About Marvell

Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.

At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.

Your Team, Your Impact

Marvell Enterprise AI group works at the center of the company’s innovation engine, powering the silicon that powers the world. We partner with engineering and business leaders to solve complex problems, scale securely, and turn bold ideas into products that matter.

At Marvell, we are moving from AI experimentation to enterprise-scale, agentic
solutions that deliver measurable business impact. This next phase requires more than models or platforms - it requires production-grade AI applications that are accurate, governed, observable, and continuously improving through real-world usage.

What You Can Expect

The Director of Agentic AI Solutions Engineering will lead the design,
development, and operation of enterprise agentic applications that power
intelligent workflows, decision support, and automation across the company. This role owns the end-to-end lifecycle of agentic solutions - from architecture and build, through deployment and continuous improvement -while leveraging
shared evaluation, observability, and governance services provided by the
enterprise AI platform.

This is a hands-on leadership role. You will architect solutions, guide
implementation, and build a team that delivers AI applications designed from
day one for automation, continuous evaluation, and minimal manual oversight.
Success is measured by solutions in production that operate reliably at scale,
maintain accuracy over time, and deliver clear business ROI.
Key Responsibilities

Agentic Solution Architecture & Delivery

• Architect and deliver scalable, reusable agentic AI applications aligned with enterprise AI platform standards.
• Design agent workflows leveraging MCP, orchestration frameworks, and shared platform services.
• Ensure solutions are built for reuse, extensibility, and long-term operability -not one-off pilots.
• Partner closely with AI Platform Engineering to consume standardized services for evaluation, observability, and governance.
• Stay hands-on with solution design reviews, implementation guidance, and critical technical decisions.

Evaluation-by-Design & Quality Enablement

• Design agentic solutions to natively integrate with enterprise evaluation framework services, rather than building custom evaluation systems.
• Ensure continuous evaluation is embedded into solution workflows, including pre-release validation and post-deployment monitoring.
• Use evaluation signals to drive automated gating, iteration, and improvement of agent behavior.
• Minimize manual review by leveraging automated evaluation, confidence scoring, and exception-based human oversight.
• Partner with Governance & Assurance to ensure solutions meet required accuracy and compliance thresholds using standardized evaluation services.

Automation-First Observability & Operations

• Design solutions to fully leverage AI-powered observability and operations services provided by the platform.
• Embed automated monitoring, anomaly detection, and remediation into agentic applications wherever possible.
• Reduce reliance on manual operational processes by using agents to manage validation, diagnostics, and routine operational tasks.
• Ensure solutions are production-ready with clear ownership for availability, performance, and cost efficiency.
• Partner with Platform and IT teams for runtime operations while retaining solution-level accountability.

Business Partnership & Human-in-the-Loop Design

• Partner directly with business owners to translate problems into well-scoped agentic solutions.
• Intentionally design human-in-the-loop workflows only where required, based on risk, accuracy, or governance needs.
• Continuously refine solutions using business feedback, evaluation data, and operational insights.
• Ensure solutions balance autonomy, trust, and business control.

Metrics, ROI & Continuous Improvement

• Define and track solution-level metrics using standardized platform telemetry, including adoption, accuracy, cost, and business impact.
• Use metrics to prioritize enhancements, automation opportunities, and scale decisions.
• Provide executive-ready reporting on solution performance and ROI.
• Drive continuous improvement cycles based on real-world usage and measurable outcomes.

Tool Evaluation & Transition to IT

• Lead hands-on evaluation of new tools or capabilities needed for agentic solution delivery.
• Build reference implementations that demonstrate integration with platform services and enterprise standards.
• Transition operational ownership to IT or Platform teams once solutions reach steady-state maturity.
• Ensure clean handoff with documentation, automation, and support readiness.

Organization Building & Technical Leadership

• Build, lead, and scale the Agentic Solutions Engineering team, maintaining a lean FTE core supplemented by contractors.
• Establish clear engineering standards for agentic application development integration, and operation.
• Stay close to implementation to ensure quality, automation, and architectural consistency.
• Act as a senior technical partner across Platform, Governance, Enablement, and IT teams.

What We're Looking For

Preferred Experience

• 12–18+ years in platform operations, DevOps, SRE, or AI/ML Ops roles.
• Proven experience owning both architecture and delivery of enterprise-scale platforms.
• Track record of building teams that ship and operate complex systems.
• Strong understanding of GenAI operational challenges (cost, latency, evaluation, governance).
• Experience influencing architecture without needing to be the primary coder.
• Ability to operate effectively in global, matrixed enterprise environments.

Technology Stack & Tooling

• Agentic & AI Platforms: Enterprise Agentic Platforms, MCP-based architectures, orchestration frameworks
• Evaluation & Governance (Consumed Services): Enterprise evaluation frameworks, accuracy scoring, audit services
• Observability & Ops: AI-driven monitoring, tracing, cost tracking, automated remediation
• Cloud & Infrastructure: AWS, Kubernetes, containerized services
• Integration & Delivery: APIs, workflow automation, CI/CD for AI applications

Mindset & Attributes

• Automation-first thinker who designs systems to operate themselves.
• Strong ownership mindset from design through sustained production.
• Pragmatic, quality-driven, and focused on business outcomes.
• Comfortable leveraging shared services rather than reinventing platforms.
• Builder of scalable systems and high-performing teams.

Additional Compensation and Benefit Elements

With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it’s like to work at Marvell, visit our Careers page.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Interview Integrity

To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.

These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

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