AI Solutions Architect - Frontline Enablement (EMEA)

Point72 Asset Management, L.P; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Private Medical and Dental Insurance

Generous parental and family leave

Volunteer opportunities

Mental and physical wellness programs

Tuition assistance

Non-contributory pension

Job summary

Point72 Asset Management, L.P. invites a forward-deployed solution architect to collaborate with EMEA pods and business groups, converting non-technical inputs into practical AI-powered product and platform requests.

You’ll enable teams with tooling literacy, drive adoption, and work closely with investment professionals to align research workflows with firm-wide capabilities. The role emphasizes strong communication, calculus of feasibility, and an ethics-first approach, with a focus on Python,

Qualifications

• 3+ years in a client-facing product, solution-engineering, or forward-deployed role.

Responsibilities

• Act as a forward-deployed solution architect: identify high-value AI use cases and shape practical designs.
• Bridge between EMEA teams and firm AI resources; surface capabilities and regional priorities.
• Lead enablement through teach-ins, prompt and tool literacy, and best-practice sharing.
• Provide light-touch technical support to unblock teams without owning core production systems.
• Track adoption and impact with simple metrics and report back to firm-wide teams.

Skills

Python

SQL

LLM tooling

Product discovery

Stakeholder communication

Education

Bachelor’s degree in STEM

Tools

LLM APIs

Retrieval-Augmented Generation

Job description

Point72 Asset Management, L.P. invites a forward-deployed solution architect to collaborate with EMEA pods and business groups, converting non-technical inputs into practical AI-powered product and platform requests.

You’ll enable teams with tooling literacy, drive adoption, and work closely with investment professionals to align research workflows with firm-wide capabilities. The role emphasizes strong communication, calculus of feasibility, and an ethics-first approach, with a focus on Python,