E-Commerce H-1B1 Singapore Sponsorship Jobs in Illinois
H-1B1 Singapore visa sponsorship e-commerce jobs in Illinois are concentrated in the Chicago metro, where companies like Groupon, Grubhub, and a growing number of direct-to-consumer brands maintain engineering, product, and marketplace operations. Illinois's position as a Midwest logistics and tech hub makes it an active market for Singaporean professionals in online retail and digital commerce roles.
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Get Access To All JobsAbout the Role
The AI Knowledge Architect (customer support) role sits within the Global Digital Experience (GDX) team and is responsible for building and maintaining the knowledge portion of the brain of our customer-facing AI agents. You will develop the knowledge needed by LLMs to craft empathetic responses, design conversational logic, and provide business context that allow our AI agents to respond against complex customer problems autonomously. You will be the connector between expressed customer requests, support policies and customer data and convert these into intuitive, empathetic and brand-aligned AI responses.
Your role requires a combination of skills - precision of a Technical Writer, empathy of a UX Designer, and the logic of a Prompt Engineer. Your role starts with writing articles but extends to structuring knowledge so an AI agent can reason, retrieve, and act upon it accurately.
This role sits at the intersection of Community Operations (CommOps) and Customer Obsession (CO) Product. You will work closely with CommOps frontline teams to deeply understand their customer requirements and collaborate with engineering and product teams to build knowledge that optimizes segmented customer experience.
What the Candidate Will Do
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AI Knowledge authoring: Author and structure prompt-aware content for AI agents to ensure the AI provides accurate, empathetic responses without hallucinations. Decide where the AI does not need any additional content, where it needs some context, where it can pull data from upstream systems for context and where it needs a lot of details, and tailor knowledge accordingly. Incorporate tribal knowledge from various parts of Uber into the knowledge base to ensure the AI agents are able to respond to customer queries effectively.
-
AI Information architecture: Ensure the content provided to the AI agents are relevant, accurate, updated, non-conflicting and succinct. Identify gaps in content leading to AI agents not being able to help customers or providing wrong responses and fix those quickly. Ensure easy knowledge access for AI agents (e.g., clean up metadata where needed, improve vector match probabilities, decide how to chunk knowledge so that retrieval is highly accurate and efficient from a latency and cost perspective).
-
AI Performance Tuning and standards improvement: Analyze failed AI conversations to identify knowledge gaps, then update documentation or metadata to improve future performance. Use your knowledge of the Tech stack to ensure retrieval accuracy is high and AI responses are crafted according to segmentation requirements and decision logic. Provide feedback to the Global Content team to improve content standards in case they are hindering the delivery of good responses.
-
Product Thinking: Provide feedback to product and Engineering teams to improve prompts to effectively leverage AI knowledge and on platform enhancements needed for authoring effective AI knowledge. Operate in an agile fashion to adapt knowledge to Technology and product advancements in a rapidly changing AI ecosystem.
-
Experiment with Knowledge options: Lead the product and use case evolution to better response patterns by experimenting with options to decide what amount of deterministic knowledge inputs is necessary and where to depend on LLM reasoning.
-
Cross-functional Partnership: Engage deeply with CommOps teams to identify customer experience needs and usability requirements for AI agents and address them through knowledge improvements. Engage with the Global Content team to ensure content standards, tone of voice and strategy is adhered to. Engage with Legal teams where relevant to get relevant approvals for the knowledge created.
Basic Qualifications
- 8+ years of experience in Technical Writing, Information Architecture, Conversation Design, or Product Operations
- 1+ year of demonstrated hands-on work with AI Knowledge
Preferred Qualifications
- Experience of working with leading LLMs (e.g., GPT-4, Claude, Gemini) and Gen AI concepts like RAG, Agentic AI, chain-of-thought prompting, decision flows, AI reasoning, etc.
- Excellent collaboration skills with both technical (e.g., product managers, engineers, data scientists, and UX teams) and non-technical stakeholders
- Systems thinking, especially ability to identify downstream implications of knowledge gaps and judgment around edge cases, ambiguity, and exception handling
- Strong business acumen and customer understanding; exposure to cognitive sciences is a plus
- Analytical mindset with attention to precision and clarity; ability to read latency and accuracy logs to see where the AI "got lost" in the knowledge base
- Understanding of semantic precision in the AI context
- Ability to thrive in a fast-paced, ambiguous environment
- Experience in Operations or program management is a plus
- Experience of working on human-computer interactions is a plus
- Exceptional verbal communication skills
- Familiarity with SQL, Python, JSON, etc. is a plus
Compensation
- For Chicago, IL-based roles: The base salary range for this role is USD$146,000 per year - USD$162,000 per year.
- For New York, NY-based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year.
- For San Francisco, CA-based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year.
- For Seattle, WA-based roles: The base salary range for this role is USD$146,000 per year - USD$162,000 per year.
- For Sunnyvale, CA-based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
About the Role
The AI Knowledge Architect (customer support) role sits within the Global Digital Experience (GDX) team and is responsible for building and maintaining the knowledge portion of the brain of our customer-facing AI agents. You will develop the knowledge needed by LLMs to craft empathetic responses, design conversational logic, and provide business context that allow our AI agents to respond against complex customer problems autonomously. You will be the connector between expressed customer requests, support policies and customer data and convert these into intuitive, empathetic and brand-aligned AI responses.
Your role requires a combination of skills - precision of a Technical Writer, empathy of a UX Designer, and the logic of a Prompt Engineer. Your role starts with writing articles but extends to structuring knowledge so an AI agent can reason, retrieve, and act upon it accurately.
This role sits at the intersection of Community Operations (CommOps) and Customer Obsession (CO) Product. You will work closely with CommOps frontline teams to deeply understand their customer requirements and collaborate with engineering and product teams to build knowledge that optimizes segmented customer experience.
What the Candidate Will Do
-
AI Knowledge authoring: Author and structure prompt-aware content for AI agents to ensure the AI provides accurate, empathetic responses without hallucinations. Decide where the AI does not need any additional content, where it needs some context, where it can pull data from upstream systems for context and where it needs a lot of details, and tailor knowledge accordingly. Incorporate tribal knowledge from various parts of Uber into the knowledge base to ensure the AI agents are able to respond to customer queries effectively.
-
AI Information architecture: Ensure the content provided to the AI agents are relevant, accurate, updated, non-conflicting and succinct. Identify gaps in content leading to AI agents not being able to help customers or providing wrong responses and fix those quickly. Ensure easy knowledge access for AI agents (e.g., clean up metadata where needed, improve vector match probabilities, decide how to chunk knowledge so that retrieval is highly accurate and efficient from a latency and cost perspective).
-
AI Performance Tuning and standards improvement: Analyze failed AI conversations to identify knowledge gaps, then update documentation or metadata to improve future performance. Use your knowledge of the Tech stack to ensure retrieval accuracy is high and AI responses are crafted according to segmentation requirements and decision logic. Provide feedback to the Global Content team to improve content standards in case they are hindering the delivery of good responses.
-
Product Thinking: Provide feedback to product and Engineering teams to improve prompts to effectively leverage AI knowledge and on platform enhancements needed for authoring effective AI knowledge. Operate in an agile fashion to adapt knowledge to Technology and product advancements in a rapidly changing AI ecosystem.
-
Experiment with Knowledge options: Lead the product and use case evolution to better response patterns by experimenting with options to decide what amount of deterministic knowledge inputs is necessary and where to depend on LLM reasoning.
-
Cross-functional Partnership: Engage deeply with CommOps teams to identify customer experience needs and usability requirements for AI agents and address them through knowledge improvements. Engage with the Global Content team to ensure content standards, tone of voice and strategy is adhered to. Engage with Legal teams where relevant to get relevant approvals for the knowledge created.
Basic Qualifications
- 8+ years of experience in Technical Writing, Information Architecture, Conversation Design, or Product Operations
- 1+ year of demonstrated hands-on work with AI Knowledge
Preferred Qualifications
- Experience of working with leading LLMs (e.g., GPT-4, Claude, Gemini) and Gen AI concepts like RAG, Agentic AI, chain-of-thought prompting, decision flows, AI reasoning, etc.
- Excellent collaboration skills with both technical (e.g., product managers, engineers, data scientists, and UX teams) and non-technical stakeholders
- Systems thinking, especially ability to identify downstream implications of knowledge gaps and judgment around edge cases, ambiguity, and exception handling
- Strong business acumen and customer understanding; exposure to cognitive sciences is a plus
- Analytical mindset with attention to precision and clarity; ability to read latency and accuracy logs to see where the AI "got lost" in the knowledge base
- Understanding of semantic precision in the AI context
- Ability to thrive in a fast-paced, ambiguous environment
- Experience in Operations or program management is a plus
- Experience of working on human-computer interactions is a plus
- Exceptional verbal communication skills
- Familiarity with SQL, Python, JSON, etc. is a plus
Compensation
- For Chicago, IL-based roles: The base salary range for this role is USD$146,000 per year - USD$162,000 per year.
- For New York, NY-based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year.
- For San Francisco, CA-based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year.
- For Seattle, WA-based roles: The base salary range for this role is USD$146,000 per year - USD$162,000 per year.
- For Sunnyvale, CA-based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
E-Commerce Job Roles in Illinois
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Search E-Commerce Jobs in IllinoisE-Commerce Jobs in Illinois: Frequently Asked Questions
Which e-commerce companies in Illinois sponsor H-1B1 Singapore visas?
Chicago-based e-commerce and marketplace employers with documented H-1B1 visa sponsorship activity include Groupon, Grubhub, and Uptake Technologies, as well as regional offices of larger platforms. Fulfillment and logistics-focused companies operating out of the greater Chicago area also appear in DOL Labor Condition Application filings under e-commerce and online marketplace occupation codes. Sponsorship patterns vary by employer size and hiring cycle, so reviewing OFLC LCA disclosure data is the most reliable way to verify current activity.
Which cities in Illinois have the most e-commerce H-1B1 Singapore sponsorship jobs?
Chicago accounts for the large majority of H-1B1 Singapore e-commerce sponsorship activity in Illinois, particularly in the River North, West Loop, and Fulton Market districts where many tech and marketplace companies are headquartered. Naperville and Schaumburg in the suburbs also host fulfillment operations and corporate offices for national retailers with e-commerce divisions. Outside these clusters, sponsorship opportunities are significantly less frequent.
What types of e-commerce roles typically qualify for H-1B1 Singapore sponsorship in Illinois?
Roles that regularly appear in H-1B1 LCA filings for e-commerce employers include software engineers, data scientists, product managers, UX designers, and digital marketing analysts. These positions qualify as specialty occupations because they require at least a bachelor's degree in a directly related field such as computer science, information systems, or marketing. Warehouse, fulfillment, and general operations roles typically do not meet the specialty occupation standard required for H-1B1 eligibility.
How do I find e-commerce H-1B1 Singapore sponsorship jobs in Illinois?
Migrate Mate filters job listings specifically by visa type, so you can search for H-1B1 Singapore-eligible e-commerce roles in Illinois directly without sifting through positions that don't offer sponsorship. Each employer on the platform shows verified LCA filing history, so you can see which Illinois e-commerce companies have actively sponsored H-1B1 Singapore workers before applying. This saves significant time compared to manually cross-referencing DOL disclosure data with job postings.
Are there Illinois-specific considerations for H-1B1 Singapore sponsorship in e-commerce?
Illinois does not impose state-level visa sponsorship requirements beyond federal H-1B visa1 rules, but Chicago's competitive tech hiring market means e-commerce employers often use sponsorship selectively for hard-to-fill technical roles. Illinois employers must post the required LCA public notice at the worksite, which in hybrid or remote arrangements may require additional documentation. Singaporean professionals applying through the H-1B1 category benefit from the separate annual allocation reserved for Singapore nationals, which is distinct from the standard H-1B lottery pool.
What is the prevailing wage for H-1B1 Singapore e-commerce jobs in Illinois?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.