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Cohesity

Senior AI Solution Architect

Cohesity

. Own the technical win in GAIA deals through discovery, solution design, demos, and proof of value .

Posted 10/14/2026full-timeUnited StatesSenior💰 $282,400 - $353,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and deploying Generative AI systems, including LLMs and RAG, while effectively communicating complex AI and infrastructure concepts to diverse audiences. Proven ability to lead technical workshops and collaborate with cross-functional teams to drive customer adoption and technical wins.

Highest-signal resume keywords
Solutions ArchitectureGenerative AI Systems DesignInfrastructure Background in Enterprise StorageTechnical Co-Sell ExperienceProfessional English Language Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Generative AIRAGLLMsPythonAPIsKubernetesOpenShiftAWSAzureGCP
Soft Skills
CommunicationCollaborationProblem-Solving
Tools & Technologies
CohesityLangChainLlamaIndexBackup/Recovery PlatformsHybrid-Cloud Architectures
Industry Keywords
Data ArchitectureRegulated IndustriesSecurity FrameworksGovernanceCompliance

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformKubernetesOpenShiftPython

About the role

Key responsibilities & impact
  • Own the technical win in GAIA deals through discovery, solution design, demos, and proof of value
  • Serve as the AI subject-matter expert on data architecture, RAG, deployment models, and risk
  • Design and deliver enterprise-grade AI/GenAI solutions integrated with Cohesity’s data security and management platform
  • Architect RAG solutions and build reference architectures, solution accelerators, and demos
  • Lead technical workshops, POCs, and pilots for AI use cases in regulated industries and turn proof points into multi-phase plans
  • Build account-specific technical narratives, solution briefs, architecture diagrams, and business cases
  • Work with NVIDIA, hyperscalers, and infrastructure OEMs on joint solutions, technical co-sell, and reference architectures
  • Partner with Product and Engineering to feed field learnings into the roadmap and customer adoption
  • Support technical qualification, POC exit criteria, deal hygiene, and forecast reliability
  • Collaborate with Specialist Account Executives, account teams, and AI partners
  • Travel across North America for customer meetings, workshops, and POCs, with periodic travel to Santa Clara HQ and company events
  • Measure outcomes through technical win rate, influenced revenue and pipeline progression, reusable assets, services and multi-phase attach, field collaboration, partner co-sell, and qualification/forecast quality

Requirements

What you’ll need
  • 7+ years in solutions architecture, sales/pre-sales engineering, or technical consulting, including enterprise sales support in a specialist or overlay capacity
  • Hands-on experience designing and deploying generative AI systems, including LLMs, embeddings, RAG, vector stores, and orchestration frameworks such as LangChain/LlamaIndex
  • Strong infrastructure background in enterprise storage (NAS/SAN/Object), backup/recovery platforms, and hybrid-cloud architectures
  • Familiarity with Kubernetes/OpenShift and AWS, Azure, or GCP for deploying AI workloads
  • Proficiency in Python and APIs for automation, integration, and ML workflows
  • Working knowledge of security, governance, and compliance frameworks and their intersection with AI and data protection
  • Ability to communicate complex AI and infrastructure concepts to technical and executive audiences and hold a buying committee
  • Experience operating in a co-sell/specialist model
  • Bachelor’s degree in a technical field, or equivalent practical experience
  • Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making
  • Professional English language proficiency for customer and internal communication
  • Preferred: specialist or overlay SE experience at a data infrastructure, cloud, or AI platform vendor
  • Preferred: experience validating AI use cases in regulated industries
  • Preferred: technical co-sell experience with NVIDIA, AWS, Azure, or GCP field and solutions teams
  • Preferred: existing technical relationships with data/AI architecture leaders at Fortune 500 or high-growth East Coast enterprises

Benefits

Comp & perks
  • Health and wellness benefits
  • Vacation
  • Paid holidays and refresh days
  • 401(k) retirement plan
  • Life and disability insurance coverages
  • Bonus compensation may be available
  • Commission may be available for sales functions
  • Equity grants may be available