Senior AI Architect

We are seeking a highly skilled and experienced
** Senior AI Architect
** to define and drive the architecture, design, and technical strategy for AI-enabled product platforms. This role will play a critical part in shaping our AI vision-embedding intelligence across applications, platforms, and workflows-while ensuring scalability, security, and maintainability.

The ideal candidate brings deep expertise in
** AI-driven application development
** and
** must have strong, hands-on experience architecting and operating solutions on AWS** , including cloud-native and AI workloads. This individual will partner closely with product and engineering leaders to translate business problems into scalable, AI-powered solutions that deliver real customer value.

** In this role you will...*
* ** AI & Architectural Leadership*
* + Define and own the
** AI and cloud architecture
** for product ecosystems, ensuring scalability, performance, security, and responsible AI usage.

+ Establish best practices for
** AI system design on AWS** , including model hosting, inference patterns, data pipelines, and governance.

+ Lead architectural reviews for AI-driven systems, cloud platforms, integrations, and modernization initiatives.

+ Drive architectural decisions around
** build vs. buy
** for AI capabilities, including AWS-native AI services.

** AI-Driven Product Development*
* + Collaborate with Product Managers and UX teams to translate business needs into
** AI-enabled product capabilities
** and AWS-based technical blueprints.

+ Design architectures that support
** AI-first user experiences** , intelligent automation, personalization, and decision support.

+ Ensure platforms support rapid experimentation, model iteration, and continuous delivery of AI features in AWS environments.

+ Balance near-term delivery with a long-term
** AI and cloud platform strategy** .

** Technical & AI Expertise*
* + Provide hands-on architectural guidance for building
** AI-powered full-stack applications
** using Python, Java, React, and modern AI frameworks.

+ Design and integrate
** LLM-based services, ML models, and intelligent agents
** into production systems.

+ Architect
** API-first and event-driven systems
** exposing AI capabilities via REST and Graph

QL.

+  
** Must have deep experience with AWS** , including EC2, S3, RDS, Lambda, EKS, and AWS-native AI/ML services (e.g., Bedrock, Sage Maker).

+ Architect scalable, cost-optimized
** cloud-native AI inference and data processing workloads
** on AWS.

+ Drive decisions on
** data architectures** , including SQL, No

SQL, vector databases, caching, and messaging.

+ Integrate
** MLOps and Dev Ops practices** , including CI/CD for models, monitoring, observability, and Infrastructure as Code (Terraform / CDK).

** You have what it takes if you have...*
* ** AI & Technical Expertise (Must Have)*
* +  
** 5+ years strong, hands-on experience architecting and delivering AI-powered applications on AWS (mandatory).*
* + 10+ years in software development

+ Advanced proficiency in
** Python
* * for AI/ML and backend systems; solid experience with Java and React.

+ Experience integrating AI capabilities through
** API-first architectures** (REST and Graph

QL).

+ Deep understanding of
** cloud-native AI architectures on AWS** , including Kubernetes (EKS)-based deployments.

+

Experience with
** data pipelines, feature engineering, vector search, and inference patterns
** at scale.

+ Strong knowledge of
** Dev Ops and MLOps** , CI/CD, containerization (Docker, Kubernetes), and infrastructure automation on AWS.

** Architectural & Product Skills*
* + Proven track record of defining and delivering
** enterprise-scale, AI-enabled architectures
** in a product-driven organization.

+ Ability to bridge business problems with
** AI and AWS architecture** , influencing product roadmaps and investment decisions.

+ Strong understanding of agile development and iterative delivery for AI systems.

** Leadership & Communication*
* + Excellent communication skills to articulate
** AI and AWS architecture
** to both technical and non-technical stakeholders.

+ Ability to mentor and influence teams without direct authority.

+ Strong problem-solving mindset, focused on delivering
** measurable business value through AI** .

Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at