Senior Technical Consultant (AI & Data)

We’re looking for Senior Technical Consultants (AI & Data) with deep expertise in the following domains: Data Engineering, AI Solution Architecture, and Machine Learning & Data Science. 

This is a senior consulting role combining technical depth, client-facing capability, and the ability to shape and deliver data-driven solutions. 

What You Will Be Doing 

• Leading technical workshops, discovery phases, and deep-dive assessments with enterprise clients 

• Designing and implementing end-to-end AI/Data strategies and architectures aligned with business objectives 

• Driving the execution of complex AI/Data projects across design, implementation, integration, and scaling 

• Guiding clients through best practices, emerging technologies, and operationalization of AI/Data capabilities 

• Collaborating with business, product, and engineering stakeholders to ensure successful project outcomes 

• Mentoring internal teams, contributing to knowledge-sharing initiatives, and strengthening intive’s consulting practice 

• Supporting business growth by identifying new opportunities and shaping consulting offerings 

You are a good match if you have  

Core Capabilities 

• 5–7+ years of hands-on experience in AI/Data projects, with proven success delivering solutions for enterprise clients 

• Ability to lead technical assessments, define solution architectures, and guide clients through implementation decisions 

• Strong communication skills, including leading workshops, translating complex technical topics into business insights, and building long-term client relationships 

• Ability to mentor teams, set delivery direction, and ensure alignment between business goals and technical strategies 

• Strong problem-solving skills with the ability to shape consulting offerings and drive new opportunities 

• Fluent English (mandatory). Polish, German, or Spanish are a plus. 

• Advanced programming skills (Python) 

• Proficiency in at least one major cloud platform 

Deep expertise in at least one of the following domains: 

Data Engineering 

• Proven ability to design and optimize large-scale data pipelines, data architectures, and analytical platforms 

• Experience with modern data ecosystems: cloud-native data pipelines, data warehouses/lakes, streaming systems 

• Advanced programming skills and strong understanding of distributed systems 

• Hands-on experience with DataOps/MLOps-adjacent tooling, orchestration frameworks, CI/CD, and production-grade data infrastructure 

AI Solution Architecture6 

• Expertise designing end-to-end AI/ML solution architectures across cloud environments (AWS, Azure, or GCP) 

• Strong understanding of data, ML, and application layers and how they integrate into scalable production systems 

• Experience applying generative AI, LLMs, vector databases, embedding-based retrieval, and modern AI system patterns 

• Ability to define technical strategies, lead deep-dive workshops, and evaluate emerging technologies for client use cases 

Machine Learning & Data Science 

• Advanced experience building and deploying ML models, including classical ML and deep learning approaches 

• Strong analytical and statistical skills, as well as comfort turning raw data into actionable insights 

• Experience with ML lifecycle: feature engineering, training pipelines, evaluation frameworks, and production deployment 

• Familiarity with generative AI, recommendation systems, RAG architectures, and applied LLM techniques