H-1B1 Singapore Visa AI Product Engineer Jobs
AI Product Engineer roles qualify for H-1B1 Singapore visa sponsorship because they meet the specialty occupation requirement under the U.S.-Singapore Free Trade Agreement. No lottery, no USCIS petition filing, and the 5,400-visa annual cap has never been exhausted, so your application goes directly to the consulate.
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Get Access To All JobsOver the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values – Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy – and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry.
Job Description
SUMMARY
Ares is seeking a Vice President, AI Credit Product to define and lead the AI product strategy supporting the firm's global Credit investment platform.
This leader will partner closely with Credit investment professionals, Engineering, Data & AI, Operations, and Infrastructure teams to identify, prioritize, and deliver AI-powered products and capabilities that enhance investment decision-making, streamline investment workflows, and transform how investment teams source, evaluate, execute, and monitor investments.
The role spans the end-to-end Credit investment lifecycle—including deal sourcing, deal screening, underwriting, diligence, investment committee, trade execution, portfolio management, portfolio monitoring, and investment analytics—and is responsible for embedding AI across the firm's investment operating model.
Reporting to the Managing Director, Head of Credit Product, this leader will serve as the primary Product partner to the Enterprise Data & AI organization, translating emerging AI capabilities into scalable products that create measurable business value across Direct Lending, Alternative Credit, Opportunistic Credit and Liquid Credit strategies.
The successful candidate will combine strong product leadership, investment technology expertise, and a deep understanding of modern AI capabilities. This individual will shape Ares' AI product vision for Credit while driving AI adoption across investment workflows and fostering AI-native ways of working throughout the Credit Product organization.
This role requires a hands-on product leader who is equally comfortable defining long-term product strategy and rapidly prototyping new ideas using modern AI-enabled product development tools. The ideal candidate enjoys experimenting with emerging technologies, validating concepts with users, and partnering closely with Engineering to bring innovative products to market.
PRIMARY FUNCTIONS & RESPONSIBILITIES:
AI Product Strategy & Vision
- Define and execute the AI product strategy supporting Ares' global Credit investment platform.
- Develop and maintain a multi-year AI product roadmap aligned with Credit business priorities and investment strategy.
- Partner closely with investment professionals to identify opportunities where AI can improve investment decision-making, streamline investment workflows, and enhance operational scale.
- Translate investment workflows, market trends, business priorities, and user feedback into scalable AI product opportunities.
- Evaluate build, buy, and partner opportunities across the rapidly evolving AI ecosystem.
- Establish and manage a portfolio of AI products aligned with measurable business outcomes.
AI-Enabled Investment Workflows
- Lead AI product strategy supporting the end-to-end Credit investment lifecycle, including:
- Market intelligence and deal sourcing
- Deal screening and underwriting
- Financial analysis and document intelligence
- Diligence workflows
- Investment Committee preparation
Enterprise AI Platform & Investment Intelligence
- Partner closely with the Enterprise Data & AI organization to define the product strategy for Ares' proprietary AI platform and gateway supporting Credit investing.
- Drive the development of reusable AI capabilities that power investment workflows across origination, diligence, portfolio management, and investment monitoring.
- Define the product vision for enterprise investment knowledge management, intelligent search, document intelligence, and investment copilots.
- Partner with Engineering to integrate internal data, investment platforms, research, and proprietary content into a unified AI experience for investment professionals.
- Help establish a differentiated investment intelligence platform leveraging proprietary data, workflows, and institutional knowledge.
Product Execution & Delivery
- Partner closely with Engineering and Enterprise Data & AI teams to define, prioritize, and deliver AI-enabled products across the Credit platform.
- Define product vision, business capabilities, product requirements, success metrics, and release priorities.
- Lead AI products from concept and rapid prototyping through production deployment and ongoing product evolution.
- Measure adoption, business value, and user outcomes to continuously improve product capabilities.
- Drive AI adoption through iterative development, user feedback, and continuous product enhancement.
Cross-functional Leadership
- Partner closely with Investment teams, Engineering, AI & Data, Operations & Infrastructure teams.
- Serve as the AI Product leader for Credit within enterprise technology governance and AI strategy discussions.
- Partner with Product Managers across the Credit Product organization to embed AI capabilities throughout the investment lifecycle.
- Promote responsible AI adoption, governance, security, and change management practices.
- Serve as a strategic advisor to senior business and technology leaders on the adoption of AI across the Credit platform.
Product Innovation & Rapid Prototyping
- Foster a product-led culture of experimentation by rapidly validating ideas through prototypes, proofs of concept, and user feedback before committing to full-scale product development.
- Stay current with emerging AI technologies, foundation models, agentic AI frameworks, enterprise search capabilities, and modern product development tools, continuously evaluating their applicability to Credit investing.
- Leverage AI-assisted product development and rapid prototyping tools to create mockups, workflows, proof-of-concepts, and interactive demonstrations that accelerate product discovery, stakeholder alignment, and engineering execution.
- Demonstrate a hands-on approach to product management by utilizing AI-enabled development tools, low-code/no-code platforms, and rapid prototyping technologies to validate concepts and accelerate product delivery.
- Evaluate and adopt emerging AI-native product development tools such as Cursor, Claude Code, GitHub Copilot, Replit, Lovable, v0, Figma AI, or similar technologies to improve product discovery and innovation.
Innovation & Market Leadership
- Monitor developments in Generative AI, AI agents, enterprise search, workflow automation, and investment technology.
- Evaluate emerging vendors and technologies.
- Build a pipeline of AI innovation opportunities aligned with Credit business priorities.
- Help establish Ares as a leader in AI-enabled investing.
QUALIFICATIONS
Education
- Bachelor's degree required in Computer Science or adjacent fields. Advanced degree preferred.
Experience Required:
- Strong understanding of private credit investment workflows spanning deal sourcing, deal screening, underwriting, diligence, investment committee, trade execution, portfolio management, portfolio monitoring, and investment analytics.
- Strong understanding of modern AI capabilities, including Generative AI, Large Language Models (LLMs), AI assistants and copilots, agentic AI, intelligent workflow automation, Retrieval-Augmented Generation (RAG), enterprise search, and enterprise AI platforms.
- Experience identifying, defining, and delivering AI-powered products that leverage enterprise knowledge, document intelligence, workflow automation, or intelligent decision support to improve business outcomes.
- Experience partnering closely with Engineering, Data Science, and Enterprise Data & AI organizations to define product strategy and deliver enterprise AI capabilities.
- Familiarity with prompt engineering, tool/function calling, semantic search, vector databases, AI evaluation, human-in-the-loop workflows, context management, and responsible AI governance.
- Demonstrated hands-on experience using modern AI-assisted product development, rapid prototyping, design, or low-code/no-code tools to rapidly validate ideas and communicate product concepts.
- Strong product strategy, roadmap development, product discovery, stakeholder management, and product lifecycle management skills with the ability to translate complex business workflows into scalable technology solutions.
- Excellent communication, executive presentation, and cross-functional leadership skills with the ability to influence senior business and technology stakeholders.
General Requirements:
- 9-12 years of experience in Product Management, Investment Technology, Digital Transformation, or Financial Technology.
- Experience supporting alternative investments, private credit, capital markets, or institutional investment platforms.
- Demonstrated experience defining product vision, developing multi-year product roadmaps, and delivering enterprise technology products from concept through production.
- Experience delivering AI-enabled products, digital assistants, enterprise search, knowledge management, document intelligence, workflow automation, or intelligent decision-support capabilities.
- Experience evaluating emerging technologies, conducting proof-of-concepts, and assessing build vs. buy decisions for enterprise AI solutions.
- Demonstrated ability to lead complex cross-functional initiatives across Product, Engineering, Investment, Operations, and Data organizations in a highly matrixed environment.
Reporting Relationships
Global Head of Investment Technology
Compensation
The anticipated base salary range for this position is listed below. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role.
$225,000 - $250,000
The firm also offers robust Benefits offerings. Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit.
Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more.
There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.
Over the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values – Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy – and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry.
Job Description
SUMMARY
Ares is seeking a Vice President, AI Credit Product to define and lead the AI product strategy supporting the firm's global Credit investment platform.
This leader will partner closely with Credit investment professionals, Engineering, Data & AI, Operations, and Infrastructure teams to identify, prioritize, and deliver AI-powered products and capabilities that enhance investment decision-making, streamline investment workflows, and transform how investment teams source, evaluate, execute, and monitor investments.
The role spans the end-to-end Credit investment lifecycle—including deal sourcing, deal screening, underwriting, diligence, investment committee, trade execution, portfolio management, portfolio monitoring, and investment analytics—and is responsible for embedding AI across the firm's investment operating model.
Reporting to the Managing Director, Head of Credit Product, this leader will serve as the primary Product partner to the Enterprise Data & AI organization, translating emerging AI capabilities into scalable products that create measurable business value across Direct Lending, Alternative Credit, Opportunistic Credit and Liquid Credit strategies.
The successful candidate will combine strong product leadership, investment technology expertise, and a deep understanding of modern AI capabilities. This individual will shape Ares' AI product vision for Credit while driving AI adoption across investment workflows and fostering AI-native ways of working throughout the Credit Product organization.
This role requires a hands-on product leader who is equally comfortable defining long-term product strategy and rapidly prototyping new ideas using modern AI-enabled product development tools. The ideal candidate enjoys experimenting with emerging technologies, validating concepts with users, and partnering closely with Engineering to bring innovative products to market.
PRIMARY FUNCTIONS & RESPONSIBILITIES:
AI Product Strategy & Vision
- Define and execute the AI product strategy supporting Ares' global Credit investment platform.
- Develop and maintain a multi-year AI product roadmap aligned with Credit business priorities and investment strategy.
- Partner closely with investment professionals to identify opportunities where AI can improve investment decision-making, streamline investment workflows, and enhance operational scale.
- Translate investment workflows, market trends, business priorities, and user feedback into scalable AI product opportunities.
- Evaluate build, buy, and partner opportunities across the rapidly evolving AI ecosystem.
- Establish and manage a portfolio of AI products aligned with measurable business outcomes.
AI-Enabled Investment Workflows
- Lead AI product strategy supporting the end-to-end Credit investment lifecycle, including:
- Market intelligence and deal sourcing
- Deal screening and underwriting
- Financial analysis and document intelligence
- Diligence workflows
- Investment Committee preparation
Enterprise AI Platform & Investment Intelligence
- Partner closely with the Enterprise Data & AI organization to define the product strategy for Ares' proprietary AI platform and gateway supporting Credit investing.
- Drive the development of reusable AI capabilities that power investment workflows across origination, diligence, portfolio management, and investment monitoring.
- Define the product vision for enterprise investment knowledge management, intelligent search, document intelligence, and investment copilots.
- Partner with Engineering to integrate internal data, investment platforms, research, and proprietary content into a unified AI experience for investment professionals.
- Help establish a differentiated investment intelligence platform leveraging proprietary data, workflows, and institutional knowledge.
Product Execution & Delivery
- Partner closely with Engineering and Enterprise Data & AI teams to define, prioritize, and deliver AI-enabled products across the Credit platform.
- Define product vision, business capabilities, product requirements, success metrics, and release priorities.
- Lead AI products from concept and rapid prototyping through production deployment and ongoing product evolution.
- Measure adoption, business value, and user outcomes to continuously improve product capabilities.
- Drive AI adoption through iterative development, user feedback, and continuous product enhancement.
Cross-functional Leadership
- Partner closely with Investment teams, Engineering, AI & Data, Operations & Infrastructure teams.
- Serve as the AI Product leader for Credit within enterprise technology governance and AI strategy discussions.
- Partner with Product Managers across the Credit Product organization to embed AI capabilities throughout the investment lifecycle.
- Promote responsible AI adoption, governance, security, and change management practices.
- Serve as a strategic advisor to senior business and technology leaders on the adoption of AI across the Credit platform.
Product Innovation & Rapid Prototyping
- Foster a product-led culture of experimentation by rapidly validating ideas through prototypes, proofs of concept, and user feedback before committing to full-scale product development.
- Stay current with emerging AI technologies, foundation models, agentic AI frameworks, enterprise search capabilities, and modern product development tools, continuously evaluating their applicability to Credit investing.
- Leverage AI-assisted product development and rapid prototyping tools to create mockups, workflows, proof-of-concepts, and interactive demonstrations that accelerate product discovery, stakeholder alignment, and engineering execution.
- Demonstrate a hands-on approach to product management by utilizing AI-enabled development tools, low-code/no-code platforms, and rapid prototyping technologies to validate concepts and accelerate product delivery.
- Evaluate and adopt emerging AI-native product development tools such as Cursor, Claude Code, GitHub Copilot, Replit, Lovable, v0, Figma AI, or similar technologies to improve product discovery and innovation.
Innovation & Market Leadership
- Monitor developments in Generative AI, AI agents, enterprise search, workflow automation, and investment technology.
- Evaluate emerging vendors and technologies.
- Build a pipeline of AI innovation opportunities aligned with Credit business priorities.
- Help establish Ares as a leader in AI-enabled investing.
QUALIFICATIONS
Education
- Bachelor's degree required in Computer Science or adjacent fields. Advanced degree preferred.
Experience Required:
- Strong understanding of private credit investment workflows spanning deal sourcing, deal screening, underwriting, diligence, investment committee, trade execution, portfolio management, portfolio monitoring, and investment analytics.
- Strong understanding of modern AI capabilities, including Generative AI, Large Language Models (LLMs), AI assistants and copilots, agentic AI, intelligent workflow automation, Retrieval-Augmented Generation (RAG), enterprise search, and enterprise AI platforms.
- Experience identifying, defining, and delivering AI-powered products that leverage enterprise knowledge, document intelligence, workflow automation, or intelligent decision support to improve business outcomes.
- Experience partnering closely with Engineering, Data Science, and Enterprise Data & AI organizations to define product strategy and deliver enterprise AI capabilities.
- Familiarity with prompt engineering, tool/function calling, semantic search, vector databases, AI evaluation, human-in-the-loop workflows, context management, and responsible AI governance.
- Demonstrated hands-on experience using modern AI-assisted product development, rapid prototyping, design, or low-code/no-code tools to rapidly validate ideas and communicate product concepts.
- Strong product strategy, roadmap development, product discovery, stakeholder management, and product lifecycle management skills with the ability to translate complex business workflows into scalable technology solutions.
- Excellent communication, executive presentation, and cross-functional leadership skills with the ability to influence senior business and technology stakeholders.
General Requirements:
- 9-12 years of experience in Product Management, Investment Technology, Digital Transformation, or Financial Technology.
- Experience supporting alternative investments, private credit, capital markets, or institutional investment platforms.
- Demonstrated experience defining product vision, developing multi-year product roadmaps, and delivering enterprise technology products from concept through production.
- Experience delivering AI-enabled products, digital assistants, enterprise search, knowledge management, document intelligence, workflow automation, or intelligent decision-support capabilities.
- Experience evaluating emerging technologies, conducting proof-of-concepts, and assessing build vs. buy decisions for enterprise AI solutions.
- Demonstrated ability to lead complex cross-functional initiatives across Product, Engineering, Investment, Operations, and Data organizations in a highly matrixed environment.
Reporting Relationships
Global Head of Investment Technology
Compensation
The anticipated base salary range for this position is listed below. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role.
$225,000 - $250,000
The firm also offers robust Benefits offerings. Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit.
Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more.
There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.
See all 555+ H-1B1 Singapore Visa AI Product Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa AI Product Engineer Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as an AI Product Engineer
Align your degree to the role
H-1B1 visa requires a direct field match between your degree and the AI Product Engineer role. A computer science or engineering degree maps cleanly, but an adjacent field like mathematics or statistics needs supporting documentation showing the theoretical basis of your product work.
Search LCA filings before applying
Employers must file a Labor Condition Application with DOL before sponsoring you. Use the OFLC Wage Search to confirm which companies have active LCA filings for software or AI product roles, then target those employers first.
Find verified H-1B1 employers on Migrate Mate
Use Migrate Mate to filter for employers with verified H-1B1 Singapore visa sponsorship history for AI and product engineering roles. It surfaces DOL filing data so you're not cold-applying to companies that have never sponsored this visa category.
Verify your job title maps to O*NET
Consular officers assess specialty occupation using the O*NET occupation profile. Make sure your offer letter title and duties align with a recognized software or AI engineering classification, not a generalist product or management role that could face scrutiny.
Confirm your employer is E-Verify enrolled
H-1B1 visa employers must be enrolled in E-Verify before the consulate will approve your visa. Ask your recruiter to confirm enrollment status early in the offer process, not after you've accepted and the LCA is already filed.
Request an employment start date with buffer
H-1B1 visa consular processing for Singaporean nationals typically completes within a few weeks, but administrative delays happen. Negotiate a start date at least four weeks after your scheduled interview to avoid needing to defer after your visa is approved.
Frequently Asked Questions
Does an AI Product Engineer role qualify as a specialty occupation for H-1B1 Singapore?
Yes. AI Product Engineer roles require at least a bachelor's degree in computer science, software engineering, or a directly related field, which satisfies the specialty occupation definition under the H-1B1 Singapore category. Your offer letter must describe duties that require that specific theoretical or technical knowledge, not general product management responsibilities that any degree could support.
How does H-1B1 Singapore differ from H-1B for AI Product Engineer roles?
The core difference is process and predictability. H-1B visa goes through a lottery with USCIS, and registration alone doesn't guarantee a filing slot. H-1B1 Singapore skips the lottery entirely and goes directly to consular processing, with a 5,400-visa cap that has never been exhausted. For AI Product Engineer candidates, that means no random selection risk and a much shorter timeline from offer to visa stamp.
Where can I find AI Product Engineer jobs with H-1B1 Singapore visa sponsorship?
Migrate Mate is built specifically for this search. It filters job listings by verified H-1B1 Singapore sponsorship history using DOL Labor Condition Application data, so you can see which employers have actually filed for this visa category in AI and product engineering roles, rather than relying on self-reported sponsorship claims in job postings.
Can I switch employers on H-1B1 Singapore without losing status?
H-1B1 visa does not have the same portability protections that H-1B holders have under AC21. Each employer change requires a new LCA filing and a new consular visa stamp, which means you'll need to leave the U.S. and reapply at a consulate. Plan accordingly when evaluating offers, and don't resign until the new employer's LCA is certified and your appointment is scheduled.
What documents should I prepare before applying for H-1B1 Singapore sponsorship as an AI Product Engineer?
You'll need your original degree certificate and transcripts, a detailed offer letter describing your AI Product Engineer duties and confirming the role requires a relevant technical degree, your certified LCA from the employer, and a valid Singaporean passport. If your degree title doesn't obviously map to the role, a credential evaluation or an expert opinion letter explaining the connection strengthens your consular application.