Agentic Context Engineering Architect & AI Practitioner
Dell Technologies2 days ago
Base Salary
$233k - $320k/yr
Responsibilities
- Design, implement, and operate an enterprise AI Harness for secure, scalable, and governable AI-assisted software development.
- Develop context-engineering frameworks covering information acquisition, interpretation, retrieval, composition, and lifecycle management.
- Architect context-management services for knowledge ingestion, context assembly, retrieval, metadata, and governance.
- Design agent-memory frameworks spanning short-term, long-term, session-based, and persistent memory.
- Build shared services, reusable frameworks, developer tooling, and platform integrations for consistent agent adoption.
- Partner with security, cybersecurity, architecture, product, and infrastructure teams on enterprise security and compliance.
- Optimize relevance scoring, retrieval quality, context-window efficiency, token usage, and knowledge effectiveness.
- Define standards for knowledge structures, metadata, content organization, accessibility, and information quality.
- Drive observability, evaluation, performance measurement, reliability, experimentation, and continuous improvement across the AI harness ecosystem.
Requirements
- 12+ years of experience in software engineering, platform engineering, distributed systems, or related technical leadership roles.
- Hands-on experience with AI-assisted development, LLMs, agentic systems, RAG architectures, vector databases, knowledge systems, and enterprise AI platforms.
- Deep knowledge of context construction, retrieval strategies, context composition, context lifecycle management, and prompt orchestration.
- Experience building platforms, frameworks, or services for knowledge retrieval, agent memory, context assembly, or AI workflow orchestration at scale.
- Strong understanding of embeddings, vector search, retrieval pipelines, memory architectures, agent orchestration, and tool integration patterns.
- Ability to define architectures and frameworks and deliver practical solutions for ambiguous problems.
- Experience collaborating with engineering, architecture, product, security, and infrastructure stakeholders.
- Strong written and verbal communication skills for translating complex AI concepts into technical guidance.
- Preferred experience with GitHub Copilot, Claude Code, Cursor, Windsurf/Codeium, OpenAI, Anthropic, or equivalent tools.
- Preferred experience with context-engineering frameworks, retrieval systems, knowledge graphs, semantic search, vector databases, memory-centric agent architectures, MCP, multi-agent systems, workflow orchestration, evaluation frameworks, and enterprise AI governance.
- Preferred background in developer experience, platform engineering, internal developer tooling, enterprise AI enablement, or large enterprise environments with compliance and security controls.
Benefits
- Dell provides a benefits program covering health and other employee benefits, with details available through MyWellatDell.com.
- The position is based in Hopkinton, Massachusetts; no remote or hybrid arrangement is specified.
Categories
About Dell Technologies
Dell Technologies builds PCs, monitors, and peripherals for consumers and enterprises, and provides servers, storage, networking, and edge solutions for data centers. It sells hardware, software, and support services through direct, channel, and online models to organizations of all sizes and the public sector. Founded in 1984 and headquartered in Round Rock, Texas, it includes the former EMC storage business and operates globally across client computing and infrastructure markets.