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# Sr. AI Solution Architect

- **Company:** Cohesity, Inc.
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $282,400.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Backup Devices, Data Architecture, Data Infrastructure, Data Security, Software Debugging, Python (Programming Language), OpenShift, Unstructured Data, Google Cloud, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, IT Architecture, Llamaindex, HybridCloud, AI Platforms, Kubernetes, Data Management, Machine Learning Operations
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_0603b27cd436639fff60d83329e46794

## About the Role

* 7+ years in solutions architecture, sales/pre-sales engineering, or technical consulting, including time supporting enterprise sales in a specialist or overlay capacity.
 * Hands-on experience designing and deploying generative AI systems - LLMs, embeddings, RAG, vector stores, and orchestration frameworks (e.g.,LangChain/LlamaIndex).
 * Strong infrastructure background: enterprise storage (NAS/SAN/Object), backup/recovery platforms, and hybrid-cloud architectures - you understand what it takes to get a platform decision made.
 * Familiarity with Kubernetes/OpenShift and cloud environments (AWS, Azure, GCP) for deploying AI workloads.
 * Proficiencyin Python and APIs for automation, integration, and ML workflows - enough to build a credible demo and debug a POC.
 * Working knowledge of security, governance, and compliance frameworks and how they intersect with AI and data protection.
 * Excellent communication skills - able to simplify complex AI + infrastructure concepts for both technical and executive audiences, and to hold a buying committee.
 * Comfortoperatingin a co-sell / specialist model - you drive the AI technicalmotion,the AE owns the commercial relationship, and you make that partnership work.
 * Bachelor's degree in a technical field, or equivalent practical experience.
 * Demonstrated ability toleverageAI tools to enhance productivity, streamline workflows, and support decision making.
 * Professional English languageproficiencyfor customer and internal communication.

## Description

* Own the technical win in every GAIA deal you support- discovery, solution design, demos, and proof of value - partnered with the Specialist AE who owns the commercial close.
 * Be the AI subject-matter expert in the roomon data architecture, RAG, deployment models, and where the risk sits - credible enough to hold a technical conversation with a CAIO, CDO, VP of AI, or their architects.
 * Design and deliver enterprise-grade AI/GenAI solutionsintegrated with Cohesity's data security and management platform,leveragingour unique access to enterprise backup, archive, and unstructured data.
 * Architect retrieval-augmented generation (RAG) solutionsand build reference architectures, solution accelerators, and demos that connect Cohesity's core strengths with emerging AI capabilities.
 * Lead technical workshops, POCs, and pilotsthatvalidateAI use cases across regulated industries (financial services, healthcare, public sector, legal) and turn a first proof point into a multi-phase plan.
 * Build executive-quality technical narratives- solution briefs, architecture diagrams, and business cases specific to the account, not a template with a logo swapped in.
 * Workthe AI partner ecosystem- NVIDIA, thehyperscalers, and infrastructure OEMs - on joint solutions, technical co-sell, and reference architectures that accelerate deals.
 * Feed the field back into the roadmap- partner with Product and Engineering so what you learn in deals shapes what we build and how customers adopt it.
 * Support disciplined deal hygiene-accuratetechnical qualification, honest POC exit criteria, and forecasts the AE and the business can plan against., * Prior specialist or overlay SE experience at a data infrastructure, cloud, or AI platform vendor.
 * ExperiencevalidatingAI use cases in regulated industries (financial services, healthcare, public sector, legal).
 * Comfortworkinga technical co-sell motion with NVIDIA, AWS, Azure, or GCP field and solutions teams.
 * Existing technical relationships with data/AI architecture leaders at Fortune 500 or high-growth East Coast enterprises., * Field-based, East Coast; regular travel across North America for customer meetings, workshops, and POCs, plus periodic travel to Santa Clara HQ and company events.