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QuantAI Engineer – Trading, Investment & Optimization
AccentureQuantAI Engineer developing AI-native decision systems for energy and trading applications in a hybrid work environment. Collaborating with small teams and senior stakeholders to build enterprise-ready products.
Posted 5/29/2026full-timeSeattle • California, Colorado, District of Columbia, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Texas, Virginia, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $70,350 - $188,100 per yearWebsite
Tech Stack
Tools & technologiesCloudDockerElectronJavaScriptPythonTypeScript
About the role
Key responsibilities & impact- Turn quantitative prototypes into reusable tools, services, packaged desktop applications, interfaces, and workflow products that can move from internal demo to client pilot to scaled offer.
- Ship across both cloud-hosted services and locally distributed desktop applications, including Electron-based apps when the workflow or client environment calls for it.
- Build enterprise hardening into the productization layer, including authentication, role-based access control (RBAC), observability, security, release quality, cost controls, and deployment discipline.
- Build evaluation, regression, and release discipline into the productization layer so model logic and agent behavior remain measurable as systems change.
- Work closely with the quant lead so model logic, evaluation intent, and governance requirements survive the move into production.
- Make pragmatic architecture choices across large language models (LLMs), deterministic rules, and hybrid systems based on value, latency, cost, and reliability.
- Help shape repeatable build patterns so strong prototypes become faster, more reliable, and more reusable over time.
Requirements
What you’ll need- Bachelor's degree in computer science, engineering, mathematics, physics, economics, or a related field
- An associate degree is acceptable with a minimum of 2 additional years of experience and clear evidence of shipped engineering work
- Minimum 3 years of experience in consulting or other client-facing technical delivery roles, with evidence that you have helped move products, internal tools, or workflow systems beyond proof-of-concept stage
- Minimum 3 years of hands-on experience in one or more of the following areas: backend services, APIs and integrations, full-stack delivery, data pipelines, model-serving or machine learning workflows, or agentic orchestration systems.
- Strong coding ability in Python plus one complementary engineering surface such as TypeScript or JavaScript, front-end delivery, cloud or platform engineering, or infrastructure automation.
- Sound engineering judgment around enterprise hardening and evaluation, including experience with several of the following: authentication, role-based access control (RBAC), observability, security, release discipline, regression testing, or experiment frameworks for AI, machine learning, or agentic workflows.
- Experience with tools and platforms commonly used in this work, such as Electron, FastAPI, Docker, cloud services, evaluation tooling, agent orchestration frameworks, or MCP-style integrations.
- Experience building expert-facing interfaces, workflow products, technical demos, packaged desktop applications, or Windows-heavy enterprise deployments.
- Exposure to forecasting, anomaly detection, optimization, time-series systems, or other decision-support workflows.
- Experience in energy, commodities, financial, trading, market operations, or industrial workflows.
Benefits
Comp & perks- medical, dental, vision, life, and long-term disability coverage
- 401(k) plan
- bonus opportunities
- paid holidays
- paid time off
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonTypeScriptJavaScriptbackend servicesAPIsdata pipelinesmodel-servingmachine learning workflowsenterprise hardeningregression testing
Soft Skills
engineering judgmentclient-facing deliverycollaborationpragmatic architecture choicesproblem-solvingcommunication
Certifications
Bachelor's degree in computer scienceBachelor's degree in engineeringBachelor's degree in mathematicsBachelor's degree in physicsBachelor's degree in economics