What it's about
As a Forward Deployed Engineer/AI Engineer in our AI Pods, you'll work at the heart of the business to identify, validate, and deliver AI solutions. You'll 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. What makes this role exciting is the combination of real business impact and advanced applied AI (RAG, agents, extraction, evaluation), all within a highly collaborative, agile environment where responsible AI, data governance, and risk controls are built in from day one.
Key responsibilities
- Partner with business team to identify and prioritize high-impact AI use cases, including buy-vs-build recommendations.
- Design and deliver AI products end-to-end, from problem definition through prototype, pilot, and production handover.
- Build AI-powered solutions.
- Develop robust datasets along with retrieval and reasoning pipelines across different business functionalities.
- 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 team to ensure secure, compliant, auditable, and supportable solutions.
- 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, Artificial Intelligence / Machine Learning, Software Engineering, Quantitative Finance, or a related discipline
- Background in the financial industry with a solid understanding of financial markets, and 5+ years of professional experience in traditional software engineering or a similar role.
- Demonstrated experience (minimum 2 years) building and shipping ML/AI products in production environments, ideally with measurable business outcomes.
- AWS certification preferred, ideally AWS Certified Machine Learning Engineer – Associate
- Strong proficiency in a modern development language such as Python.
- Hands-on experience with modern databases and data platforms such as PostgreSQL, MS SQL, Snowflake, or comparable technologies.
- Strong hands-on engineering ability to deliver LLM applications end-to-end (e.g., Python, APIs, system integration, testing, deployment readiness).
- Hands-on experience designing and developing software solutions in enterprise or team-based environments, with a strong focus on code quality, sound design decisions, and collaboration.
- Familiarity with the software development lifecycle, version control systems, and modern DevOps practices.
- Ability to translate ambiguous business problems into product scopes, roadmaps, and iteration plans with clear success metrics and value gates.
- Comfortable working with sensitive/confidential data and partnering with governance, risk, and security stakeholders to embed controls from the start.
- Strong collaboration and communication skills—able to work embedded within business teams and cross-functionally with other technology teams.
- Driven, self-starter, inclusive, team-oriented mindset
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 you a fantastic opportunity for you to grow:
- Professional, international working environment
- Challenging, rewarding career within a growing company
- Collaborative environment, with on-the-job training and mentorship opportunities
- 25 vacation days
- One-month sabbatical after every five years of service
- Lunch stipend
- Fun office and team events, including volunteer opportunities to connect with and help our local communities
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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