Senior Principal Software Engineer - IT
Dell Technologies · Posted Oct 26
Enterprise infrastructure, personal computers, servers, storage, and cloud technology solutions
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About the role
The Security Resiliency Organization is rebuilding fragmented, manually-run security processes into consolidated, AI-native workflows that run in production at scale. The team works on applied AI and agentic systems for security, using tools such as LangGraph and LangFuse with Kubernetes, Docker, PostgreSQL, and Elasticsearch. As the most senior IC on the applied AI team, the Applied AI Engineer sets the engineering standard, architects agentic implementations, owns context engineering, and resolves production defects at root cause.
What you will do
- You will set the technical bar for how AI-native security workflows are built, instrumented and hardened for production.
- You will own consolidation of duplicated processes into single, reusable implementations that every dependent function shares.
- You will establish the reusable agent patterns, context strategy and integration surfaces that every later workflow builds on.
- Architect agentic implementations using LangGraph (or equivalent orchestration) – sub-agent delegation, state and checkpoint handling, and deterministic gating and verdict logic – from approved solution designs.
- Own context engineering end to end: retrieval and search, memory, embedding-based grounding against enterprise data, prompt assembly and schema-constrained output under real payload sizes.
- Instrument production systems with LangFuse (or equivalent) for tracing, token/cost accounting and latency measurement, deploying on Kubernetes and Docker with PostgreSQL and Elasticsearch as the data and retrieval layers.
- Work directly with functional owners to establish operational detail a design does not carry, and re-engineer the process itself rather than reproducing it step for step.
- Resolve production defects escalated from agent operations at root cause, and raise design gaps to the solution owner rather than resolving them unilaterally in code.
Skills used in this role
What the employer is looking for
- 12+ years in software engineering with direct ownership of systems in production; agentic systems personally built and shipped, not prototypes or proofs of concept.
- Strong Python plus one of TypeScript/JavaScript or Go, with deep code-quality practice (testing, review, refactoring) at scale.
- Deep hands-on experience with LangGraph (or equivalent), embedding concepts, retrieval-augmented generation and LLM observability tooling such as LangFuse.
- Production-grade command of Kubernetes, Docker, PostgreSQL and Elasticsearch, plus REST/GraphQL APIs, OAuth and scoped credential handling.
- Process re-engineering experience: rebuilding a manual or fragmented workflow around what agentic automation makes possible, working directly with the people who perform it today.
Preferred qualifications
- Experience building MCP servers or agent tooling, and working knowledge of agentic orchestration frameworks beyond LangGraph, with judgment on when to use them versus build custom.
- LLMOps in production and security-domain AI experience (application security, DevSecOps, vulnerability management, software supply-chain security).
Benefits and support
- Compensation and benefits are detailed in the job posting
About Dell Technologies
Dell Technologies is a multinational technology company that develops, sells, repairs, and supports computers and related products and services. The company provides foundational infrastructure for enterprises, ranging from personal computers and servers to cutting-edge AI factories and cloud data solutions.
- Industry
- Hardware
- Company size
- 10001+ employees
- Founded
- 1984
- Location
- Round Rock, Texas, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Vice Chairman and Chief Operating Officer
David Kennedy
Chief Financial Officer
John Roese
Global Chief Technology Officer & Chief AI Officer
Jennifer Saavedra
Chief Human Resources Officer
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