Technical Lead, Data & AI, CH

vector8; Zürich; Vor Ort; CHF 120.000 - 160.000; Vollzeit

Benefits dieser Stelle

Competitive salary package

25 days of vacation

Supportive team culture

Development budget

Zusammenfassung

vector8 is seeking a Technical Lead in Zürich who will directly contribute to coding and building solutions in the data and AI domain. This role emphasizes hands-on involvement with a focus on leading teams, designing complex architectures, and delivering enterprise-grade systems.

The ideal candidate has extensive experience in machine learning and data engineering, strong coding skills, and the ability to influence stakeholders. The role offers a competitive salary, 25 vacation days, and a culture of professional growth.

Qualifikationen

• Extensive experience in ML and data engineering.
• Deep expertise in designing complex AI solutions.
• Strong skills in Python, SQL, or similar languages.
• Experience with multi-cloud environments.
• Knowledge of compliance and data governance.

Aufgaben

• Contribute directly to solution development.
• Lead teams and define technical workstreams.
• Design architectures for AI monitoring and governance.
• Build relationships with business stakeholders.

Kenntnisse

Machine Learning and Data Engineering

Hands-on Coding (Python, SQL)

AWS/Azure/GCP Services

Stakeholder Management

Complex Problem Solving

Ausbildung

Bachelor’s or Master’s degree in Computer Science, Mathematics, or related field

Tools

Data Governance Frameworks

Jobbeschreibung

Job Description

The Technical Lead is a central, deeply hands‑on role at vector8. You will write code, build solutions, and directly drive the delivery of enterprise‑grade data and AI systems — while providing the technical direction and mentorship that helps the team around you excel. This is not a primarily hands‑off, high‑level management position: you are expected to be in the codebase every day, solving hard problems, unblocking teammates, and setting the bar for engineering quality. You bring strong hands‑on engineering skills across data and AI, combined with the breadth to make sound technical decisions, navigate complex system landscapes, and ensure everything delivered is secure, performant, and compliant.

Job Requirements

• Extensive anddemonstrableexperience inML &data engineering&AI solution architectures.
• Deepexpertisein designing and building complex AI solutions (MLOps, streaming, APIs, orchestration).
• Strong hands‑on engineering skills - comfortable coding in Python, SQL, or similar languages and working with modern data/AI toolchains.
• Experience with AWS, Azure, or GCP data/AI services; multi‑cloud familiarity is astrongplus.
• Knowledge of data governance, responsible AI, security frameworks, and operational controls, ideally coupled with experience inhighly regulated industries with strict requirements for security, privacy, compliance, and data governance.
• Excellent stakeholder management and communication skills, able to influence both executives and engineering teams.
• Ability to convert complex challenges into clear architectural decisions and actionable delivery plans.
• Bachelor’s orMaster’s degree in Computer Science, Mathematics,Physicsora relatedfield.

Job Responsibilities

Hands‑on Contributor

• Contribute directly to solution developmentvalidatingtechnical approaches when needed.
• Support teams during complex engineering tasks, unblock challenges, and ensure the final solution aligns with the architecture.
• Hands‑on delivery is the primary mode — you lead from the front, writing code and solving problems directly alongside the team.

Drive Technical Delivery & Team Leadership

• Lead cross‑functional delivery teams of data engineers, ML engineers, MLOps specialists, and software developers.
• Define technical workstreams, review code and designs, and ensure architectural coherence throughout the implementation.
• Provide coaching, mentoring, and thought leadership to elevate engineering quality and delivery excellence.

Data & AI Solutions Navigate Complex Systems & Regulated Environments

• Work across intricate enterprise ecosystems with heterogeneous applications, distributed data sources, and legacy components.
• Identifymodernization paths and integration patterns that respect operational realities and long‑standing constraints.
• Embed data protection, cybersecurity controls, governance, and compliance in solution design.

Enable AI at Scale

• Design architectures that support AI development, deployment, monitoring, governance, and lifecycle management.
• Build reusable architectural patterns and components that accelerate scaling AI beyondsingle usecases.

Shape Client Relationships & Growth

• Build trusted relationships with CDOs, CIOs, Chief Architects, engineering leads, and business stakeholders.
• Contribute technicalexpertiseto proposals andRfPs.
• Identifyopportunities to expand AI and data platform capabilities across the organization.

Job Benefits

• A role at the forefront of AI transformation for leading Swiss enterprises in financial services, insurance, and beyond
• Work withcutting-edgeAI technologies and innovative solutions that create real, measurable business value
• A dynamic, entrepreneurial work environment where your contributions directly drive company growth
• Supportive team culture that prioritises continuous learning, professional development, and personal growth
• A leadership ethos focused on empowering people, fostering collaboration, excellence, authenticity, and diversity
• Competitive salary package, 25 days of vacation, development budget, and a flat hierarchy