Senior AI Consultant

Spyrosoft is a software engineering company established in 2016, recognized as one of the fastest growing technology companies in Europe in 2021 and 2022. The company specializes in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education, and financial services industries.

• Strong experience in IT, data, AI/ML, or analytics-related roles with proven involvement in projects delivering business value through data or AI solutions.
• Experience in consulting, pre-sales, business analysis, solution design, or client-facing technical roles.
• Ability to structure ambiguous business problems and translate them into feasible AI, ML, data, or Generative AI initiatives.
• Practical understanding of Generative AI and LLM-based solutions, including RAG, prompt engineering, evaluation, guardrails, and common integration patterns.
• Good understanding of ML lifecycle and MLOps practices, including experimentation, deployment, monitoring, model/data drift, and reproducibility.
• Hands-on familiarity with Python and core AI/ML libraries such as scikit-learn, PyTorch, TensorFlow, LangChain, LlamaIndex, or equivalent tooling.
• Familiarity with tools and platforms such as Jupyter, MLflow, Azure ML, Vertex AI, Amazon SageMaker, or similar.
• Understanding of cloud-based AI/ML services, preferably across Azure, AWS, or GCP.
• Ability to explain technical complexity in clear business language and communicate recommendations to stakeholders.
• Strong analytical mindset, ownership attitude, and ability to work independently in client-facing situations.
• Fluent English, C1 preferred.
• Willingness to travel for client engagements as needed, up to 10%.

• Support and lead selected parts of client discovery and pre-sales engagements, including business needs analysis, AI opportunity identification, feasibility assessment, and solution scoping.
• Translate business objectives into practical data and AI initiatives, ensuring proposed solutions are aligned with measurable business value.
• Contribute to proposals, discovery workshops, solution outlines, and statements of work.
• Advise clients and internal teams on AI/ML technology choices, considering feasibility, cost, risk, compliance, and expected outcomes.
• Collaborate closely with technical teams, architects, engineers, and business stakeholders to ensure shared understanding of requirements and delivery constraints.
• Support AI project delivery by helping define success metrics, validating assumptions, and maintaining alignment between business expectations and technical execution.
• Communicate analytical and technical insights clearly to both business and technical audiences.
• Contribute to the development of AI Consulting practices, reusable assets, and internal knowledge sharing.