Software Engineering & Development, AVP
State Street —杭州市
- 全职
CQC Assessor
Fortrea —杭州市
- 全职
2天
Sales Development Representative, SME & Growth
Airwallex —杭州市
- 全职
ELDS Sales Specialist - Industry & Infrastructure
ABB (China) Ltd. Shanghai Branch —杭州市
快速申请
9天
CAPA专员
Abbott Laboratories —杭州市
- 全职
System Performance Developer
ZF —杭州市
1天
Sales Specialist
ABB (China) Ltd. Hangzhou Branch —杭州市
快速申请
Senior Insurance Specialist
HSBC Global Services Limited —宁波市
- 全职
10天
Project Engineer
B&R Industrial Automation (China) Co., Ltd Ningbo Branch —宁波市
快速申请
1天
Cockpit AI Multimodal Architect
Renault Group —杭州市
- 全职
Production Engineer
DuPont —宁波市
2天
Smart Hardware Product Expert
Hyphen Connect —杭州市
快速申请
8天
Inventory & Supply Chain Operations Specialist
Catch Creation, LLC —杭州市
快速申请
TikTok Shop Creator Partnerships Representatives
Catch Creation, LLC —杭州市
快速申请

More jobs to discover

Find similar jobs that you might be interested in.

CQC Assessor
Fortrea —杭州市
The Senior Process Associate, China Clinical Trial Management Office (CCTMO) provides country support to the country head of Clinical Trial Operations, to…
2天

我想收到关于浙江省的 data lead 的最新职位提醒

一旦登录您的账户，即表明您同意 SimplyHired 的服务条款和我们的Cookie 协议及隐私政策。

查看更多地区的职位

data lead jobs near 浙江省

位于天津市的Semiconductor Engineer职位

位于苏州市的Test Engineer职位

位于江苏省的Tooling Engineer职位

位于衡阳市祁东县的Project Engineer职位

位于深圳市的Technical Support Engineer职位

位于成都市金牛区的Data Engineer职位

位于长治市的Maintenance Engineer职位

位于上海市的Sales Engineer职位

位于上海市长宁区的Sales Representative职位

位于长沙市的Sales Representative职位

位于上海市的销售经理 Sales Manager职位

位于上海市的Sales Representative职位

位于上海市的Ai Product Specialist职位

位于上海市的New Business Specialist职位

位于武汉市武昌区的Specialist职位

位于深圳市的Sourcing Order Specialist职位

位于江苏省的C++ Ai职位

位于深圳市的Ai职位

位于成都市的Ai职位

位于深圳市光明新区的Supply Chain Manager职位

Software Engineering & Development, AVP

State Street -
杭州市

立即申请

职位详情

全职

完整职位描述

Who we are looking for

We are seeking a skilled Gen AI Developer with deep hands-on engineering expertise and proven leadership experience building production-grade AI systems. The ideal candidate combines strong software engineering fundamentals with modern AI/ML capabilities ( specifically LLM-based applications), and can drive teams to deliver reliable, secure, and scalable AI products that create measurable business impact.

In this role, you will own the end-to-end design and delivery of AI solutions—from problem framing and model selection to deployment, monitoring, and continuous improvement. You will lead & work with engineering teams on architecture and implementation choices, establish best practices for MLOps and AI governance, and ensure solutions meet performance, reliability, privacy, and compliance requirements while aligning with business strategy.

What you will be responsible for

· Lead end-to-end development of AI features and services (LLM, NLP, CV, predictive ML) from prototyping to production, aligned to clear product outcomes and KPIs.

· Review and govern AI solution designs to ensure correctness, robustness, security, and responsible-AI compliance (bias, toxicity, hallucination risk, data leakage).

· Partner with product and engineering teams to translate business problems into AI solution approaches (build vs buy, model choice, data needs, evaluation strategy) and executable delivery plans.

· Lead and scale high-performing AI engineering teams delivering multiple initiatives in parallel (AI-enabled applications, internal platforms, and developer tooling).

· Identify AI-specific risks (data quality, drift, adversarial use, hallucinations, latency/cost) and implement mitigation strategies throughout the delivery lifecycle.

· Promote automation and engineering excellence (CI/CD for ML, automated evaluation, red-teaming, monitoring/alerting, and cost/performance optimization) to improve quality and velocity.

· Collaborate closely with product, data, security, legal/compliance, and global engineering teams to align on AI use cases, constraints, and delivery expectations.

· Coordinate architecture and delivery plans across multiple parallel AI initiatives (e.g., GenAI assistants, search/RAG, personalization, fraud/risk models, automation).

· Work with platform teams to ensure reusable AI components and consistent patterns (prompt orchestration, retrieval, model gateways, feature management, observability) across the portfolio.

· Act as a trusted technical advisor on AI strategy, platform choices, vendor/partner decisions, and responsible AI governance.

· Explore, evaluate, and introduce AI technologies where they add clear business value (models, frameworks, orchestration tools, data platforms), balancing performance, cost, and risk.

· Continuously improve AI development lifecycle practices (data/versioning, evaluation, deployment, monitoring, incident response) and governance models.

· Mentor AI engineers and applied scientists, strengthening engineering rigor, model quality, and responsible-AI maturity.

What we value

Strong sense of ownership and accountability for AI outcomes, production reliability, and responsible-AI risk management.

Ability to think strategically about AI adoption while remaining hands-on when needed (design reviews, critical debugging, and technical decision making).

Pragmatic problem-solving skills with a focus on shipping AI capabilities safely, iterating quickly with evidence, and delivering business value.

A collaborative mindset and the ability to influence across product, engineering, data, and risk/compliance stakeholders without relying on formal authority.

Education & Preferred Qualifications

· Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or a related field (or equivalent practical experience).

· 8 + years of experience in software engineering, including significant leadership experience delivering AI/ML systems in production at scale.

· Strong software engineering fundamentals (distributed systems, APIs, data structures) and proficiency with modern AI development stacks (Python plus one of Java/Go/C++), including strong code quality practices.

· Proven experience building and operating AI/ML workloads on public cloud platforms (AWS/Azure/GCP), including scalable model training and low-latency inference deployment.

· Solid experience with data platforms and pipelines (e.g., Databricks, Snowflake, Spark) and familiarity with vector search / embeddings for retrieval-based AI solutions.

· Deep understanding of modern engineering practices and MLOps (CI/CD, testing, experiment tracking, model/version management, monitoring, incident management).

· Experience working in global or distributed teams across different regions and time zones.

· Strong communication skills in English and Chinese, including the ability to present complex AI topics and decisions to senior stakeholders.

· Demonstrated experience with Responsible AI practices and governance (privacy, security, bias/fairness, content safety, auditability, and regulatory compliance).

· Hands-on experience with LLM/GenAI application development (prompting, RAG, Agents, tool/function calling), model evaluation, and production observability.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Discover more information on jobs at StateStreet.com/careers

Read our CEO Statement

立即申请

完善您的搜索

在浙江省的data lead个职位