AI Engineer

We are one of the largest global private markets investment managers, serving over 800 institutional investors worldwide. We have USD 185 billion in assets under management and around 2,000 professionals across 24 offices worldwide. Partners Group is an equal opportunity employer committed to cultural diversity. 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 What we expect 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 productionDemonstrated 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

What we offer

Competitive compensation with performance‑based bonuses and 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