Forward Deployed Engineer, AI Engineer

Role Overview

• 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.

Requirements

• 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

Tech Stack

• AWS
• Postgres
• Python
• SQL

Benefits

• 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