Senior AI Consultant

Kyndryl

AI Senior Consultant at Kyndryl designing and architecting AI solutions across various technologies. Leading engagements, collaborating closely with customers and technical teams to deliver tailored solutions.

Posted 5/26/2026full-timeMadrid • 🇪🇸 SpainSeniorWebsite

ATS Keywords

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Hard Skills

AI solutions designgenerative AIagentic AImachine learningMLOpsLLMOpsAI governance frameworksAI system architecturesolution designbuilding scalable ML pipelines

Soft Skills

customer-facing abilitiesconsultative abilitiesinfluencing stakeholderscommunication skillssimplifying complex conceptstailoring messagescollaborationpresentation skillsscientific rigorpre-sales support

Tools & Technologies

AzureAWSGCP

Certifications & Qualifications

Master’s degreePhD in Data SciencePhD in MathematicsPhD in Computer Science

Industry Keywords

healthenergyfinancetechnical servicesconsulting environmentsRFPscustomer presentationssector-specific strategiesAI/ML solutionstechnical proposals

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Be Well programs thoughtfully designed to support your financial, mental, physical, and social health