Live opening · Posted 11 days ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
Main Responsibilities
Lead client discovery and pre-sales engagements, identifying AI opportunities, structuring business problems, defining AI project scopes, and shaping solution approaches
Own or significantly contribute to proposals, discovery workshops, business cases, solution concepts, and statements of work
Translate business objectives into data, AI, and GenAI strategies, ensuring that analytics, automation, and model development are directly linked to measurable business value
Advise senior stakeholders on technology and architecture choices, balancing feasibility, cost, risk, security, compliance, scalability, and expected business outcomes
Challenge assumptions and recommend the most appropriate AI approach for the client context, including when AI is not the right solution
Liaise between business, technical, delivery, and leadership teams to ensure clear communication and alignment across disciplines
Lead AI project delivery from a consulting perspective, overseeing execution quality, stakeholder alignment, business impact, and value realization
Co-create the strategy, vision, standards, and roadmap for Spyrosoft’s AI Consulting offering
Mentor consultants, engineers, and other team members in AI consulting practices, discovery methods, solution framing, and stakeholder communication
Communicate AI insights and recommendations clearly to executive, business, and technical audiences
Requirements
Extensive experience in IT, data, AI/ML, analytics, or digital transformation, including significant involvement in AI-focused and consulting roles
Proven track record of shaping and delivering AI, ML, data, or GenAI initiatives that created measurable business value
Strong experience in client-facing consulting, pre-sales, solution design, discovery, business case creation, or advisory work
Strong understanding of Generative AI and LLM-based solution patterns, including RAG, fine-tuning, evaluation, guardrails, prompt engineering, observability, and responsible AI considerations
Solid technical credibility in AI/ML, including practical understanding of Python, ML/DL libraries, model lifecycle, MLOps, and cloud-based AI platforms
Experience with tools and platforms such as Jupyter, MLflow, Azure ML, Vertex AI, Amazon SageMaker, Databricks, or equivalent
Broad understanding of cloud platforms, preferably Azure, AWS, and/or GCP, with ability to assess solution trade-offs across architecture, cost, scalability, security, and operational complexity
Strong knowledge of MLOps best practices, including CI/CD for ML, experiment tracking, model registry, deployment, monitoring, observability, and maintenance
Skills and qualities
Excellent communication, facilitation, and presentation skills, including the ability to translate technical complexity into clear business language
Innovative, proactive approach to identifying opportunities, solving problems, and developing consulting practices
Ability to lead complex client conversations with senior stakeholders and translate ambiguous business challenges into actionable AI strategies
Fluent English, C1 preferred
Willingness to travel for client engagements as needed, up to 10%
Salary range
B2B: 36 - 45 EUR/h net
Employment Agreement: 4.500 - 5.500 EUR gross
Work arrangement
Yes
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