GenAI Solutions Architect
vor 2 Wochen
Founded in 2017, Unit8 is a fast-growing Swiss AI and data analytics consulting and services company dedicated to solving complex problems of traditional industries like automotive, chemical, financial services, manufacturing and pharma. We work with some of the biggest organisations in Europe to solve the challenges that directly affect their business - be it operations, finance, manufacturing or R&D. Since our foundation, we have successfully delivered more than 200 projects and have grown to 150+ talented individuals across 5 office locations.
At Unit8, we are committed to using data, AI, and GenAI responsibly to help leading companies across industries unlock value and create positive impact. We deliver end-to-end data and AI solutions — from strategy and architecture to deployment and operations — with a focus on trust, ethics, and tangible business outcomes.
Requirements
Your Role & ResponsibilitiesAs a GenAI Solutions Architect, you'll play a pivotal role in shaping Unit8's GenAI strategy, designing cutting-edge solutions, and driving business growth alongside our clients and teams. You will focus on three key areas:
1. Technical Leadership
- Apply in-depth understanding of GenAI technologies and architectures.
- Own one major cloud platform (preferably Azure) and leverage IaC (Bicep, Terraform) for scalable deployments.
- Design and implement solutions with LLMs (e.g., GPT models), including RAG pipelines and domain-specific adaptations.
- Develop production-grade software with Python; frontend experience is a plus.
- Continuously scan the GenAI landscape to identify emerging trends and technologies, filtering signal from noise.
2. Business Development (BD) Enablement
- Actively participate in BD and pre-sales calls as a trusted technical advisor.
- Pitch GenAI use cases and value propositions effectively, bridging technical depth with business relevance.
- Estimate timelines, tasks, and resources for client proposals.
- Create and deliver compelling GenAI demos to prospects.
- Communicate with clarity and impact; prior consulting experience is a plus.
- Proven ability to influence at CxO level in pre-sales or delivery contexts.
3. Strategy & Internal Contribution
- Contribute hands-on to building demos and reusable assets.
- Help guide and coordinate internal teams to develop GenAI accelerator
- Strong expertise in cloud architecture, with mastery of one major provider (Azure preferred).
- Familiarity with Infrastructure-as-Code (Bicep, Terraform).
- Proven experience with LLM-based solutions, from proof-of-concept to deployment.
- Solid software engineering foundation, particularly in Python.
- Demonstrated ability to stay ahead of GenAI trends while focusing on practical, impactful outcomes.
- Excellent communication skills, with the ability to adapt messaging for both technical and business audiences.
- Experience in pre-sales / solution architecture or consulting is highly valued.
- Pro-active mindset.
Benefits
What We Offer- The opportunity to shape the expansion of one of the leading Swiss data & AI consultancies.
- A competitive compensation package, including a base salary and a yearly bonus based on both individual and company performance.
- Above-the-norm flexibility regarding when and from where you work.
- Work on cutting-edge data, AI & analytics topics that have a real impact across industries.
- Dedicated time and budget for continuous learning, training, and pro-bono projects.
- Frequent cross-office/company-wide events (off-site or online) as well as a quarterly budget for team activities.
- Please be advised that we offer a remote mode of work in 2025. From 2026, we expect employees to work in a coworking space 1-2 days every two weeks.
To give you transparency on parts of the interview process and what Unit8 is looking for, here are some areas we'll focus on:
- Python coding: senior-level proficiency expected.
- System design & decomposition: senior-level, with strong architectural reasoning.
- Business development technical support: intermediate to senior-level, including ability to support pitches, workload estimates, and client conversations.
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