AI Development & Agent Ops — Senior Principal Software Engineer

Dell Technologies; Hopkinton (MA); On-site; USD 180,000 - 250,000; Full time

Job summary

Dell Technologies is seeking an experienced software engineering leader to design and build scalable services and platforms that empower 9,000 engineers to leverage AI agents across the SDLC. You will engineer the agentic harness, oversee the agent lifecycle framework, and establish standards for knowledge base content.

The role requires over 10 years of software engineering experience, deep CI/CD and DevOps expertise, and a proven ability to solve ambiguous problems in large enterprise

Qualifications

• Requires over 10 years of software engineering experience with deep expertise in CI/CD, DevOps, and the current AI/agentic landscape.
• Candidates should have a proven ability to solve ambiguous problems and experience working cross-functionally in large enterprise environments.

Responsibilities

• Design and build the services and platforms that enable 9,000 engineers to utilize AI agents at scale within the SDLC.
• This includes engineering the agentic harness, managing the agent lifecycle framework, and defining technical standards for knowledge base content.

Skills

Software Engineering

CI/CD

DevOps

AI Agent Development

Platform Engineering

Model Context Protocol (MCP)

LLM Token Economics

Developer Tooling

Agentic SDLC

Orchestration

Observability

Technical Documentation

Cross-functional Collaboration

AI Governance

Release Management

System Architecture

Education

Job description

Design and build the services and platforms that enable 9,000 engineers to utilize AI agents at scale within the SDLC. This includes engineering the agentic harness, managing the agent lifecycle framework, and defining technical standards for knowledge base content.

Requirements

Requires over 10 years of software engineering experience with deep expertise in CI/CD, DevOps, and the current AI/agentic landscape. Candidates should have a proven ability to solve ambiguous problems and experience working cross-functionally in large enterprise environments.

Key Skills

• Software Engineering
• CI/CD
• DevOps
• AI Agent Development
• Platform Engineering
• Model Context Protocol (MCP)
• LLM Token Economics
• Developer Tooling
• Agentic SDLC
• Orchestration
• Observability
• Technical Documentation
• Cross-functional Collaboration
• AI Governance
• Release Management
• System Architecture