Applied AI Specialist

Remotedxb; Dubai; On-site; AED 250,000 - 450,000; Full time

Job summary

Cloudera in Dubai seeks an experienced AI Solutions Architect to lead AI Discovery Workshops with ecosystem partners like NVIDIA, scope high-value AI use cases for production deployment, and evaluate enterprise AI readiness including data architecture, governance, and security.

You will develop technical assets such as proofs of concept, reference architectures, and demonstrations, define engineering blueprints and handoff criteria for FDE teams, and capture best practices and architectural

Qualifications

• Solid technical foundation in data science and coding with notebooks/APIs.
• Hands-on experience in machine learning, deep learning, CV, and generative AI.
• Proven success in technical pre-sales, solution architecture, or customer engineering.

Responsibilities

• Lead AI Discovery Workshops with ecosystem providers like NVIDIA.
• Identify high-value AI use cases for production deployment.
• Assess enterprise AI readiness including data architecture, governance, and security.
• Develop technical assets such as proofs of concept, reference architectures, and demonstrations.
• Define engineering blueprints and handoff requirements to FDE teams.
• Capture and scale best practices and architectural patterns.

Skills

AI discovery

Pre-sales

Technical communication

Tools

APIs

Cloud-native architectures

MLOps

Data pipelines

Job description

Responsibilities

• Lead AI Discovery Workshops in partnership with ecosystem providers like NVIDIA
• Discover and scope high-value AI use cases for production deployment
• Evaluate enterprise AI readiness including data architecture, governance, and security
• Develop technical assets such as proofs of concept, reference architectures, and demonstrations
• Define engineering blueprints and technical requirements for handoff to FDE teams
• Capture and scale best practices and architectural patterns

Requirements

• Strong technical foundation in data science and working with code, APIs, and notebooks
• Practical experience with machine learning, deep learning, computer vision, and generative AI
• Proven success in technical pre-sales, solution architecture, or customer engineering
• Ability to assess data quality, governance, and infrastructure constraints
• Exceptional communication skills for technical and executive audiences
• Proficiency in Python, APIs, cloud-native architectures, data pipelines, and MLOps

Preferred Qualifications

• Experience with NVIDIA AI Enterprise, NIMs, NeMo, or RAPIDs
• Experience delivering customer-facing workshops or architecture engagements
• Experience moving AI projects from proof of concept to production
• Familiarity with enterprise data platforms and hybrid cloud architectures

About the Company

Cloudera empowers people to transform complex data into clear and actionable insights. As a preferred data partner for the world's largest enterprises, Cloudera advances digital transformation through innovation in the open source community.