Director, Applied AI and Operations

Role overview

Director, Applied AI and Operations at Marvell

Employment details

• Location: Bangalore [India]

About the employer

• 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's 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, Applied AI and Operations 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 the shared evaluation, observability, and governance services provided by our 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 and continuous evaluation.
• Success is measured by solutions in production that operate reliably at scale, maintain accuracy over time, and deliver clear business ROI.
• In your first year, success looks like a set of production agentic solutions delivering measurable ROI and operating reliably with minimal manual oversight.
• Lead architecture and delivery of scalable, reusable agentic AI solutions aligned with enterprise AI platforms.
• Design agent workflows using Model Context Protocol (MCP), orchestration frameworks, and shared platform services - built for reuse, not pilots.
• Embed evaluation-by-design, leveraging standardized enterprise evaluation, governance, and observability services.
• Drive automation-first operations, including AI-powered monitoring, anomaly detection, and remediation.
• Partner with business leaders to translate problems into well-scoped agentic solutions, using human-in-the-loop only where risk or governance requires.
• Define and track solution-level metrics (adoption, accuracy, cost, business impact) and provide executive-ready ROI reporting.
• Lead hands-on tool evaluation and build reference implementations aligned to enterprise standards.
• Transition mature solutions to IT/Platform teams with clean operational handoff and accountability.
• Build and scale a lean Agentic Solutions Engineering team, setting strong engineering and quality standards.
• Act as a senior technical partner across AI Platform, Governance, Enablement, and IT teams.
• What We're Looking For
• 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.
• Bachelor's or Master's in Computer Science, Engineering, or a related field, or equivalent experience.
• 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
• 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.
• This role is eligible to participate in Marvell's bonus and equity plans, including a new hire equity grant and annual equity refreshers, ensuring you are rewarded for your contributions and remain invested in the company's long-term success.

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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