Technical Engagement Lead

Founded in 2017, Unit8 is a leading Data AI services company helping large organisations turn data and AI into measurable business value.
We work with major enterprises across industries including pharma, chemicals, manufacturing, financial services and automotive, solving complex problems across operations, RD, customer experience and core business processes.
Today, Unit8 brings together 170+ engineers, data scientists and consultants across Europe and North America, with a growing presence in the Middle East. We have delivered more than 350 Data AI projects, spanning GenAI and AI engineering, data platforms, cloud, machine learning and advanced analytics.
Who We AreFounded in 2017, Unit8 is a leading Data AI services company helping large organisations turn data and AI into measurable business value.
We work with major enterprises across industries including pharma, chemicals, manufacturing, financial services and automotive, solving complex problems across operations, RD, customer experience and core business processes.
Today, Unit8 brings together 170+ engineers, data scientists and consultants across Europe and North America, with a growing presence in the Middle East. We have delivered more than 350 Data AI projects, spanning GenAI and AI engineering, data platforms, cloud, machine learning and advanced analytics.
Our MissionOur mission is to help organisations make Data AI work in the real world.
We combine strong engineering, technical expertise and business understanding to take ideas from problem definition and architecture through implementation, deployment and adoption.
The RoleAs a Technical Engagement Lead, you will take ownership of complex Data AI engagements and lead them from an ambiguous client problem to a successful technical outcome.
You will work at the intersection of client leadership, architecture and hands-on engineering: understanding what the client is trying to achieve, translating it into a clear delivery approach, guiding the technical solution and team, and stepping into implementation when needed.
This is a role for someone who wants to grow into broader delivery and client leadership without moving away from technology.
Depending on your experience, your scope may range from leading a complex technical engagement to coordinating multiple workstreams, senior engineers or broader client responsibilities.
What You’ll DoOwn the engagement end-to-end
- take accountability for the client relationship, delivery outcomes and the performance of the teamTurn client problems into delivery plans
- work with clients to define clear objectives, scope, priorities and a practical roadmapOwn the technical solution
- shape the architecture, stay hands-on in implementation and ensure high engineering qualityLead and manage the team
- create a high-performing environment, give direction and feedback, and help people do their best workHelp grow our business
- identify and shape new opportunities within existing accounts and contribute to pre-sales and new client engagementsWhy You’ll Love ItSolve important problems
- work directly with clients on complex challenges where Data AI can materially improve how their business operates and serves customersOwn the outcome
- take responsibility from client problem to successful delivery, working across technology, teams and stakeholders as your scope grows.
Work at the edge of Data AI
- design and deliver solutions across GenAI and agents, AI engineering, modern data platforms, cloud, software engineering and production ML.
Work with people who raise the bar
- collaborate with deeply technical engineers, data scientists and consultants who care about solving difficult problems and making an impact.
RequirementsWho You AreYou typically bring 5-8 years of relevant experience, with significant ownership of technical projects or client engagementsYou have a strong engineering background and remain comfortable designing, implementing, reviewing and debugging production systemsYou bring deep expertise in at least one area such as GenAI / AI Engineering, Data Engineering, Cloud Data Platforms or ML / Data Science, together with ability to work across disciplinesYou are strong at problem decomposition and system design and able to move from a business problem to requirements, architecture, technical trade-offs and an executable delivery planYou have experience leading engineers or teams and taking responsibility for delivery outcomesYou communicate effectively with clients and senior stakeholders, build trust quickly, and are comfortable contributing to proposals and account growthExperience in consulting or another client-facing services environment is a strong plusBenefitsWhat

We Offer
Opportunity to contribute to the growth of one of the leading Swiss data AI consultanciesWork on cutting-edge data AI topicsOption to partially work from homeFlexible

working hours
Cross-office/ company-wide frequent events like off-sitesDedicated budget for trainingWhy Unit8?At Uni