About this role
<p><span style="font-size:12.0pt"><span style="font-family:Arial, Helvetica, sans-serif"><strong>What it's about</strong></span></span></p><p>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.</p> <p><strong> </strong></p> <p><strong>Key responsibilities</strong></p> <ul type="disc"> <li>Partner with business team to identify and prioritize high-impact AI use cases, including buy-vs-build recommendations.</li> <li>Design and deliver AI products end-to-end, from problem definition through prototype, pilot, and production handover.</li> <li>Build AI-powered solutions.</li> <li>Develop robust datasets along with retrieval and reasoning pipelines across different business functionalities.</li> <li>Integrate with vendor AI platforms and internal AI solutions, reusing existing capabilities where possible.</li> <li>Instrument solutions to track adoption, quality, business value, ROI, cost, and risk.</li> <li>Partner with technology team to ensure secure, compliant, auditable, and supportable solutions.</li> <li>Run rapid evaluation cycles and contribute reusable components, patterns, and tools for wider adoption.</li> </ul><style type="text/css"> .newspaper { h1 { font-size: 250%; font-family: Arial, Helvetica, sans-serif; } h2 { font-size: 200%; } p { font-size: 100%; } </style> <div class="newspaper"> </div> <div class="newspaper"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-size:12.0pt"><strong>What we expect</strong></span><br><ul type="disc"> <li>Bachelor's or Master's degree in Data Science, Computer Science, Artificial Intelligence / Machine Learning, Software Engineering, Quantitative Finance, or a related discipline</li> <li>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.</li> <li>Demonstrated experience (minimum 2 years) building and shipping ML/AI products in production environments, ideally with measurable business outcomes.</li> <li>AWS certification preferred, ideally AWS Certified Machine Learning Engineer – Associate</li> <li>Strong proficiency in a modern development language such as Python.</li> <li>Hands-on experience with modern databases and data platforms such as PostgreSQL, MS SQL, Snowflake, or comparable technologies.</li> <li>Strong hands-on engineering ability to deliver LLM applications end-to-end (e.g., Python, APIs, system integration, testing, deployment readiness).</li> <li>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.</li> <li>Familiarity with the software development lifecycle, version control systems, and modern DevOps practices.</li> <li>Ability to translate ambiguous business problems into product scopes, roadmaps, and iteration plans with clear success metrics and value gates.</li> <li>Comfortable working with sensitive/confidential data and partnering with governance, risk, and security stakeholders to embed controls from the start.</li> <li>Strong collaboration and communication skills—able to work embedded within business teams and cross-functionally with other technology teams.</li> <li>Driven, self-starter, inclusive, team-oriented mindset</li> </ul></span></div> <div class="newspaper"> </div> <div class="newspaper"><span style="font-family:Arial, Helvetica, sans-serif"><span style="font-size:12.0pt"><strong>What we offer</strong></span></span></div> <div class="newspaper"><span style="font-family:Arial, Helvetica, sans-serif"><p>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.<br>We offer you a fantastic opportunity for you to grow:</p> <ul style="list-style-type:none"> <li style="list-style-type:disc">Professional, international working environment</li> <li style="list-style-type:disc">Challenging, rewarding career within a growing company</li> <li style="list-style-type:disc">Collaborative environment, with on-the-job training and mentorship opportunities</li> <li style="list-style-type:disc">25 vacation days</li> <li style="list-style-type:disc">One-month sabbatical after every five years of service</li> <li style="list-style-type:disc">Lunch stipend</li> <li style="list-style-type:disc">Fun office and team events, including volunteer opportunities to connect with and help our local communities</li> </ul></span><br> </div> <p style="text-align:justify"><span style="font-family:Arial, Helvetica, sans-serif;font-size:12.0pt">www.partnersgroup.com</span></p> <p> </p> <p> </p> <hr> <p><span style="font-family:Arial, Helvetica, sans-serif;font-size:12.0pt">Please be aware, fraudsters may pose as Partners Group recruiters. All g<span style="color:#000000">enuine representatives can be identified by a verified sign on their LinkedIn profiles. If you suspect fraud or have doubts, contact us immediately at </span><a href="mailto:[email protected]?subject=HELP%20FRAUDULENT%20ACTIVITY"><span style="color:#000000">[email protected]</span></a></span></p> <p style="text-align:justify"> </p> <p> </p> <p> </p>