AI Consultant Jobs (No ghost jobs, direct from employers)

Summary

Spyrosoft SA is seeking a Senior/Lead AI Consultant to drive AI strategy and project delivery, bridging executive stakeholders, business operations, and technical teams. This role focuses on identifying AI opportunities, shaping solutions, and ensuring measurable business impact while contributing to the development of Spyrosoft's AI Consulting offerings.

Responsibilities (What you'll do)

• Lead client discovery and pre-sales engagements to identify AI opportunities and define project scopes.
• Develop proposals, discovery workshops, business cases, solution concepts, and statements of work.
• Translate business objectives into data, AI, and Generative AI strategies linked to measurable business value.
• Advise senior stakeholders on technology and architecture choices considering feasibility, cost, risk, security, compliance, scalability, and outcomes.
• Challenge assumptions and recommend appropriate AI approaches, including when AI is not suitable.
• Facilitate communication and alignment between business, technical, delivery, and leadership teams.
• Oversee AI project delivery from a consulting perspective, ensuring execution quality and value realization.
• Co-create strategy, vision, standards, and roadmap for Spyrosoft's AI Consulting offering.
• Mentor consultants, engineers, and team members in AI consulting practices and stakeholder communication.
• Communicate AI insights and recommendations clearly to executive, business, and technical audiences.

Qualifications (What skills you have to have)

• Extensive experience in IT, data, AI/ML, analytics, or digital transformation with significant AI consulting roles.
• Proven track record of delivering AI, ML, data, or Generative AI initiatives with measurable business value.
• Strong client-facing consulting experience including pre-sales, solution design, discovery, and business case creation.
• Deep understanding of Generative AI and LLM-based solution patterns such as RAG, fine-tuning, prompt engineering, and responsible AI.
• Technical proficiency in Python, ML/DL libraries, model lifecycle, MLOps, and cloud-based AI platforms.
• Experience with tools like Jupyter, MLflow, Azure ML, Vertex AI, Amazon SageMaker, Databricks, or equivalents.
• Broad knowledge of cloud platforms (Azure, AWS, GCP) with ability to assess architecture, cost, scalability, and security trade-offs.
• Strong knowledge of MLOps best practices including CI/CD for ML, experiment tracking, model registry, deployment, and monitoring.
• Excellent communication, facilitation, and presentation skills with ability to simplify technical concepts for business audiences.
• Fluent English (C1 preferred) and willingness to travel up to 10% for client engagements.

Benefits

• Salary range for B2B contracts: 36 - 45 EUR per hour net.
• Salary range for employment agreement: 4,500 - 5,500 EUR gross per month.