AI产品解决方案架构师-北京/深圳
Tencent
AI产品解决方案架构师-北京/深圳
Job Description
AI产品解决方案架构师-北京/深圳
📋 Job Overview
The AI Product Solutions Architect role at Tencent involves leading the commercialization of AI products and solutions in industries such as finance, consumer electronics, and media. The position focuses on managing the full pre-sales technical process, including requirements analysis, solution design, technical demonstrations, and POCs, while providing feasible implementation paths using AI technology stacks. Additionally, it entails achieving performance targets through collaboration with sales, product, and delivery teams, optimizing solutions with advanced technologies like large models and deep learning, and driving product iterations based on customer needs and trends.
📍 Location: Shanghai, China
🏢 Business Unit: CSIG
📄 Full Description
2.承担AI产品在金融/消费电子/传媒等行业的业绩目标，协同销售、产品、交付团队制定产品驱动的商业化策略，推动目标达成；
3.分析AI产品与业务场景的契合点，结合大模型、深度学习等技术优化解决方案，提升产品竞争力与营收增长；
4.协助产品迭代，基于客户需求与技术趋势（如Agent框架、分布式训练优化等）综合判断，输出产品升级优化方案，推动产品竞争力提升。
🎯 Key Responsibilities
- Responsible for the commercialization of AI products and solutions in industries like finance, consumer electronics, and media, leading the full pre-sales technical process (requirements analysis, solution design, technical demonstrations, POC, etc.), and providing feasible technical implementation paths combined with AI technology stacks.
- Accountable for achieving performance targets of AI products in industries such as finance, consumer electronics, and media, collaborating with sales, product, and delivery teams to formulate product-driven commercialization strategies and promote goal achievement.
- Analyze the fit between AI products and business scenarios, optimize solutions using technologies like large models and deep learning to enhance product competitiveness and revenue growth.
- Assist in product iterations, comprehensively judge based on customer needs and technical trends (such as Agent frameworks, distributed training optimization, etc.), output product upgrade and optimization schemes, and promote the enhancement of product competitiveness.
🛠️ Required Skills
- AI technology stack expertise
- Large models and deep learning
- Agent frameworks
- Distributed training optimization
- Pre-sales technical processes (demand analysis, solution design, technical demos, POC)
- Commercialization strategy formulation
- Cross-team collaboration (sales, product, delivery)
Locations
- Shanghai, China
Salary
800,000 - 1,500,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI technology stack expertiseintermediate
- Large models and deep learningintermediate
- Agent frameworksintermediate
- Distributed training optimizationintermediate
- Pre-sales technical processes (demand analysis, solution design, technical demos, POC)intermediate
- Commercialization strategy formulationintermediate
- Cross-team collaboration (sales, product, delivery)intermediate
Responsibilities
- Responsible for the commercialization of AI products and solutions in industries like finance, consumer electronics, and media, leading the full pre-sales technical process (requirements analysis, solution design, technical demonstrations, POC, etc.), and providing feasible technical implementation paths combined with AI technology stacks.
- Accountable for achieving performance targets of AI products in industries such as finance, consumer electronics, and media, collaborating with sales, product, and delivery teams to formulate product-driven commercialization strategies and promote goal achievement.
- Analyze the fit between AI products and business scenarios, optimize solutions using technologies like large models and deep learning to enhance product competitiveness and revenue growth.
- Assist in product iterations, comprehensively judge based on customer needs and technical trends (such as Agent frameworks, distributed training optimization, etc.), output product upgrade and optimization schemes, and promote the enhancement of product competitiveness.
Tags & Categories
Answer 10 quick questions to check your fit for AI产品解决方案架构师-北京/深圳 @ Tencent.
Related Books and Jobs
AI产品解决方案架构师-北京/深圳
Tencent
AI产品解决方案架构师-北京/深圳
Job Description
AI产品解决方案架构师-北京/深圳
📋 Job Overview
The AI Product Solutions Architect role at Tencent involves leading the commercialization of AI products and solutions in industries such as finance, consumer electronics, and media. The position focuses on managing the full pre-sales technical process, including requirements analysis, solution design, technical demonstrations, and POCs, while providing feasible implementation paths using AI technology stacks. Additionally, it entails achieving performance targets through collaboration with sales, product, and delivery teams, optimizing solutions with advanced technologies like large models and deep learning, and driving product iterations based on customer needs and trends.
📍 Location: Shanghai, China
🏢 Business Unit: CSIG
📄 Full Description
2.承担AI产品在金融/消费电子/传媒等行业的业绩目标，协同销售、产品、交付团队制定产品驱动的商业化策略，推动目标达成；
3.分析AI产品与业务场景的契合点，结合大模型、深度学习等技术优化解决方案，提升产品竞争力与营收增长；
4.协助产品迭代，基于客户需求与技术趋势（如Agent框架、分布式训练优化等）综合判断，输出产品升级优化方案，推动产品竞争力提升。
🎯 Key Responsibilities
- Responsible for the commercialization of AI products and solutions in industries like finance, consumer electronics, and media, leading the full pre-sales technical process (requirements analysis, solution design, technical demonstrations, POC, etc.), and providing feasible technical implementation paths combined with AI technology stacks.
- Accountable for achieving performance targets of AI products in industries such as finance, consumer electronics, and media, collaborating with sales, product, and delivery teams to formulate product-driven commercialization strategies and promote goal achievement.
- Analyze the fit between AI products and business scenarios, optimize solutions using technologies like large models and deep learning to enhance product competitiveness and revenue growth.
- Assist in product iterations, comprehensively judge based on customer needs and technical trends (such as Agent frameworks, distributed training optimization, etc.), output product upgrade and optimization schemes, and promote the enhancement of product competitiveness.
🛠️ Required Skills
- AI technology stack expertise
- Large models and deep learning
- Agent frameworks
- Distributed training optimization
- Pre-sales technical processes (demand analysis, solution design, technical demos, POC)
- Commercialization strategy formulation
- Cross-team collaboration (sales, product, delivery)
Locations
- Shanghai, China
Salary
800,000 - 1,500,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI technology stack expertiseintermediate
- Large models and deep learningintermediate
- Agent frameworksintermediate
- Distributed training optimizationintermediate
- Pre-sales technical processes (demand analysis, solution design, technical demos, POC)intermediate
- Commercialization strategy formulationintermediate
- Cross-team collaboration (sales, product, delivery)intermediate
Responsibilities
- Responsible for the commercialization of AI products and solutions in industries like finance, consumer electronics, and media, leading the full pre-sales technical process (requirements analysis, solution design, technical demonstrations, POC, etc.), and providing feasible technical implementation paths combined with AI technology stacks.
- Accountable for achieving performance targets of AI products in industries such as finance, consumer electronics, and media, collaborating with sales, product, and delivery teams to formulate product-driven commercialization strategies and promote goal achievement.
- Analyze the fit between AI products and business scenarios, optimize solutions using technologies like large models and deep learning to enhance product competitiveness and revenue growth.
- Assist in product iterations, comprehensively judge based on customer needs and technical trends (such as Agent frameworks, distributed training optimization, etc.), output product upgrade and optimization schemes, and promote the enhancement of product competitiveness.
Tags & Categories
Answer 10 quick questions to check your fit for AI产品解决方案架构师-北京/深圳 @ Tencent.
Related Books and Jobs