Product Solution Architect, Data & AI Solutions - Singapore

The role

We are seeking a Product Solution Architect with deep technical expertise, industry insight, and a global mindset to join the Data Enterprise Solutions team at Volcano Engine, ByteDance's cloud and AI service platform.

All jobs

Product Solution Architect, Data & AI Solutions - Singapore

ByteDance, Singapore

Posted pay

Pay not posted

Location: Singapore
Work type: Not given
Level: Not given
Experience: 5+ years
Skills in the job text: Python
Posted: Not given
Last check: 2 days ago
Job type: Solutions engineering

Apply on the ByteDance site Make a résumé and a cover letter for this job Sign in to save

The ByteDance site opens in a new tab.

ByteDance

Open tech jobs: 702
With posted pay: 2%
Median posted base: $187K–$317K

About ByteDance: funding, hiring and pay

ByteDance

About ByteDance: funding, hiring and pay

Company facts

Money raised: $4BSum of funding rounds on record
Newest round: Funding roundOct 26, 2018

Funding records can have errors and can be missing. The company page has the links.

Interview questions

No one has reported an interview at ByteDance yet. Did you interview there? Add the questions.

Check my fit

Compare your résumé with this job. See where you match, what is missing and which lines to change.

Make a résumé and a cover letter for this job

Paste your résumé, or use the résumé on your profile.
Get the résumé as a PDF and the letter as text. We use only the facts in your résumé.
Apply on the ByteDance site.

Open the apply kit

The role

What you will do

Industry-Focused Data + AI Solution Architecture Design: Lead end-to-end solution architecture design across the full stack, from data infrastructure and multimodal data processing pipelines to enterprise AI agent applications, for customers across industries such as internet, media, finance, automotive, retail, government, and manufacturing. Translate customer pain points into reusable industry solution patterns, and develop standardized solution whitepapers, reference architectures, and best practices.
Key Account Pre-sales and Technical Consulting: Partner closely with sales teams to support strategic accounts through executive-level (CxO) technical engagement, including requirements discovery, solution workshops, architecture reviews, technical deep dives, POC design, and product demonstrations. Independently develop technical proposals, solution design documents, feasibility assessments, and RFP/RFI responses. Deliver clear and fluent English presentations and technical discussions with global customers and stakeholders.
Prototype Development and POC Validation: Serve as the primary technical owner for building and validating prototypes, demos, and proof-of-concepts across multiple AI and data scenarios. Rapidly translate customer requirements into working technical solutions, validate feasibility and business value, and provide actionable recommendations for production rollout.
Multimodal AI and Operator Workflow Scenarios: Design, build, and validate multimodal AI workflows for use cases such as audio/video understanding, intelligent editing, speech-to-text, document parsing, ad creative generation, video translation, video enhancement and restoration, and image generation. Develop a strong understanding of operator capability boundaries, workflow composition, and orchestration logic to support scalable automated content production pipelines.
Enterprise AI Agent Scenarios: Build and validate enterprise AI agent solutions, including RAG-based knowledge assistants, NL2SQL analytics agents, NL2Pipeline data workflow generation, and multi-agent collaboration/orchestration systems. Drive solution design with a strong understanding of enterprise use cases, system integration patterns, and production-readiness requirements.
Data Platform and Analytics Scenarios: Design and implement solutions related to data integration, data governance, BI dashboarding, and growth analytics. Support customers in building structured data foundations, defining event tracking frameworks, and enabling data-driven business insights through scalable analytics solutions.
Technical Delivery and Performance Optimization: Own the full lifecycle of AI application implementation, from model selection and prompt engineering to RAG architecture design, agent development, evaluation, and continuous optimization. Hands-on experience should include embedding optimization, reranking strategy design, hybrid retrieval, vector database selection, and scenario-level performance tuning. Ensure technical solutions can move beyond prototype stage into production deployment and continuously generate measurable business value.
Product Feedback and Ecosystem Collaboration: Capture customer requirements and frontline feedback, and translate them into actionable product and technical input to shape roadmap evolution. Drive improvements in operator capabilities, agent product features, and cross-product integration. Partner closely with product, engineering, and algorithm teams to support strategic benchmark projects and improve overall solution competitiveness.
Industry Knowledge Building and Scalable Replication: Distill project learnings into reusable industry playbooks, SOPs, solution templates, case studies, and best practices to improve repeatability and scale. Enable sales teams and solution architects through training and mentorship, and contribute to market intelligence, objection handling frameworks, and industry-facing solution narratives.

Product Solution Architect, Data & AI Solutions - Singapore

The role

Product Solution Architect, Data & AI Solutions - Singapore

The role

What you will do

What you need

Nice to have

Similar jobs at other companies

Sr. Specialist Solutions Architect (AI/ML)

AI Solution Architect (R-19393)

Chief Solution Architect (Pre-sales, AI + Data Transformation)

AI Solutions Architect | US

Senior Solution Engineer (Expansion)

Senior Solutions Architect

Interview questions

Company facts

ByteDance