Production AI Engineer: From Prototypes to Enterprise Tools

Accenture; England; On-site; GBP 90,000 - 135,000; Full time

Job summary

Accenture's QuantAI team is seeking engineers who can transform quantitative AI concepts into enterprise-safe products, including interfaces, APIs, and desktop apps. The role spans cloud services and local desktop deployments, with a focus on governance, evaluation, and scalable, reusable patterns.

You will work closely with quants, implement RBAC, observability, and security, and help deliver robust production-grade workflows across AI and agentic systems. Strong consulting experience is valued.

Qualifications

• Bachelor's degree in computer science, engineering, mathematics, physics, economics, or a related field. An associate degree is acceptable with at least 2 additional years of directly relevant 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.
• 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

Responsibilities

• 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, 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.

Skills

Backend services

APIs

Full-stack delivery

Data pipelines

Model-serving

Agentic orchestration

Education

Bachelor's degree in computer science or related field

Tools

Backend services

Job description

Accenture's QuantAI team is seeking engineers who can transform quantitative AI concepts into enterprise-safe products, including interfaces, APIs, and desktop apps. The role spans cloud services and local desktop deployments, with a focus on governance, evaluation, and scalable, reusable patterns.

You will work closely with quants, implement RBAC, observability, and security, and help deliver robust production-grade workflows across AI and agentic systems. Strong consulting experience is valued.