AI Solution Engineer, Security
Dell Technologies8 hours ago
Responsibilities
- Own solution design for AI-native security workflows from problem statement through buildable specification.
- Determine whether security work should use agents, deterministic automation, or remain unchanged, and document the rationale.
- Consolidate overlapping security processes with functional owners and practitioners into unified processes, data models, and evidence models.
- Define agent authority boundaries, scoped credentials, human approvals, technical controls, and audit trails.
- Threat-model agentic systems against prompt injection, tool abuse, untrusted context content, and data exfiltration.
- Baseline cycle time, manual touch points, and rework, then define measurable improvement targets and retired processes.
- Design verification, failure containment, rollback, escalation, evidence, and traceability mechanisms.
- Integrate agentic workflows with security tooling, systems of record, identity and access systems, data platforms, and collaboration surfaces through APIs, event streams, and MCP.
- Establish reusable reference architectures, agent primitives, orchestration and context patterns, evaluation harnesses, and integration templates.
- Lead cross-functional process consolidation and influence engineers, practitioners, and executives without direct authority.
Requirements
- 12+ years of experience in software engineering, security engineering, or platform architecture, with production delivery experience.
- Production delivery and ongoing operation of AI and agentic systems with measurable operational or business impact.
- Deep hands-on experience with agent loops, planner and executor patterns, sub-agent delegation, tool and function calling, state management, checkpointing, resumability, and idempotency.
- Experience with context engineering, retrieval and search, memory architecture, enterprise-data grounding, context compaction, tool and schema design, and structured outputs.
- Experience designing boundaries between model reasoning and deterministic logic, plus evaluation engineering using golden sets, offline and online evaluation, regression suites, and acceptance thresholds.
- Knowledge of production economics including token budgeting, prompt and response caching, model selection and routing, fallback behavior, latency, and cost targets.
- Experience designing agent authorization and identity systems using non-human identities, scoped least-privilege credentials, delegation, approvals, and audit trails.
- Strong programming proficiency in Python, TypeScript/JavaScript, Go, or a similar language; the role includes prototyping and reviewing code.
- Experience with distributed systems and integration engineering, including APIs, event-driven design, schema and contract versioning, retry and backpressure behavior, and trace-level observability.
- Experience modeling data across systems of record, including entity resolution and reconciliation of overlapping asset, finding, or owner representations.
- Demonstrated experience consolidating cross-functional processes and landing designs adopted by teams with conflicting requirements and existing tooling.
- Working knowledge of security engineering in application security, vulnerability management, threat modeling, secure SDLC, or an equivalent domain.
- Strong senior-level communication and influence without authority.
- Bachelor’s or master’s degree in computer science or a related field, or equivalent practical experience.
- Preferred: experience applying agentic AI to application security, DevSecOps, vulnerability management, threat modeling, or software supply-chain security.
- Preferred: experience building MCP servers, agent skills and tools, or extending Claude Code, GitHub Copilot, or Cursor.
- Preferred: familiarity with secure-by-design and secure-by-default principles, OWASP Top 10 for LLM Applications, NIST SSDF, and NIST AI RMF.
- Preferred: production LLMOps experience including versioning, staged rollout, regression detection, behavioral drift monitoring, and audit-defensible automation.
- Preferred: prior Principal-level or above individual contributor experience with organization-wide design authority.
Tech Stack
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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.