位于上海市, c23的 14 个优质sr. data platform engineer, emerging technology solutions职位（正在招聘！）

Forward Deployed AI Manager
Accenture —上海市
- 全职
11天
Engineering Manager, Data Services, IS&T Ai & Data Platforms
Apple —上海市
Account Manager
RELX —上海市
- 全职
7 小时
AI Transformation – AI Portfolio and Product
l'Oréal —上海市
- 全职
快速申请
2 小时
Senior Manager, SRE
Tapestry Inc —上海市
- 全职
Inspections Superintendent
RightShip —上海市
快速申请
Senior Corporate Strategy Analyst
TE Connectivity —上海市
汽车软件与AI解决方案销售_ETAS
Bosch Group —上海市
快速申请
Manager, TechOps / Site Reliability Engineering
Apple —上海市
7天
Senior Architect/资深架构师
Merck KGaA —上海市
7天
Senior Applied Scientist, Large Language Models
Patsnap —上海市
- 全职
快速申请
11天
Senior Financial Analyst, Global Logistics, Global Logistic Finance
Beijing Century Joyo Courier Service Co., Ltd. —上海市
- 全职
计算机视觉科学家 (边缘计算与智能家居)_CR
Bosch Group —上海市
- 全职
快速申请
Hardware System Architect
Celestica —上海市

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Forward Deployed AI Manager

Accenture -
上海市

立即申请

职位详情

全职
11 天前

完整职位描述

Role Description

This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments. You own outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes.

The market is beginning to understand what leading technology companies have demonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot and an AI capability that scales is bridged by engineers who can translate platform capability into measurable business value inside a real enterprise environment. That is this role.

Forward Deployed AI Engineers form the execution spine of our Reinvention Deployment Engineering pods. We are building the largest FDE capability in the services industry. The engineers who join at this stage will define what the role looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry.

Key Responsibilities

Lead enterprise AI platform deployments across complex multi-stakeholder client environments — Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — owning the full programmed from architecture through adoption
Own programmed-level delivery outcomes: time-to-value, reliability, adoption velocity, and scalability across multiple concurrent workstreams, with commercial metrics attached
Lead rapid experimentation at pace: drive ambiguous business problems to working production systems in days or weeks across complex enterprise environments
Architect and govern enterprise AI solutions across the full technology stack: identity, data, security, governance, platform layer, and multi-system workflow integration at programmed scale
Shape AI reinvention strategy for client CTO, CFO, and CISO: build value architecture, ROI backlogs, use case prioritization frameworks, and multi-year AI adoption roadmaps
Define and publish reusable reinvention blueprints, patterns, and accelerators that scale across multiple client engagements and grow the FDE practice
Lead architecture design sessions, executive workshops, and code-with sessions with client engineering and C-suite leadership teams
Codify delivery learnings, failure patterns, and engineering standards that shape the FDE practice and enable the next generation of forward deployed engineers

Basic Qualifications

8-10 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
Minimum of 1 years of deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
Minimum of 7 years of experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
8-10 years of experience leading software engineering teams: overseeing delivery, allocating resources across workstreams, and owning the professional development of direct reports"
Demonstrated end-to-end delivery ownership in a client-embedded environment, internal projects, vendor labs, or team-only deployments do not qualify
Proven ability to articulate business value: can quantify the impact of deployments in terms a CFO would recognize and act on
Experience presenting to and building trust with senior client stakeholders, CTO, CFO, or CISO level
Non-linear profiles are expected and welcomed, assessment is based on demonstrated deployment experience and outcome ownership, not CV pattern matching
People lead responsibilities: experience managing, developing, and performance-managing a team of engineers; setting individual development plans and conducting career conversations

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在上海市, c23的sr. data platform engineer, emerging technology solutions个职位

Forward Deployed AI Manager

Engineering Manager, Data Services, IS&T Ai & Data Platforms

Account Manager

AI Transformation – AI Portfolio and Product

Senior Manager, SRE

Inspections Superintendent

Senior Corporate Strategy Analyst

汽车软件与AI解决方案销售_ETAS

Manager, TechOps / Site Reliability Engineering

Senior Architect/资深架构师

Senior Applied Scientist, Large Language Models

Senior Financial Analyst, Global Logistics, Global Logistic Finance

计算机视觉科学家 (边缘计算与智能家居)_CR

Hardware System Architect

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在上海市, c23的sr. data platform engineer, emerging technology solutions个职位

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