AI Development & Agent Ops — Senior Principal Software Engineer

Dell Technologies•Hopkinton, MA

3d•$196,000 - $269,500•Hybrid

About The Position

This role is within Dell's AI Development & Agents Ops organization, focusing on building software with AI at the frontier. The individual will partner directly with a VP, contribute to shaping how Dell builds software, and operate at a scale where individual contributions have significant organizational impact. The position offers the opportunity to shape the architecture of AI transformation within the company, with substantial organizational commitment and resources. Dell's Infrastructure Solutions Group (ISG) is a global leader in Solutions, Storage, Compute, and Networking. The Developer Experience organization within ISG is responsible for developer productivity, tooling, observability, and platform engineering for approximately 9,000 engineers. Their current mandate includes agentic SDLC transformation, AI tooling governance, and the operating model changes required to make AI-assisted development the norm. ISG builds products that power infrastructure, solutions, and data management. Innovation at Dell involves challenging assumptions and reimagining how work gets done, with AI embedded throughout the development process. The company values human judgment in deciding what to build and how it should work, especially given the responsibility of powering critical infrastructure worldwide. They move quickly towards important work, reward experimentation, encourage bold thinking, and remove barriers to innovation. Teams embrace a customer-first, first-to-market mindset, transforming feedback into better products. They seek builders who question, improve, and rewrite the status quo. This role is for individuals energized by complex systems challenges, excited to work with AI to amplify impact, and motivated by shaping the future rather than maintaining the past. The position is on the AI Development & Agent Ops team, located in Hopkinton, MA, or Austin, TX.

Requirements

10+ years in a software engineering, platform engineering, security engineering, or related technical leadership role
Strong hands-on experience with AI-assisted software development, LLMs, agentic systems, AI development platforms, and modern software engineering practices
Demonstrated experience working with Product Security, Cybersecurity, Risk, Compliance, or Governance teams to deliver secure enterprise software solutions and platforms
Practical understanding of secure software development practices, threat modeling, identity and access management, application security, and software supply chain security
Experience working cross-functionally with engineering, product, security, and infrastructure stakeholders
Demonstrated ability to take ambiguous problems, structure them, and deliver concrete outputs including analyses, prototypes, specifications, or frameworks
Strong written and verbal communication skills, with the ability to translate technical complexity into clear documentation for both technical and non-technical audiences

Nice To Haves

Direct, hands-on experience with agentic development tools and platforms (e.g., Windsurf/Codeium, Claude Code, GitHub Copilot, Cursor, or equivalent)
Experience evaluating, securing, or governing AI applications, copilots, agentic workflows, or enterprise AI platforms
Familiarity with MCP ecosystems, AI security concepts, LLM token economics, and enterprise AI governance frameworks
Experience in a large enterprise environment with compliance requirements, security review processes, and non-negotiable human oversight needs
Background in developer experience, platform engineering, security engineering, or internal developer tooling.
Experience building dashboards, measurement frameworks, security metrics, or data instrumentation for engineering productivity and risk visibility
Comfort operating in ambiguity, defining structures and processes where few exist, and creating clarity without waiting for it

Responsibilities

Develop and manage the agent lifecycle framework, including agent versioning, testing, validation, security review readiness, deployment processes, and release management within the enterprise agent registry
Build and maintain shared services, reusable frameworks, developer tooling, and cross-platform integrations that accelerate adoption of AI agents while ensuring consistency, security, and compliance across product and engineering teams
Partner closely with Product Security, Cybersecurity, Legal, Risk, Compliance, and Infrastructure teams to incorporate security requirements and controls into agentic development workflows and platforms
Collaborate with cross-functional stakeholders to identify and address AI-specific security risks, including prompt injection, data exposure, agent permissions, secure tool usage, and external integrations
Define, implement, and maintain standards for knowledge base content, metadata, structure, accessibility, and access controls to ensure trusted and secure inputs for agentic systems and workflows
Drive engineering best practices across the agentic ecosystem, including automation, testing, observability, reliability, security-by-design principles, and continuous improvement of platform performance and developer experience