AI Consultant (GenAI)

Spyrosoft is an authentic, cutting-edge software engineering company, established in 2016. In 2021 and 2022, we were among the fastest growing technology companies in Europe, according to the Financial Times. We were founded by a group of tech experts with established backgrounds in software engineering, who created an ‘engineer-to-engineer’ workplace, powered by enthusiasm, fairness and authentic relationships. Having a unique offering, which bridge the gap between technology and business, we specialise in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education and financial services industries.

• Previous experience as a Solution Architect, Technical Lead, Engineering Lead or similar senior technical role
• Strong software engineering background with a solid understanding of modern application architecture and cloud technologies
• Experience working directly with enterprise customers in consulting, advisory or solution delivery roles
• Proven ability to lead technical workshops, discovery sessions and architecture assessments
• Broad understanding of Generative AI, Machine Learning and enterprise AI platforms
• Ability to identify business challenges and translate them into practical technical solutions
• Strong consulting, communication and stakeholder management skills
• Excellent presentation and facilitation skills
• Ability to communicate effectively with both technical and non-technical audiences
• Fluent English - C1

Nice to have:

• Experience delivering AI transformation or digital transformation initiatives
• Experience supporting pre-sales and business development activities
• Knowledge of OpenAI, Microsoft AI, Azure AI, AWS or Google Cloud AI services
• Experience preparing AI adoption roadmaps and technology strategies
• AI, cloud or architecture certifications

• Partner with customers to understand their business goals, challenges and technology landscape
• Lead AI discovery workshops, technical assessments and solution design sessions
• Identify high-impact AI use cases and evaluate their business value and technical feasibility
• Assess existing systems, architecture and engineering capabilities to determine AI readiness
• Recommend AI solutions, implementation approaches and technology roadmaps tailored to customer needs
• Translate business objectives into clear technical strategies and delivery plans
• Collaborate with AI Engineers, Solution Architects, Data Engineers and business stakeholders throughout the engagement
• Support pre-sales activities, customer presentations and technical demonstrations
• Provide trusted technical guidance throughout the AI adoption journey
• Stay up to date with emerging AI technologies, industry trends and best practices