AI Solutions Architect

AI in this role

rag

A Career with Point72's Market Intelligence Team

On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to work with alternative data to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our sector data analysts, data scientists, data managers, and engineers work together to build compliant research products that are incorporated into the research process of our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.

WHAT YOU'LL DO

Act as a forward-deployed solution architect: partner with EMEA Pods and business groups to identify high-value AI use cases, understand research workflows, and shape practical solution designs. Use lightweight proof-of-concepts selectively to validate value before larger build decisions.
Be the bridge between EMEA teams and the firm’s AI resources: turn messy team signal into concrete product and platform asks, surface existing firm capabilities before teams reinvent them, and help firm-wide teams understand regional priorities.
Lead the enablement motion through teach-ins, prompt and tool literacy, and best-practice sharing, helping teams move beyond “AI is new and exciting” towards “AI is how we work.”
Provide the light-touch technical support that unblocks a team—such as a quick integration or precise bug report—without owning or maintaining core production systems.
Track adoption and impact with simple metrics, and feed what is working back to the teams building firm-wide capabilities.

WHAT'S REQUIRED

3+ years of experience in a client-facing product, solution-engineering, or forward-deployed role. Early-stage or startup experience—working directly with users and moving quickly—is a strong plus.
A solid grasp of AI, solution design, and engineering best practices, with the judgement to assess feasibility and shape sound solutions. Comfort with Python, modern LLM and agentic tooling—including model APIs, retrieval-augmented generation, and agents—and SQL/data is expected; hands-on engineering experience is a plus.
A bachelor’s degree; a STEM background or equivalent hands-on experience is preferred.
A track record of gathering requirements from non-technical users and translating them into solutions people actually adopt.
Genuine interest in financial markets and how investment research gets done.
Excellent communication and interpersonal skills, with the confidence to work closely with senior investment professionals.
Strong product instinct, bias to action, high energy, and comfort operating with ambiguity.
Commitment to the highest ethical standards.

WE TAKE CARE OF OUR PEOPLE

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

Private Medical and Dental Insurances
Generous parental and family leave policies
Volunteer opportunities
Support for employee-led affinity groups representing women, people of colour and the LGBQT+ community
Mental and physical wellness programmes
Tuition assistance
Non-contributory pension and more

ABOUT POINT72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com/.

How we rate this

AI Solutions Architect at Point72 rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RAG

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: RAG. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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