AI Architect

Job Summary

About the role

At Rubrik IT we are transforming how the enterprise thinks and operates - building a &34thinking enterprise&34 where intelligent agentic systems reason across our data tools and workflows to drive speed quality and measurable business impact. As an AI Architect you will be a pivotal technical leader driving AI Native solutions that make this vision real. You will operate where AI innovation top-tier engineering and business outcomes converge acting as the technical bridge between complex business problems and cutting-edge AI execution. Leveraging our robust Enterprise AI Platform you will translate ambiguous problems into concrete AI solution designs and ensure their successful deployment and measurable impact. This role is designed for systems-thinkers and orchestrators with an AI-first mindset - leaders who move fluidly between hands-on building AI solutions and who know how to harness model APIs data sources and workflow layers to build practical technology that serves the business.

What you&39ll do

Lead applied AI solution design and architecture breaking down ambiguous business problems into concrete actionable AI solution designs.

Contribute to the detailed design of large-scale distributed AIML systems ensuring performance reliability and security.

Design and improve retrieval prompting tool-calling and orchestration patterns for internal use cases such as knowledge assistants workflow automation and decision support.

Champion and enforce design standards patterns and best practices for scalable and secure development of AI applications across teams.

Drive the hands-on development and implementation of key AI components supporting both traditional and Generative AI model development and deployment.

Build and deploy AI-enabled internal workflows that connect enterprise systems data sources model APIs and automation layers.

Leverage AI-assisted development to accelerate implementation bringing a strong &39editor&39 mindset to ruthlessly audit review and secure AI-generated code against our standards for reliability security observability and documentation.

Lead the implementation and continuous improvement of MLOps pipelines including automated model training versioning deployment and monitoring.

Develop and maintain evaluation approaches for output quality retrieval accuracy latency and failure modes and use findings to improve system performance over time.

Help identify where human review controls and escalation paths are required to support responsible deployment of AI-enabled systems.

Apply sound engineering judgment to balance speed usability risk and maintainability in production and near-production environments.

Proactively collaborate with executive leadership data science engineering and product stakeholders to translate business use-cases into scalable AI solutions.

Lead rigorous problem formulation by partnering with R&D Security Data HR Finance and business stakeholders - ensuring we apply AI to the right problems before translating needs into scalable technical solutions.

Provide technical leadership and mentorship to other AIML engineers fostering a culture of engineering excellence and hands-on experimentation.

Contribute reusable components playbooks and patterns that reduce duplicate effort and improve speed across the engineering environment.

Technical architecture and AI implementations directly to measurable business outcomes recognizing that technology serves the business.

Actively research and evaluate cutting-edge AIML techniques algorithms and models to identify opportunities for platform enhancement and new solution development.

Experience you&39ll need

10&43 years of core SoftwareSystems Engineering architecture experience including 4&43 years dedicated to building and deploying applied AIML systems in production.

Bachelors degree in Computer Science Engineering or a related field MastersPh.D. is a plus.

Direct hands-on experience with Generative AI technologies including LLMs Retrieval-Augmented Generation RAG context graphs memory management and agentic AI architectures.

Strong programming skills in Python Java or Go. Deep proficiency with GenAI orchestration frameworks e.g. LangGraph LlamaIndex AutoGen Semantic Kernel and a working knowledge of traditional ML frameworks e.g. PyTorch TensorFlow.

Extensive hands-on experience with the modern AI data ecosystem including Vector Databases e.g. Pinecone Weaviate and Graph Databases e.g. Neo4j.

Experience with distributed systems architecture event-driven streaming platforms and cloud AIML platforms e.g. GCP Vertex AI AWS SageMaker Azure OpenAI.

Strong ability to work across data model application and infrastructure layers operating effectively with incomplete information and ambiguous problems.

Experience integrating applications data sources or internal platforms through APIs services event-driven patterns or workflow tools.

Deep understanding of security principles as they apply to AI systems e.g. prompt injection data exfiltration RBAC. Experience in enterprise-scale environments with meaningful privacy or compliance constraints.

Experience with telemetry tracing and production monitoring for AI systems e.g. LangSmith Phoenix Datadog.

Experience contributing to open-source AI projects publications or active participation in the AI engineering community.

Evidence of applied AI building - GitHub contributions technical writing demos or open-source work demonstrating curiosity for emerging AI tooling.

Prior experience in a solutions architecture successfully bridging technical teams and senior business stakeholders.

The minimum and maximum base salaries for this role are posted below additionally the role is eligible for bonus potential equity and benefits. The range displayed reflects the minimum and maximum target for new hire salaries for the role based on U.S. location. Within the range the salary offered will be determined by work location and additional factors including job-related skills experience and relevant education or training.

US Pay Range 254300-356300 USD

Join Us in Securing and Accelerating the World&39s AI Transformation

Rubrik RBRK the Security and AI Operations Company leads at the intersection of data protection cyber resilience and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing monitoring and recovering data identities and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions enforcing real-time guardrails fine-tuning for accuracy and undoing agentic mistakes.

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Inclusion &64 Rubrik

At Rubrik we are dedicated to fostering a culture where people from all backgrounds are valued feel they belong and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the worlds data. Our goal is to hire and promote the best talent regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential.

Our inclusion strategy focuses on three core areas of our business and culture

Our Company We are committed to building a merit-based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here.

Our Culture We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging can thrive and do their best work. Your contributions help us innovate and break boundaries.

Our Communities We are dedicated to expanding our engagement with the communities we operate in creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Rubrik contributing to safer and stronger communities.

Equal Opportunity EmployerVeteransDisabled

Rubrik is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin or protected veteran status and will not be discriminated against on the basis of disability. Rubrik provides equal employment opportunities EEO to all employees and applicants for employment without regard to race color religion sex national origin age