Dell

Agentic Context Engineering Architect & AI Practitioner

Dell$232K — $320K *
Enterprise Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years in software engineering or technical leadership roles
  • Strong hands-on experience with AI-assisted development and agentic systems
  • Deep understanding of context engineering concepts
  • Experience building large-scale platforms or frameworks for knowledge management
  • Strong grasp of AI system architecture and integration patterns
  • Ability to define architectures and deliver solutions from ambiguous problems
  • Effective cross-functional collaboration and communication skills

Responsibilities

  • Design and implement the enterprise AI Harness for scalable AI-assisted software development
  • Develop context engineering frameworks for information retrieval and utilization in software development
  • Architect context management services for AI workflows
  • Create agent memory frameworks to enhance agent accuracy and task completion
  • Build shared services and developer tooling for consistent AI behavior
  • Collaborate with security and infrastructure teams to ensure compliance and security
  • Drive strategies for context optimization and knowledge effectiveness
  • Establish best practices for knowledge structures and context accessibility

Benefits

  • Comprehensive health support
  • Employee wellness programs
  • Career development opportunities
  • Flexible work arrangements
  • Lifestyle benefits
Full Job Description
Job Description

SUMMARY

Agentic Context Engineering Architect & AI Practitioner

Join us to do the best work of your career and make a profound social impact as an Agentic Context Engineering Architect & AI Practitioner on our AI Development & Agent Ops team in Hopkinton, MA.

What you'll achieve
As an Agentic Context Engineering Architect & AI Practitioner, you will be responsible for designing, building, and operating the enterprise AI Harness and context engineering frameworks to enable secure, scalable, and governable AI-assisted software development . You will work with cross-functional engineering, architecture, product, security, and infrastructure teams on cutting-edge AI agent workflows, retrieval architectures, and developer platform integrations .

You will:
  • Design, build/code/implement, and operate the enterprise AI Harness that enables secure, scalable, and governable AI-assisted software development across engineering organizations
  • Develop and manage context engineering frameworks that optimize how agents acquire, interpret, retrieve, and utilize information throughout the software development lifecycle
  • Architect and maintain context management services, including knowledge ingestion, context assembly, retrieval mechanisms, metadata management, and lifecycle governance for AI agent workflows
  • Design and implement agent memory frameworks, including short-term, long-term, session-based, and persistent memory patterns that improve agent effectiveness, consistency, and task completion accuracy
  • Build and maintain shared services, reusable frameworks, developer tooling, and platform integrations that accelerate AI adoption and ensure consistent agent behavior across engineering teams
  • Partner closely with Product Security, Cybersecurity, Architecture, and Infrastructure teams to ensure context retrieval, memory systems, knowledge access, and agent interactions meet enterprise security and compliance requirements
  • Drive context optimization strategies including relevance scoring, retrieval quality measurement, context window efficiency, token utilization optimization, and knowledge effectiveness across AI development workflows
  • Define standards and best practices for knowledge structures, metadata, content organization, context accessibility, and information quality to maximize agent performance and trustworthiness
  • Drive engineering excellence across the AI harness ecosystem, including observability, evaluation frameworks, performance measurement, reliability, experimentation, and continuous improvement

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:

Essential Requirements
  • 12+ years in software engineering, platform engineering, distributed systems, or related technical leadership roles
  • Strong hands-on experience with AI-assisted development, LLMs, agentic systems, RAG architectures, vector databases, knowledge systems, and enterprise AI platforms
  • Deep understanding of context engineering concepts including context construction, retrieval strategies, context composition, context lifecycle management, and prompt orchestration
  • Experience building platforms, frameworks, or services that manage knowledge retrieval, agent memory, context assembly, or AI workflow orchestration at scale
  • Strong understanding of AI system architecture, including embeddings, vector search, retrieval pipelines, memory architectures, agent orchestration, and tool integration patterns
  • Demonstrated ability to take ambiguous problems, define architectures and frameworks, and deliver practical solutions and platforms
  • Experience working cross-functionally with engineering, architecture, product, security, and infrastructure stakeholders
  • Strong written and verbal communication skills with the ability to translate complex AI concepts into actionable technical guidance


Desirable Requirements
  • Direct hands-on experience with agentic development platforms and tools such as GitHub Copilot, Claude Code, Cursor, Windsurf/Codeium, OpenAI, Anthropic, or equivalent technologies
  • Experience designing or implementing context engineering frameworks, retrieval systems, knowledge graphs, semantic search, vector databases, or memory-centric agent architectures
  • Familiarity with Model Context Protocol (MCP), agent toolchains, multi-agent systems, workflow orchestration frameworks, and enterprise AI governance practices
  • Experience optimizing context utilization, retrieval quality, token consumption, latency, and agent performance at scale
  • Experience building evaluation frameworks and measurement systems for context quality, retrieval effectiveness, hallucination reduction, and agent productivity
  • Background in developer experience, platform engineering, internal developer tooling, or enterprise AI enablement platforms
  • Experience operating in large enterprise environments with compliance requirements, governance controls, security review processes, and human oversight requirements
  • Comfort operating in ambiguity, defining new technical patterns and platform capabilities where industry standards are still evolving


Compensation

Dell is committed to fair and equitable compensation practices. The salary range for this position is $ 232,800 to $ 320,100.

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 Dell

EMC2 provides critical engineering services for municipal and commercial setors. They delivers geotechnical engineering related to soil behavior and soil properties, as well as recommendations of design parameters and design of structures considering soil-structure interaction. Their services include geotechnical analysis and design, field exploration, testing and construction observation services.

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Learn more about Dell
Size
133,000 employees
Market Cap
$28.2 billion
Industry
Net Income
$3.2 billion
Founded
2012
5 Year Trend
+10.2%
Revenue
$94.2 billion
NASDAQ

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