus a temporary benefits package after 60 days of employment.
  • Benefits eligibility details vary by employee type.
  • Salary is influenced by experience, licenses and certifications, and work location.
  • Offers are contingent on a cleared background check and possible reference check.

Interested in this position?

Apply directly on the company website

Apply Now

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