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Advise financial services and insurance leaders on AI-enabled business models, data and AI strategy, governance, operating models, and transformation priorities. Structure complex challenges, conduct market analysis, develop roadmaps, lead transformation workstreams, coach colleagues, and support business development through proposals, thought leadership, and reusable methodologies. The role involves international client travel, primarily to the UK and France.

Develops and deploys enterprise AI solutions, especially LLM and VLM applications, TTS, STT, and machine learning models. Responsibilities include model research, training, fine-tuning, evaluation, optimization, API and microservice integration, production deployment, monitoring, MLOps, CI/CD, security, scalability, and cost optimization. The role requires close collaboration with data engineers, DevOps, product teams, project managers, and clients to deliver reliable, production-ready AI systems.

Lead and grow a software engineering team delivering scalable, high-quality AI solutions for banking and insurance clients. Responsibilities include defining architecture, establishing development best practices, managing team performance and growth, resolving technical obstacles, collaborating cross-functionally, and ensuring successful client delivery within agreed timelines.

Provide first-line IT support for office and remote employees, resolving hardware, software, network, and account issues. Manage onboarding and offboarding, Microsoft 365, macOS, Atlassian, device and software inventory, licensing administration, and IT documentation. Build workflow automations, use AI tools, support data security, and escalate complex or recurring issues. The role offers hybrid work and growth toward systems administration, security, and licensing responsibilities.

Design, build, optimize, deploy, and monitor production AI/ML solutions, especially LLM and VLM applications. Develop model integrations, APIs, MLOps pipelines, RAG systems, and scalable serving infrastructure. Apply software engineering, testing, CI/CD, observability, security, and compliance practices. Own model lifecycles from data preparation and research through production maintenance. Collaborate with engineers, project managers, clients, and stakeholders while mentoring junior engineers and evaluating emerging AI techniques.

Lead business analysis for complex AI and data projects, translating stakeholder needs into requirements, workflows, user stories, and solution designs. Responsibilities include process and data modeling, exploratory data analysis, backlog ownership, scope management, testing and UAT coordination, client adoption support, and pre-sales contributions. The role bridges business stakeholders with architects, engineers, and data scientists while supporting AI transformations for Swiss financial and insurance clients.

Hands-on technical lead responsible for designing, coding, and delivering enterprise data and AI systems. Leads cross-functional engineering teams, defines architectures, reviews designs and code, mentors engineers, and enables scalable AI development and operations. The role addresses complex enterprise ecosystems, modernization, cybersecurity, data governance, responsible AI, compliance, and regulated environments. It also supports executive stakeholder relationships, proposals, and expansion of data and AI platform capabilities.

Design, implement, and maintain scalable Azure and AWS cloud infrastructure. Build CI/CD pipelines, manage Kubernetes and Docker environments, implement Terraform-based infrastructure as code, and support GitOps deployments. Monitor performance, troubleshoot issues, apply networking security controls, and collaborate with development and cross-functional teams. The role also includes mentoring junior engineers and driving continuous infrastructure improvement in a client-facing consultancy environment.

Serve as a senior technical advisor to clients across Switzerland, leading enterprise architecture, integration, deployment, and AI modernization. The role requires hands-on experience shipping production code and enterprise-scale systems, conducting technical design reviews, building prototypes, and integrating AI into secure, scalable architectures. Responsibilities include supporting pre-sales, improving delivery quality, advising senior technology stakeholders, and serving as a trusted long-term client partner.

Hands-on technical lead responsible for designing, coding, and delivering enterprise data and AI solutions. Leads cross-functional engineering teams, defines architectures, reviews designs and code, mentors engineers, and embeds security, governance, compliance, and responsible AI practices. The role also supports modernization across complex enterprise systems, enables scalable AI lifecycle management, and contributes technical expertise to client relationships, proposals, and growth initiatives.