# Applied AI Engineer, Learning Intelligence

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Remote
**Role:** Fullstack Engineering
**Salary:** $111k – $191k/yr
**Experience:** 5+ years
**Skills:** Python, SQL, React, Flask, FastAPI, Databricks Apps, Unity Catalog, Delta Lake, Lakebase, Databricks Workflows, Databricks Sdk, Cloud Infrastructure, Distributed Systems, Identity And Access Management, Data Pipelines
**Posted:** 2026-08-06

> Owns the architecture, engineering, and operations of AI-powered learning platforms and integrations. The role requires 5–7 years of production software or data platform experience, strong full-stack or platform engineering skills, and expertise in secure, scalable data-intensive systems.

## Job Description

## Responsibilities

- Own the architecture and technical strategy for learning platforms and enablement products from discovery through production operation and evolution.
- Design and implement AI-powered capabilities, including recommendation systems, skill inference, intelligent search, personalization, and analytics-driven learning workflows.
- Build secure, privacy-aware data systems integrating learning, workforce, customer, and operational platforms.
- Develop Databricks-native applications, data pipelines, APIs, automations, and user experiences.
- Establish engineering practices for reliability, observability, testing, release management, access control, and lifecycle ownership.
- Define integration strategies across learning management systems, lab environments, content platforms, identity systems, and internal data products.
- Partner with business leaders on product direction, roadmaps, trade-offs, and measurable outcomes.
- Address security, privacy, compliance, governance, and responsible AI requirements.
- Lead cross-functional technical programs involving multiple engineering teams and senior stakeholders.
- Mentor engineers, contribute to hiring, and create reusable engineering patterns.
- Provide technical thought leadership through architecture documents, presentations, guidance, and community engagement.

## Requirements

- 5–7 years of experience designing, building, and operating production software or data platforms, with experience leading work across organizational boundaries.
- Experience owning architecture and technical direction for complex, multi-system products.
- Strong full-stack or platform engineering background, including backend services, APIs, data pipelines, cloud infrastructure, and modern web applications.
- Experience designing and operating AI- or data-intensive systems such as recommendation engines, inference pipelines, search, personalization, or analytics products.
- Fluency in Python or a similar production programming language, strong SQL, and experience with relational and analytical data systems.
- Experience with cloud platforms, distributed systems, identity and access management, security controls, and production operations.
- Strong judgment regarding data privacy, governance, least-privilege access, and responsible AI.
- Ability to communicate with engineers, product managers, security and legal partners, and senior business leaders.
- Track record of delivering results with minimal oversight while bringing structure to ambiguous problems.
- Collaborative leadership style combining technical depth, product thinking, pragmatism, and bias for action.

## Preferred Qualifications

- Experience with Databricks Apps, Lakehouse architectures, Unity Catalog, Delta Lake, Lakebase, Workflows, SQL Warehouses, or the Databricks SDK.
- Experience integrating learning, content, assessment, identity, HR, or customer-facing platforms.
- Experience building systems for internal users, external customers, or partners.
- Experience scaling automation and operational workflows across large user populations or high-volume data sources.
- Experience with React and Flask or FastAPI.
- Experience mentoring senior engineers or leading technical programs across multiple teams.
- Technical thought leadership through conference talks, publications, open-source work, or industry communities.

## Compensation and Benefits

- ATS-listed salary range: **$111,200–$191,050 USD**.
- Compensation may include an annual performance bonus, equity, and benefits.
- Comprehensive benefits and perks are offered; details vary by region.

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