Job Description
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.
What we expect
- 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
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 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 g enuine 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
