Principal Engineer, AI Productivity

IBM

Confirmed live today High trust

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Work type: On-site
Location: —
Posted: 4 days ago
Freshness: Confirmed live today

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How this pay compares to similar roles

Similar $212k

$187k most similar roles pay here $238k

This listing doesn't post a salary. Most similar roles pay $192,050–$232,937.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

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TL;DR · Principal Engineer, AI Productivity

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Confluent - Principal Engineer - AI Productivity serves as a strategic technical leader within the IBM Software team to define and drive internal agentic AI capabilities. The role focuses on building smart, automated decisioning systems and intelligent workflows to enhance R&D productivity by automating routine tasks and augmenting developer capabilities. You will develop a roadmap for agentic automation features, partner with Engineering, Security, and IT teams to scale AI usage, and establish governance frameworks for responsible AI behavior. Key responsibilities include delivering core agentic workflows, defining success metrics like automation ROI, and providing thought leadership on emerging technologies. The role requires expertise in distributed systems, LLM integration, workflow automation, and cloud-native platforms. You will solve the challenge of integrating automated intelligence into the software development lifecycle to accelerate internal engineering efficiency and product quality.

What does a Engineer earn?

Median $185000 from 253 postings across 57 companies.

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Skills

LLM Agentic AI Machine Learning Distributed Systems Cloud-Native SaaS Event-Driven Architecture Platform Engineering Workflow Automation Hybrid Cloud

What you'll do

Define and evangelize the strategy for agentic AI flows and automated decisioning systems.
Build a roadmap for implementing smart assistants and AI-driven workflows across engineering.
Partner with Engineering, Security, and IT to integrate AI capabilities at scale.
Deliver core agentic workflows that automate routine tasks and improve developer productivity.
Establish success metrics and KPIs for AI adoption, automation ROI, and workflow reduction.
Develop internal playbooks and guidelines for building and scaling agentic outcomes.
Represent the organization in external forums such as conferences and customer briefings.

What we're looking for

Master's Degree (preferred).
8+ years of experience driving strategic productivity initiatives in SaaS, cloud platforms, or developer tools with AI experience.
Expertise in building distributed systems and infrastructure/tools to support them.
Hands-on experience with LLM integration, workflow automation, and responsible AI practices.
Proven ability to lead cross-functional teams and influence senior stakeholders without direct authority.
Experience working in cloud-native platforms or developer ecosystems (preferred).
Prior leadership in scaling internal AI platforms or driving adoption across large organizations (preferred).

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