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 our Pods, 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., RAG, agents, extraction, evaluation) 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, retrieval systems, and reasoning workflows
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
5+ years of software engineering experience, including financial services exposure and strong understanding of markets
2+ years delivering ML/AI solutions to production, including end-to-end delivery of LLM-enabled applications (from prototyping to deployment and monitoring)
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

Nice to have:

AWS Certified Machine Learning Engineer – Associate (or equivalent)
Experience working with confidential data and partnering with governance, risk, and security stakeholders

What we offer

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 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
Performance-based bonuses under competitive compensation along with daily lunch allowance
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 [email protected]

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