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Forward Deployed AI Engineer(m/w/x)
Embedding with cross-functional teams to build tailored AI solutions for online banking clients. 5+ years in software, data, ML, or platform engineering required. Hybrid-cloud environment, direct user engagement.
Requirements
- 5+ years in software, data, ML, or platform engineering
- Hands-on experience building and shipping solutions
- Ability to work directly with users
- Gathering requirements from users
- Translating business needs to technical implementations
- Practical experience with large language models
- Experience with modern AI tooling
- Prompting experience
- Retrieval-augmented generation experience
- API integration experience
- Foundational agentic patterns experience
- Comfortable building across hybrid infrastructure
- Integrating with enterprise systems
- Integrating with enterprise data sources
- Excellent communication skills
- Excellent teaching skills
- Enthusiasm for enabling others
- Ability to meet colleagues where they are
- Hands-on experience with Open WebUI
- Hands-on experience with JupyterHub
- Hands-on experience with kagent
- Hands-on experience with LLM-d
- Hands-on experience with comparable inference frameworks
- Hands-on experience with comparable agent frameworks
- Experience integrating governed LLM providers
- Building retrieval workflows in production
- Building tool-use workflows in production
- Building agentic workflows in production
- Proficiency in Python
- Proficiency in Go, Rust, Java, or JavaScript/TypeScript
- Comfortable with REST APIs
- Comfortable with gRPC APIs
- Comfortable with containers
- Kubernetes experience (a plus)
- Prior forward-deployed experience
- Prior solutions-engineering experience
- Prior developer-relations experience
- Prior technical-consulting experience
- Embedding with teams to ship outcomes
- Experience in regulated environments
- Experience in high-assurance environments
- Familiarity with AI governance
- Strong facilitation skills
- Running workshops
- Running office hours
- Running enablement programmes
- Track record of leaving teams measurably self-sufficient
Tasks
- Report to the Head of IT Architecture
- Embed with cross-functional teams
- Empower employees with AI tools
- Navigate hybrid-cloud environments
- Build tailored AI solutions
- Translate mission needs into implementations
- Enhance employee capabilities and confidence
- Promote independent platform usage
- Gather and report user feedback
- Design and prototype AI solutions
- Onboard users to Open WebUI and external providers
- Teach prompt design and safe usage
- Support agentic workflow development
- Integrate workflows with existing systems
- Assist data scientists on JupyterHub
- Guide model selection and fine-tuning
- Develop reusable integrations
- Conduct hands-on training sessions
- Create tailored documentation
- Identify and report friction points
- Channel feedback to IT teams
- Ensure AI governance compliance
- Maintain data sovereignty and content safety
- Implement prompt-injection defense
- Audit agentic workflows
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Open WebUI
- JupyterHub
- kagent
- LLM-d
- Python
- Go
- Rust
- Java
- JavaScript
- TypeScript
- REST
- gRPC
- Kubernetes
- Anthropic Claude
- OpenAI GPT
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Forward Deployed AI Engineer(m/w/x)
Embedding with cross-functional teams to build tailored AI solutions for online banking clients. 5+ years in software, data, ML, or platform engineering required. Hybrid-cloud environment, direct user engagement.
Requirements
- 5+ years in software, data, ML, or platform engineering
- Hands-on experience building and shipping solutions
- Ability to work directly with users
- Gathering requirements from users
- Translating business needs to technical implementations
- Practical experience with large language models
- Experience with modern AI tooling
- Prompting experience
- Retrieval-augmented generation experience
- API integration experience
- Foundational agentic patterns experience
- Comfortable building across hybrid infrastructure
- Integrating with enterprise systems
- Integrating with enterprise data sources
- Excellent communication skills
- Excellent teaching skills
- Enthusiasm for enabling others
- Ability to meet colleagues where they are
- Hands-on experience with Open WebUI
- Hands-on experience with JupyterHub
- Hands-on experience with kagent
- Hands-on experience with LLM-d
- Hands-on experience with comparable inference frameworks
- Hands-on experience with comparable agent frameworks
- Experience integrating governed LLM providers
- Building retrieval workflows in production
- Building tool-use workflows in production
- Building agentic workflows in production
- Proficiency in Python
- Proficiency in Go, Rust, Java, or JavaScript/TypeScript
- Comfortable with REST APIs
- Comfortable with gRPC APIs
- Comfortable with containers
- Kubernetes experience (a plus)
- Prior forward-deployed experience
- Prior solutions-engineering experience
- Prior developer-relations experience
- Prior technical-consulting experience
- Embedding with teams to ship outcomes
- Experience in regulated environments
- Experience in high-assurance environments
- Familiarity with AI governance
- Strong facilitation skills
- Running workshops
- Running office hours
- Running enablement programmes
- Track record of leaving teams measurably self-sufficient
Tasks
- Report to the Head of IT Architecture
- Embed with cross-functional teams
- Empower employees with AI tools
- Navigate hybrid-cloud environments
- Build tailored AI solutions
- Translate mission needs into implementations
- Enhance employee capabilities and confidence
- Promote independent platform usage
- Gather and report user feedback
- Design and prototype AI solutions
- Onboard users to Open WebUI and external providers
- Teach prompt design and safe usage
- Support agentic workflow development
- Integrate workflows with existing systems
- Assist data scientists on JupyterHub
- Guide model selection and fine-tuning
- Develop reusable integrations
- Conduct hands-on training sessions
- Create tailored documentation
- Identify and report friction points
- Channel feedback to IT teams
- Ensure AI governance compliance
- Maintain data sovereignty and content safety
- Implement prompt-injection defense
- Audit agentic workflows
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Open WebUI
- JupyterHub
- kagent
- LLM-d
- Python
- Go
- Rust
- Java
- JavaScript
- TypeScript
- REST
- gRPC
- Kubernetes
- Anthropic Claude
- OpenAI GPT
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Swissquote
Industry
FinancialServices
Description
The company is the Swiss leader in online banking, providing trading, investing, and banking services to over 500,000 clients.
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