Verified Job
Work from home
Senior AI Solution Architect
Work from home
#669794
Remote / WFH
Job Description
Overview
This exciting opportunity is full-time with Pellera. The Senior or Principal AI Solution Architect serves as a dual technical and strategic lead, orchestrating the design of scalable AI and HPC platform architectures. Bridging the gap between executive vision and technical delivery, this role ensures that production-ready AI solutions align with complex customer requirements. As a trusted advisor, you will influence the entire lifecycle—from pre-sales and partner strategy to final implementation—while maintaining high visibility across sales, architecture, and managed services teams.
Key Responsibilities
Architecture Leadership & Strategy
Own and evolve reference architectures and blueprints for AI and HPC platforms, spanning compute and GPU acceleration, networking, storage, orchestration, security, and operations
Translate business objectives and AI use cases into scalable, secure, and supportable architectures
Frame executive-level trade-offs for large initiatives, such as performance versus cost, portability versus optimization, and build versus buy
Establish architecture quality gates, design review checklists, and risk-mitigation guidelines for complex engagements
Serve as the escalation point for architectural decisions and program risks, bringing structure and clarity to ambiguous situations
Provide structured feedback that influences partner roadmaps and internal service offerings
Help shape joint go-to-market strategies with ecosystem partners
Partner closely with delivery leadership to ensure architectures are deployable at scale
Lead internal enablement sessions for sales, architects, and delivery teams
Represent the organization in executive briefings, advisory boards, and technical events
AI Platform & Solution Design
Design end-to-end AI platforms supporting model training, inference, MLOps, and lifecycle management
Guide infrastructure choices, including GPU platforms, networking fabrics, storage architectures, and orchestration layers
Ensure designs address performance, scalability, security, compliance, operational readiness, and cost management
Support proofs of concept, pilots, and large-scale production designs from an architectural leadership perspective
Required Skills and Experience
Must-Have
Broad, hands-on expertise across AI and HPC infrastructure, demonstrated in large and complex enterprise programs
Deep understanding of AI platforms, GPU-accelerated environments, and data-intensive architectures
Proven ability to influence cross-functional teams and partner strategies through architectural leadership
Exceptional executive communication skills, with the ability to set technical direction and drive consensus
Preferred / Nice-to-Have
Experience defining or refining AI and HPC service offerings, including assessments, design, implementation readiness, or managed services
Familiarity with governance and compliance considerations for AI workloads, including data protection, model risk, and observability
Pellera provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, ****** orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
This exciting opportunity is full-time with Pellera. The Senior or Principal AI Solution Architect serves as a dual technical and strategic lead, orchestrating the design of scalable AI and HPC platform architectures. Bridging the gap between executive vision and technical delivery, this role ensures that production-ready AI solutions align with complex customer requirements. As a trusted advisor, you will influence the entire lifecycle—from pre-sales and partner strategy to final implementation—while maintaining high visibility across sales, architecture, and managed services teams.
Key Responsibilities
Architecture Leadership & Strategy
Own and evolve reference architectures and blueprints for AI and HPC platforms, spanning compute and GPU acceleration, networking, storage, orchestration, security, and operations
Translate business objectives and AI use cases into scalable, secure, and supportable architectures
Frame executive-level trade-offs for large initiatives, such as performance versus cost, portability versus optimization, and build versus buy
Establish architecture quality gates, design review checklists, and risk-mitigation guidelines for complex engagements
Serve as the escalation point for architectural decisions and program risks, bringing structure and clarity to ambiguous situations
Provide structured feedback that influences partner roadmaps and internal service offerings
Help shape joint go-to-market strategies with ecosystem partners
Partner closely with delivery leadership to ensure architectures are deployable at scale
Lead internal enablement sessions for sales, architects, and delivery teams
Represent the organization in executive briefings, advisory boards, and technical events
AI Platform & Solution Design
Design end-to-end AI platforms supporting model training, inference, MLOps, and lifecycle management
Guide infrastructure choices, including GPU platforms, networking fabrics, storage architectures, and orchestration layers
Ensure designs address performance, scalability, security, compliance, operational readiness, and cost management
Support proofs of concept, pilots, and large-scale production designs from an architectural leadership perspective
Required Skills and Experience
Must-Have
Broad, hands-on expertise across AI and HPC infrastructure, demonstrated in large and complex enterprise programs
Deep understanding of AI platforms, GPU-accelerated environments, and data-intensive architectures
Proven ability to influence cross-functional teams and partner strategies through architectural leadership
Exceptional executive communication skills, with the ability to set technical direction and drive consensus
Preferred / Nice-to-Have
Experience defining or refining AI and HPC service offerings, including assessments, design, implementation readiness, or managed services
Familiarity with governance and compliance considerations for AI workloads, including data protection, model risk, and observability
Pellera provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, ****** orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
