Design and architect AI solutions across generative AI, agentic AI, traditional machine learning, MLOps/LLMOps, and AI governance frameworks
Lead end-to-end AI engagements, from understanding customer needs to defining the technical approach, contributing to proposals (RFPs), and presenting solutions clearly and convincingly
Act as a trusted AI advisor, adapting the communication level to technical and non-technical stakeholders, ensuring clarity while maintaining scientific rigor
Provide strong pre-sales support, including co-creation workshops, demos, technical validations, and defense of proposals during limited customer presentation windows
Collaborate with data scientists, engineers, architects, and account teams to ensure solution alignment and delivery feasibility
Contribute to sector-specific strategies (e.g., health, energy, finance), bringing valuable industry expertise when applicable
Requirements
Master’s degree or PhD in Data Science, Mathematics, Computer Science, or related fields
Demonstrable experience designing and implementing innovative, efficient, and successful AI/ML solutions
Minimum 5 years of experience in selling technical services for multi-industry customers, ideally in consulting environments
Deep knowledge of AI/ML services in at least one major cloud provider (Azure, AWS, or GCP, ideally more than one)
Solid experience in AI system architecture, solution design, and translating business needs into technical proposals
Strong understanding of generative AI, agentic AI, machine learning, and AI governance
Familiarity with MLOps/LLMOps frameworks and building scalable ML pipelines
Strong customer-facing and consultative abilities, capable of influencing stakeholders and supporting full sales cycles
Excellent communication skills with the ability to simplify complex concepts and tailor messages to diverse audiences
Fluent in English.
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Benefits
Be Well programs designed to support your financial, mental, physical, and social health