Execute Architecture & Re‑Architecture
Act as a principal architect and execution lead for GenAI and agentic capabilities spanning multiple portfolios.
Identify architectural bottlenecks in existing solutions and lead their redesign into modular, reusable components (agents, tools, evaluation modules, guardrails, observability layers).
Design and validate reference architectures for agentic workflows, including tool use, orchestration, memory, and failure recovery patterns.
Translate architectural intent into working code, templates, and patterns that teams can directly adopt.
Reduce build‑to‑production cycle time by standardizing abstractions, interfaces, and evaluation pipelines.
Establish and evangelize “build once, reuse many” principles across GenAI and advanced analytics use cases.
Personally design, prototype, and validate agentic and GenAI architectural spikes.
Review and challenge system designs and implementations produced by senior engineers and data scientists.
Define reusable LLM and agent evaluation frameworks covering quality, hallucination, robustness, bias, cost, and latency.
Partner closely with Technology, Product, and Model Risk to ensure architectures are explainable, auditable, and scalable under regulatory scrutiny.

Requirements

10+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
8+ years of experience designing and delivering advanced analytics, ML, or AI systems.
Demonstrated experience re‑architecting existing systems for modularity, reuse, and speed.
Advanced proficiency in Python and modern AI/ML engineering practices.
Proven ability to operate as a hands‑on architectural authority without formal people management.
Experience designing or contributing to internal AI platforms or developer frameworks.
Deep exposure to agentic AI systems, LLM evaluation, and reliability engineering.
Experience operating in regulated industries.
Prior exposure to hyperscale or hyperscale‑adjacent engineering practices (strong plus)

Benefits

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonQuantitative AnalyticsAI systemsML systemsmodularityreusabilityarchitectural designevaluation frameworksagentic AI systemsreliability engineering

Soft Skills

leadershipcommunicationproblem-solvingcollaborationcritical thinkinginnovationadaptabilitymentorshiparchitectural authorityevangelism