New Roles · Engineering AI Builders

Agentic Developer. The role, the market signal, and how to build it in your org.

Builds workflows that connect agents, tools and multiple steps. Handles shared state, failed actions and handoffs, then tests the combined behavior against the workflow requirements.

In a workforce of people and AI agents, this role takes shape around the workflows it supports. Define its responsibilities and handoffs, then prepare people to perform that work.

Source snapshot 2026-07-17. Postings do not confirm that a vacancy is still open.

330 postings · 235 distinct titles · from 264,613 real job postings · see the source snapshot →

What the market calls it
Agentic Automation DeveloperAgentic AI EngineerMulti-Agent Developer
Employers in this source snapshot
PwC 84Capitalone 50Paypal 18ServiceNow 16Booz Allen Hamilton 15

What the postings ask this role to do

5,268 tasks extracted from real Agentic Developer job descriptions, classified Automate / Augment / Human-only. In this source classification, 1.1% of task statements are automation candidates. The share does not measure working time or demonstrated agent performance.

Automate
  • Monitor service performance.
  • Perform large language model inference.
  • Automate deployment workflows for ml systems.
  • Use automated testing tools to test and maintain ai software.
Augment
  • Leverage a broad stack of open source and saas ai technologies such as aws ultraclusters, huggingface, vectordbs, nemo guardrails, pytorch, and more.
  • Identify and prioritize opportunities where autonomous agents and generative ai can drive business value.
  • Define structured data models with pydantic.
  • Implement rag pipelines and memory-augmented workflows.
  • Integrate apis, enterprise applications, and mcp/a2a protocols.
Human-only
  • Contribute to the technical vision and the long term roadmap of foundational ai systems at capital one.
  • Define and execute the long-term roadmap for agentic ai and genai initiatives.
  • Collaborate with executive leadership to align ai strategy with overall business goals.
  • Mentor junior team members.
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver ai-powered products.
How we build it in your org

From the market's version of this role to your version of it

1. Define workflow responsibilities
Start with the actual work this role must improve and the output your enterprise needs. Define how people and agents share the decisions, exceptions and handoffs. Task Intelligence examines the tasks within that work.
2. Define your version
Your team defines the role around its own systems, data, rules and responsibilities. Agree what the person configures, builds, reviews or supervises and what technical support is needed.
3. Practise and assess readiness
Build on the domain and technical expertise your people already bring. Shape a practical project around your enterprise context, then use relevant Simulations, GenAI Sandboxes and Skill Validation Assessments to review the work and capability demonstrated.

Start with the work, not the org chart.

Define what this role will build, configure, decide and check. Connect that work to an enterprise-specific project and agreed assessment evidence.