AI Engineer
At a glance
Mid-level AI Engineering role at Partners Group. Baar.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Find and rank AI opportunities with business stakeholders, including whether to build a solution or buy one
- Take AI products from problem framing through prototypes and pilots, then prepare them for production use
- Build production-ready data pipelines, retrieval systems and reasoning workflows for AI applications
- Deploy and run open-source models, fine-tuning them when they suit specific business needs
- Track adoption, quality, value, cost and risk, while creating reusable components and working with technology teams on controls
What you bring
- A bachelor's or master's degree in a listed technical or quantitative discipline, or a related subject
- Two to six years of software engineering, with financial services exposure and a solid grasp of markets
- Two to six years taking AI or machine-learning solutions into production, including LLM applications from prototype through monitoring
- Production experience with enterprise RAG and open-source model deployment, plus hands-on fine-tuning experience
- Strong Python and enterprise software skills, alongside experience translating unclear business needs into scoped work and measurable goals
Who this fits
This role suits a mid-level engineer who can combine applied AI delivery with software engineering and financial-services knowledge. You'll work with business stakeholders and technology teams, taking solutions from discovery through production while accounting for security, compliance, auditability and risk.
From the employer
What it's about
As an AI Engineer in the AI Solutions Team, you will work at the heart of the business to identify, validate, and deliver AI solutions that create measurable outcomes. You will build production-grade, LLM-powered products end-to-end, moving quickly from discovery to first value, then scaling what works through reusable capabilities and strong governance over trusted, AI-ready data. This role combines real business impact with advanced applied AI (e.g., production-grade RAG, agents, extraction, evaluation, and open-source model deployment and fine-tuning) in a highly collaborative, agile environment where responsible AI, data governance, and risk controls are embedded from day one.
Key responsibilities:
- Collaborate with business stakeholders to identify, prioritize, and scope high-impact AI use cases, including buy-vs-build assessments
- Design and deliver AI products end-to-end, from problem definition through prototype, pilot, and production handover
- Build AI-powered solutions including data pipelines, RAG and retrieval systems, and reasoning workflows, hardened for enterprise production environments
- Deploy, serve, and operate open-source models, and fine-tune them for domain-specific use cases where they outperform or complement vendor offerings
- Integrate with vendor AI platforms and internal AI solutions, reusing existing capabilities where possible
- Instrument solutions to track adoption, quality, business value, ROI, cost, and risk
- Partner with technology teams to ensure solutions are secure, compliant, auditable, and maintainable
- Run rapid evaluation cycles and contribute reusable components, patterns, and tools for wider adoption
- Bachelor's or master's degree in Data Science, Computer Science, AI/ML, Software Engineering, Quantitative Finance, or a related field
- 2-6 years of software engineering experience, including financial services exposure and strong understanding of markets
- 2-6 years delivering ML/AI solutions to production, including end-to-end delivery of LLM-enabled applications (from prototyping to deployment and monitoring)
- Hands-on experience building and operating RAG applications in production within enterprise-ready environments — including security, access control, observability, evaluation, and cost governance
- Practical experience deploying open-source models to production
- Demonstrated experience fine-tuning open-source models (e.g., LoRA/PEFT, instruction tuning, dataset curation, and evaluation of fine-tuned checkpoints against baselines)
- Strong Python skills and proven ability to design and build maintainable, high-quality software in enterprise environments
- Working knowledge of the software development lifecycle (SDLC), version control, and modern DevOps practices
- Demonstrated ability to translate ambiguous business needs into clear scopes, roadmaps, and measurable success metrics
Partners Group is a global financial institution that retains the culture, pace and agility of a start-up. As a growing firm, we are committed to attracting, developing and retaining the very best talent, by offering a workplace where results are truly recognized and rewarded. We offer a fantastic opportunity for you to grow:
- Competitive compensation with performance-based bonuses under competitive compensation along with daily lunch allowance
- Global professional environment with international exposure, collaborative culture, and opportunities to learn the business from industry leaders and seasoned professionals
- Premium facilities including state-of-the-art building, diverse on-site dining options, and complimentary gym access with fitness classes
- Community engagement through office events, team activities, and volunteer opportunities to connect with local communities
- Comprehensive career development through challenging opportunities, hands-on training, dedicated mentorship programs, and our PG Academy learning platform for continuous growth
- Sabbatical program: one month off after every five years of service to recharge and explore
www.partnersgroup.com
Please be aware, fraudsters may pose as Partners Group recruiters. All genuine representatives can be identified by a verified sign on their LinkedIn profiles. If you suspect fraud or have doubts, contact us immediately at hr@partnersgroup.com