Lead AI Consultant

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Spyrosoft

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2016

🤝 B2B

🏢 Enterprise

🤖 Artificial Intelligence

B2B • Enterprise • Artificial Intelligence

Spyrosoft is a European technology services and software engineering company that partners with enterprises to deliver digital transformation, custom software, and IT consulting. It provides cloud, AI/ML, embedded and IoT development, cybersecurity, product design, managed services, and staff augmentation, and builds platforms and products such as DebtPro, Allpro, and VoicePro. Spyrosoft serves clients across multiple sectors including automotive, healthcare and life sciences, financial services, geospatial, media and entertainment, robotics and energy, and operates from offices across Europe, the UK, and the US.

📋 Description

• 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. • Ability to lead complex client conversations with senior stakeholders and translate ambiguous business challenges into actionable AI strategies. • 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. • Strategic and analytical mindset, with ability to structure complex issues, defend recommendations, and guide stakeholders through trade-offs. • Excellent communication, facilitation, and presentation skills, including the ability to translate technical complexity into clear business language. • Strong relationship management skills and confidence in engaging senior client stakeholders. • Innovative, proactive approach to identifying opportunities, solving problems, and developing consulting practices. • Fluent English, C1 preferred. • Willingness to travel for client engagements as needed, up to 10%.