About this role
About the Role QuantAI sits between quantitative research, agentic engineering, product delivery, and client-facing transformation inside Accenture's Industry and Enterprise Reinvention. The work is small-team, high-ownership, and close to senior stakeholders. QuantAI builds AI-native decision systems for energy, commodities, power, utilities, trading, financial, and industrial operations. The role is to turn strong quantitative and AI work into enterprise-ready products: interfaces, packaged desktop applications, APIs, services, and workflows that are credible for pilots and durable for scaled delivery. This engineer-first, shipping-first role spans conventional systems and agent-assisted systems; you should be able to operate across both, though you will likely lead with one. What You'll Do
- 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 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.
- Platforms and interfaces: Own data flows, APIs, services, model-serving surfaces, front-end and desktop application surfaces, CI/CD, and demo hardening.
- Agent-assisted systems: Own the agentic harness layer — evaluation frameworks, reviewer loops, control-plane behavior, orchestration, and tool integration — that applications and MCPs wrap around. Design opinionated harnesses that expose through MCP or similar integration patterns without overfitting to one vendor or one moment in the tooling market. What We're Looking For
- 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 (list truncated in source). Nice to Have
- Not specified in posting.