Forward Deployed AI Engineer

Tradition; Lausanne; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Tradition is seeking a Forward Deployed AI Engineer to be based in Lausanne. The role collaborates with business teams to understand workflows, redesign processes, and deliver AI-enabled solutions end-to-end.

You will own projects through discovery, design, build, deployment and ongoing improvement, leveraging AI agents and LLMs via vLLM. Responsibilities include scaling deployments across regions, establishing CI/CD pipelines, monitoring model performance, and delivering practical documentation

Qualifikationen

• Degree in Computer Science, Software Engineering, or related field.
• 2+ years as a software engineer with stakeholder interaction.
• Strong Python coding and maintainable language.

Aufgaben

• Collaborate with teams to understand workflows and scope end-to-end solutions.
• Map and redesign processes, automate activities, and drive measurable improvements.
• Own solutions through full delivery lifecycle from discovery to deployment and improvement.
• Build applications and AI agents using the platform and on-prem LLMs with vLLM.
• Support deployment across regions considering infra, regulatory and compliance needs.
• Establish CI/CD pipelines and ensure reliable releases.

Kenntnisse

Python

Stakeholder Mgmt

CI/CD pipelines

LLM APIs

Autonomy

Software Engineering

Monitoring tools

vLLM

Ausbildung

Bachelor's or equiv in CS/Software Eng

Tools

Prometheus

Grafana

vLLM

Hermes Agent

OpenClaw

Jobbeschreibung

Tradition is the interdealer broking arm of Compagnie Financière Tradition and one of the world's largest interdealer brokers in over-the-counter financial and commodity related products. CFT is represented in over 28 countries, employing over 2,500 people.

Tradition’s goal is to provide superior client services. It believes its business success is a direct reflection of its employees and recruits. As such, teamwork, creativity, reliability and integrity are components of a work ethic taken very seriously since the company was founded in 1959.

Tradition is currently seeking to appoint a Forward Deployed AI Engineer to be based within the Lausanne office.

Main responsibilities within the Forward Deployed AI Engineer position include:

• Work closely with teams across the business to understand their workflows, identify opportunities where the platform can add value, and scope solutions end to end.
• Map and analyse existing processes, working collaboratively with process owners to redesign workflows, automate suitable activities, and deliver measurable improvements.
• Own solutions through the full delivery lifecycle, from initial discovery and design through to build, deployment, iteration and ongoing improvement based on real-world feedback.
• Build applications, AI agents and agentic workflows using the platform and on-premises LLMs served via vLLM.
• Support the deployment and adaptation of the platform across multiple regions, taking into account differences in infrastructure, regulatory and compliance requirements.
• Establish and maintain deployment pipelines and CI/CD processes for AI applications, ensuring reliable and repeatable releases.
• Monitor application health, model performance and platform usage, identifying opportunities to improve reliability, performance and scalability.
• Deliver demonstrations, walkthroughs and training sessions, supported by clear and practical documentation to drive adoption across the business.
• Capture learnings and feedback from deployments and feed these back into the core platform, helping to continuously improve the solution and streamline future implementations.

Key skills, experience and competencies required to be successful in this role:

• Degree in Computer Science, Software Engineering, or a related field
• 2+ years of post-graduation experience- as a software engineer, in a role where you worked directly with stakeholders or end users.
• Strong software engineering fundamentals and strong Python. You write code that other people can pick up, run, and maintain
• Strong stakeholder management skills : you can run a discovery conversation, ask the questions that matter, push back on a request that won't work, and translate a vague business problem into a scoped piece of work
• Autonomy in scoping and owning projects. You set your own priorities, drive progress toward broader team goals, and see work through to adoption rather than simply handing it over to others.
• A structured way of thinking about processes: you can take a workflow apart, see which steps carry the value and which are there by habit, and propose a better design rather than automating the existing one as it stands
• Experience with CI/CD pipelines and deployment automation
• Familiarity with application/system monitoring and observability tools (e.g. Prometheus, Grafana or similar)
• Comfortable building against LLM APIs and consuming models served via vLLM (no deployment/ops experience required)

Desirable:

• Experience with AI agent frameworks such as Hermes Agent, OpenClaw, or similar
• Familiarity with visual workflow orchestration platforms (e.g. n8n, Langflow)
• Familiarity with JavaScript and developing small front-end applications
• Available to start immediately

Tradition do not accept agency CV’s. Please do not forward CV’s to our employees or Talent team. Tradition are not accountable for any fees related to unsolicited resumes. The Talent team will reach out to trusted agents when required.

Please note, due to the large volume of applications for this position, only suitable candidates will be contacted. If you have not heard from us within 14 days, unfortunately, your application has been unsuccessful.

Tradition welcome all suitable applications and are an equal opportunity employer who value diversity. All employment is decided on the basis of qualifications and merit.

By applying for this role, you agree that we may retain your details on our system for a period of 6 months and may contact you for any future vacancies that may arise within the Tradition Group.