Cohesity

AI solution architect in data security

In short

This role leads technical pre-sales for AI/GenAI solutions at Cohesity, a data security and management company, owning discovery, solution design, demos, and proof-of-value for enterprise deals alongside a Specialist Account Executive. It requires 7+ years in solutions architecture or pre-sales engineering, hands-on experience with generative AI systems (LLMs, RAG, vector stores), strong enterprise storage/backup and hybrid-cloud infrastructure background, and Python/API proficiency. The position is office-based, full-time, lead-level, with in-office expectations of 2-3 days a week for those within commuting distance.

About Cohesity
Cohesity is a leader in AI-powered data security and management. Aided by an extensive ecosystem of partners, Cohesity makes it easy to secure, protect, manage, and get value from data — across the data center, edge, and cloud. Cohesity helps organizations defend against cybersecurity threats with comprehensive data security and management capabilities, including immutable backup snapshots, AI-based threat detection, monitoring for malicious behavior, and rapid recovery at scale.
Responsibilities
•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 room on 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 solutions integrated with Cohesity's data security and management platform, leveraging unique access to enterprise backup, archive, and unstructured data.
•Architect retrieval-augmented generation (RAG) solutions and build reference architectures, solution accelerators, and demos that connect Cohesity's core strengths with emerging AI capabilities.
•Lead technical workshops, POCs, and pilots that validate AI 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.
•Work the AI partner ecosystem — NVIDIA, the hyperscalers, 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 the company builds and how customers adopt it.
•Support disciplined deal hygiene — accurate technical qualification, honest POC exit criteria, and forecasts the AE and the business can plan against.
Requirements
•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 — understanding of what it takes to get a platform decision made.
•Familiarity with Kubernetes/OpenShift and cloud environments (AWS, Azure, GCP) for deploying AI workloads.
•Proficiency in 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.
•Comfort operating in a co-sell / specialist model — you drive the AI technical motion, 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 to leverage AI tools to enhance productivity, streamline workflows, and support decision making.
•Professional English language proficiency for customer and internal communication.
Nice to have
•Prior specialist or overlay SE experience at a data infrastructure, cloud, or AI platform vendor.
•Experience validating AI use cases in regulated industries (financial services, healthcare, public sector, legal).
•Comfort working a 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.
Conditions
•Full-time employees are eligible to participate in a comprehensive benefits framework, including health and wellness benefits, vacation, paid holidays and refresh days, 401(k) retirement plan, life and disability insurance coverages, and other benefits the Company may offer from time to time.
•In-Office Expectations: Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of core offices 2-3 days a week of their choosing.

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