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AI Solution Architect

Cohesity

Cohesity

Software Engineering, Data Science, IT
Bengaluru, Karnataka, India
Posted on Sep 10, 2025

Cohesity is the leader in AI-powered data security. Over 13,600 enterprise customers, including over 85 of the Fortune 100 and nearly 70% of the Global 500, rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas’ enterprise data protection business, the company’s solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe.

We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design , and
our culture.

Want to join the leader in AI-powered data security?

At Cohesity, we are shaping the future of enterprise data protection and management with AI-driven innovation. Our AI Solutions team partners with marquee customers to design and validate cutting-edge solutions powered by Cohesity Gaia. By combining enterprise data management with Generative AI and advanced ML, we help customers solve real-world problems while influencing the future of our products.


As an AI Solution Architect, you’ll be the key product and technology expert, bridging sales, product, engineering, and customer success. You will design, deploy, and validate Cohesity Gaia solutions—including DataProtect, SmartFiles, and AI-powered RAG workflows—helping customers accelerate AI adoption with confidence. This is a customer-facing, hybrid role requiring both technical depth and business acumen.

HOW YOU'LL SPEND YOUR TIME HERE:

Customer Solution Design & Adoption

  • Architect AI/ML solutions leveraging Cohesity Gaia, DataProtect, Kubernetes, and NVIDIA GPUs.

  • Lead POCs, accelerate adoption, and act as a trusted advisor for AI integrations across cloud, storage, and enterprise platforms.

Field & Product Collaboration

  • Partner with Sales and field teams to win complex AI-driven opportunities.

  • Provide feedback on AI use cases, SaaS plugins, and deployment patterns.

  • Validate new features as “customer zero” before general release.

Design, Testing & Validation

  • Create reference architectures combining Gaia with DataProtect and SmartFiles.

  • Benchmark LLMs, Agentic AI workflows, and SaaS adapters for enterprise readiness.

  • Ensure solutions meet compliance, resilience, and responsible AI standards.


Enablement & Evangelism

  • Train field teams, partners, and customers on AI, GPU acceleration, and LLMOps.

  • Lead workshops, roadmap presentations, and technical deep dives.

  • Publish whitepapers and best practices to establish Cohesity as an AI thought leader.

Development & Tools

  • Build lightweight scripts, plugins, and adapters to simplify integrations and POCs.

  • Document validation checklists, GPU/LLM configs, and performance benchmarks.

WE'D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING:

Technical Expertise

  • Deep knowledge of Cohesity DataProtect, SmartFiles, and SaaS-based data management.

  • Experience architecting AI/ML/GenAI solutions across hybrid and on-prem environments.

  • Hands-on expertise with NVIDIA GPUs (H100, H200, L40S, RTX 6000 Blackwell, A100), CUDA, TensorRT, and Triton.

  • Familiarity with vector databases (Milvus, Pinecone, etc) and LLMs (OpenAI, Gemini, Claude, Cohere, Llama 2, Mistral).

  • Proficiency in Kubernetes, OpenShift, MLOps pipelines, and scripting (Python, Bash, PowerShell).


Enterprise Experience

  • 10+ years in customer-facing solution roles with enterprise-grade AI or data solutions.

  • Proven success in leading POCs, integrations, and enterprise rollouts.

  • Soft Skills

  • Strong communication and presentation skills with both technical and executive stakeholders.

  • Structured, proactive, and self-driven in fast-paced environments.


Education & Travel

  • Bachelor’s or Master’s in Computer Science, Engineering, or related field.

  • Willingness to travel 10–20% for customer and field engagements.


Key Technologies

  • Data & Platforms: Cohesity DataProtect, SmartFiles, Gaia, NAS/external file services (NetApp, Isilon)

  • Infrastructure Virtualization: Kubernetes (OpenShift, VMware Tanzu, Rancher, Nutanix NKE, Amazon EKS, Azure Stack HCI)

  • AI/ML Frameworks: RAG, Agentic AI, LLMOps, NVIDIA Triton, TensorRT

  • LLMs: OpenAI GPT, Google Gemini, Anthropic Claude, Cohere, Mistral, Llama 2, Falcon, fine-tuned/custom models

  • Vector Databases: Milvus, Pinecone

  • Hardware: Deployment/administration of NVIDIA GPU nodes (L40S, A100, H100, H200, RTX 6000 Blackwell)

  • Development: Python, Bash, PowerShell – scripting for quick plugins, adapters, scrapers during POCs

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Equal Employment Opportunity Employer (EEOE)

Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 1-855-9COHESITY or
talent@cohesity.com for assistance.


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 our core offices 2-3 days a week of their choosing.

Interested candidates based outside of the designated areas are welcome to apply, provided they have the right to work in the job location.