Software Senior Principal Engineer / Autonomous AI Software Engineering

Dell Technologies; Hopkinton (MA); On-site; USD 200,000 - 275,000; Full time

Job summary

Dell Technologies is seeking a Software Senior Principal Engineer for the Autonomous AI Software Engineering team in Hopkinton, MA. This onsite role leads architecture across the software development lifecycle, focusing on agent-driven autonomy and governance.

You will prototype, evaluate, and guide enterprise-scale deployment with hands-on execution and leadership. The role emphasizes designing secure runtimes, multi-agent orchestration, and high-autonomy platform capabilities, reporting to the

Qualifications

• 12+ years of software engineering with 5+ years in architect/lead roles for large-scale platforms.
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Responsibilities

• You will define reference architectures for autonomous agent systems across the SDLC.

Skills

Autonomous AI

Architectural leadership

Multi-agent systems

Secure execution environments

Proof-of-concept development

Python

TypeScript/Node.js

REST/GraphQL APIs

CI/CD

Debugging/Testing

Education

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Tools

Docker

Kubernetes

PostgreSQL

Git workflows

OpenTelemetry

REST APIs

GraphQL

Job description

Software Senior Principal Engineer - Autonomous AI Software Engineering

Software engineering is being reshaped by autonomous AI agents that can plan, write, test, and review code with increasing independence. Our team works at the forefront of that shift, bringing agent-driven autonomy into the software development lifecycle so that engineers set direction and make key decisions while agents handle execution.

Because the agent landscape evolves rapidly, we stay hand-on: exploring promising approaches, validating them through rigorous experimentation on real engineering workloads, and turning successful outcomes into enterprise-grade software development practices. We are a small, AI-native team operating with startup agility-emphasizing high autonomy, rapid iteration, and seamless human-AI collaboration.

Join us to do the best work of your career and make a profound impact as a Software Senior Principal Engineer on our AI Governance Engineering team in Hopkinton, Massachusetts. This is an onsite role.

What You'll Achieve

You will serve as the technical leader and architect for autonomous AI across our software development lifecycle. You will define the target architecture for agent-driven engineering, lead objective evaluations of commercial, open-source, and in-house technologies, and translate proof-of-concept results into actionable technical strategies for executive leadership.

This is a hands-on architecture role: you will write code, build critical prototypes and integrations directly, and guide engineering teams by technical example from pilot stages to enterprise-scale deployment.

Responsibilities

You Will:

• Define Reference Architectures: Architect autonomous agent systems within the SDLC, encompassing orchestration, multi-agent design patterns, tool use, Model Context Protocol (MCP), sandboxed runtime environments, model routing, human-in-the-loop controls, and integration with existing engineering platforms and governance frameworks
• Lead Technical Evaluations: Maintain deep visibility into the agent ecosystem, establish objective evaluation criteria (capability, autonomy, quality, security, scalability, extensibility, and total cost of ownership), and design proof-of-concept tests to drive build-versus-buy decisions
• Own Verification and Validation: Establish the testing, qualification, and acceptance standards for agent-generated code and artifacts, including continuous benchmarking and regression monitoring for agent platforms and underlying models
• Architect for Trust and Safety: Design frameworks ensuring auditability, traceability of agent actions, reproducibility, data privacy, failure containment, robust permission models, and mitigations against vulnerabilities such as prompt injection and unauthorized tool execution
• Drive Platform Adoption: Establish the autonomy maturity roadmap, directly construct core platform capabilities and integrations, mentor senior technical talent, and align technical initiatives across cross-functional engineering organizations

Technologies You'll Work With

• Agents & LLMs: Commercial and open-source autonomous coding agents/frameworks, frontier and open-weight models, LLM gateways, function/tool calling, Retrieval-Augmented Generation (RAG), and the Model Context Protocol (MCP)
• Engineering & Integration: Python, TypeScript / Node.js, REST and GraphQL APIs, Git-based workflows, and modern CI/CD automation
• Verification & Testing: Automated testing frameworks, Test-Driven Development (TDD), mutation and property-based testing, static code and security analysis, and LLM evaluation benchmarks
• Runtime & Observability: Sandboxed container execution (Docker, Kubernetes), OpenTelemetry tracing, operational metrics/dashboards, and PostgreSQL

Essential Requirements

• 12+ years of software engineering experience, including 5+ years as an architect or technical lead for large-scale distributed platforms
• Proven track record architecting, deploying, and maintaining production-grade autonomous agent platforms (including agent runtimes, orchestration engines, tool/MCP integrations, context management, and dynamic model routing)
• Demonstrated experience designing multi-agent architectures for autonomous software development (e.g., task decomposition, planner/executor/reviewer paradigms, structured agent handoffs, and human-in-the-loop validation delivering production pull requests)
• Deep technical expertise in secure agent execution environments: sandboxing, workload scheduling, persistent state management, distributed tracing/replay, cost optimization, fine-grained access control, and defense-in-depth against prompt injection and sandbox escape
• Direct experience building evaluation frameworks, automated benchmarking suites, and regression testing pipelines for agents, prompts, and model upgrades, backed by comprehensive knowledge of the open-source and commercial agent ecosystem

Desirable Requirements

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• Experience scaling an agent platform from prototype to widespread enterprise adoption, or prior experience building commercial agent-based software products
• Advanced familiarity with long-horizon agent reasoning techniques, including autonomous planning, reflection, self-correction, and reinforcement learning from feedback
• Recognized technical leadership in agentic AI, demonstrated through open-source contributions, technical publications, patents, or benchmark releases

About Dell Technologies - ISG Developer Experience

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. Our current mandate spans agentic SDLC transformation, AI tooling governance, and the operating model changes required to make AI-assisted development the norm - not the exception.

Infrastructure Solutions Group (ISG) builds the products that power infrastructure, solutions, and data management our customers need most. Our teams design and develop the hardware and software that connect infrastructure, accelerate computational workloads, integrate across the stack, protect data continuity, and deliver the platforms, applications, and diagnostics our customers rely on every day at enterprise scale.

Some product builders follow the rules. Ours rewrite them.

Within ISG, innovation isn't just about creating new technology - it's about challenging assumptions and reimagining how work gets done. Engineers define intent, author precise specifications, and orchestrate AI agents that execute at speed and scale. AI is embedded throughout our development process, helping us move faster, learn quicker, and deliver greater impact. Yet the most important contribution remains uniquely human: deciding what to build, designing how it should work, and applying the judgment needed to earn our customers' trust. When your products power critical infrastructure around the world, that responsibility matters.

We move quickly toward the work that matters most. We reward experimentation, encourage bold thinking, and remove unnecessary barriers so great ideas can become reality faster. Our teams embrace a customer-first, first-to-market mindset, transforming rapid feedback into better products and better outcomes. We aren't looking for people who are content with the status quo - we look for builders who question it, improve it, and occasionally rewrite it.

If you're energized by solving complex systems challenges, excited to work alongside AI to amplify your impact, and motivated by the opportunity to shape what's next instead of simply maintaining what's been done before, you'll find your place here.

Join us and help build the future of enterprise technology.

Compensation

Dell is committed to fair and equitable compensation practices. The salary range for this position is $200,000 to $275,000

Benefits and Perks of Working at Dell Technologies

Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com

About Us

Who We Are

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