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Get Access To All JobsLocation: New York, New York
Job description
About this role
Overview
Global Infrastructure Partners is seeking a Head of AI Enablement to lead the practical deployment of AI across GIP’s investment, capital formation and fund operations.
The role will focus on prioritizing high-impact use cases, standardizing tools, embedding AI into repeatable workflows, coordinating with BlackRock capabilities, managing pilots and vendors, improving adoption, driving training and measuring business impact as well as cost. GIP has already established a meaningful foundation; the role’s mandate is to move the organization from experimentation to scaled, governed, high-impact usage.
Strategic Mandate
- Increase AI usage, proficiency, and consistency across GIP through training, support and standardization
- Prioritize use cases with outsized impact across investment underwriting, capital formation and fund operations.
- Interface with model and application layer tool providers
- Create competitive advantage from proprietary data, including GIP historical materials, portfolio company data, BlackRock data, Preqin, Aladdin, and third-party market datasets.
- Standardize the AI tool environment, reduce tool proliferation, manage spend, and focus resources on the highest-value capabilities.
- Define the resourcing model across BlackRock, GIP / Private Markets, and third parties, with clear ownership, cost allocation, and ROI measurement.
Key Responsibilities
Lead the GIP AI Program Office
- Establish the AI Program Office mandate, cadence, roadmap, reporting model, and decision rights.
- Maintain a single view of AI initiatives, pilots, tools, vendors, owners, costs, risks, and outcomes.
- Provide regular reporting to the AI Executive Committee and GIP senior leadership.
Build and execute the AI roadmap
- Prioritize and sequence AI initiatives across investment, capital formation, legal, finance, tax, accounting, IT, HR and fund operations.
- Convert use cases into project charters with business owners, data requirements, success metrics, governance controls, and delivery milestones.
- Scale successful pilots into repeatable, controlled production workflows.
- Track spend and token usage and justify ROI.
Drive high-impact private markets use cases
- Advance capabilities such as DDQ / RFP automation, custom research agents, IC decision-support agents, model and sensitivity agents, investment memo generation, and AI-enabled legal / diligence workflows.
- Embed AI into day-to-day workflows rather than treating tools as stand-alone productivity applications.
- Partner with business owners to capture efficiency, quality, and decision-support benefits.
Partner with BlackRock AI Teams
- Serve as GIP’s primary business interface with PMG Tech, BlackRock Private Markets, Applied Innovation Office, AI Office, AI Labs, Aladdin, BTO, and relevant data teams.
- Adapt BlackRock’s hub-and-spoke AI model to private markets, keeping use-case ownership with investment and operating teams while leveraging centralized engineering and data-science capabilities.
- Advise on what should be resourced through BlackRock, what should be GIP-led, and where third-party support is required.
Interface with third party tool providers
- Represent GIP in interactions with foundational model and application tool providers related to tool selection, trials, negotiations, customer support and product enhancements.
Advise Standardize tools and manage vendors in collaboration with BlackRock
- Maintain an inventory of approved, deployed, piloted, and rejected AI tools.
- Evaluate overlapping tools and recommend standardization across ChatGPT, Copilot, Claude, Perplexity, Rogo, BlueFlame, Harvey, ToltIQ, Hebbia, Salesforce / Agentforce, and other platforms.
- Manage pilots, vendor relationships, procurement, cybersecurity, compliance reviews, spend, and ROI tracking.
Lead adoption, training, and change management
- Design role-based training for investment, capital formation, operations, legal, finance and fund operations teams.
- Scale the AI Champions group, run demos and office hours, and develop prompt libraries, workflow templates, and “when to use what” guidance.
- Raise baseline proficiency across GIP while building power-user capability in each function.
Build proprietary-data advantage
- Help organize and structure GIP historical materials, including CIMs, memos, market studies, contracts, models and diligence materials.
- Coordinate use of BlackRock data, Aladdin, Preqin, and third-party market datasets.
- Partner with technology and data teams on permissions, taxonomy, metadata, retrieval, data quality, and secure knowledge-agent development.
Measure business impact
- Define KPIs for adoption, usage, cycle-time reduction, quality improvement, third-party spend reduction, and user satisfaction.
- Measure and report AI ROI, including cost allocation across GIP, BlackRock, Private Markets, teams, vendors, and use cases.
- Use impact data to inform funding, scaling, vendor rationalization, and training priorities.
Candidate Profile
Required Experience
- AI enablement, enterprise AI adoption, digital transformation, workflow automation, or business process redesign.
- Private markets, infrastructure investing, private equity, asset management, investment banking, consulting, or portfolio operations fluency.
- Leadership of cross-functional transformation programs involving senior business stakeholders, technology teams, vendors, legal, compliance, cybersecurity, and data owners.
- Experience deploying AI tools into real business workflows, not merely advising on AI strategy.
- Ability to manage pilots, vendors, adoption programs, governance models, and value tracking.
Preferred Backgrounds
- AI / digital transformation role at a private equity, infrastructure, private credit, or asset management platform.
- Consulting experience implementing AI programs for financial sponsors or asset managers.
- Innovation, data, technology, or business transformation role inside a large financial institution.
- Private markets technology company focused on diligence, portfolio monitoring, financial modeling, document intelligence, or knowledge management.
Technical Fluency
- Generative AI platforms, enterprise AI tools, agents, prompting, retrieval-augmented generation, and knowledge agents.
- AI-enabled document review, structured extraction, research automation, Excel / PowerPoint workflows, and investment memo support.
- Data governance, permissions, confidential information handling, model limitations, hallucination risk, human review, and auditability.
- Vendor evaluation, tool standardization, procurement, cybersecurity, and responsible AI controls.
Success Measures
- Increased active usage and proficiency across approved AI tools.
- Deployment of repeatable AI workflows in underwriting, capital formation and fund operations.
- Measurable time savings in diligence, memo preparation, modeling, DDQs, legal review, reporting, and research.
- Reduced third-party spend in legal, diligence, market, tax, and accounting workflows.
- Reduced tool proliferation and clearer standards for which tools should be used in which workflows.
- Progress organizing proprietary GIP data for knowledge agents, analytics, and decision support.
- Clear governance, permissions, risk controls, and human-review standards.
- Effective integration with BlackRock AI resources.
For New York, NY Only the salary range for this position is USD$300,000.00 - USD$387,500.00. Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our privacy policy.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.
Job Requisition #
R265248
Location: New York, New York
Job description
About this role
Overview
Global Infrastructure Partners is seeking a Head of AI Enablement to lead the practical deployment of AI across GIP’s investment, capital formation and fund operations.
The role will focus on prioritizing high-impact use cases, standardizing tools, embedding AI into repeatable workflows, coordinating with BlackRock capabilities, managing pilots and vendors, improving adoption, driving training and measuring business impact as well as cost. GIP has already established a meaningful foundation; the role’s mandate is to move the organization from experimentation to scaled, governed, high-impact usage.
Strategic Mandate
- Increase AI usage, proficiency, and consistency across GIP through training, support and standardization
- Prioritize use cases with outsized impact across investment underwriting, capital formation and fund operations.
- Interface with model and application layer tool providers
- Create competitive advantage from proprietary data, including GIP historical materials, portfolio company data, BlackRock data, Preqin, Aladdin, and third-party market datasets.
- Standardize the AI tool environment, reduce tool proliferation, manage spend, and focus resources on the highest-value capabilities.
- Define the resourcing model across BlackRock, GIP / Private Markets, and third parties, with clear ownership, cost allocation, and ROI measurement.
Key Responsibilities
Lead the GIP AI Program Office
- Establish the AI Program Office mandate, cadence, roadmap, reporting model, and decision rights.
- Maintain a single view of AI initiatives, pilots, tools, vendors, owners, costs, risks, and outcomes.
- Provide regular reporting to the AI Executive Committee and GIP senior leadership.
Build and execute the AI roadmap
- Prioritize and sequence AI initiatives across investment, capital formation, legal, finance, tax, accounting, IT, HR and fund operations.
- Convert use cases into project charters with business owners, data requirements, success metrics, governance controls, and delivery milestones.
- Scale successful pilots into repeatable, controlled production workflows.
- Track spend and token usage and justify ROI.
Drive high-impact private markets use cases
- Advance capabilities such as DDQ / RFP automation, custom research agents, IC decision-support agents, model and sensitivity agents, investment memo generation, and AI-enabled legal / diligence workflows.
- Embed AI into day-to-day workflows rather than treating tools as stand-alone productivity applications.
- Partner with business owners to capture efficiency, quality, and decision-support benefits.
Partner with BlackRock AI Teams
- Serve as GIP’s primary business interface with PMG Tech, BlackRock Private Markets, Applied Innovation Office, AI Office, AI Labs, Aladdin, BTO, and relevant data teams.
- Adapt BlackRock’s hub-and-spoke AI model to private markets, keeping use-case ownership with investment and operating teams while leveraging centralized engineering and data-science capabilities.
- Advise on what should be resourced through BlackRock, what should be GIP-led, and where third-party support is required.
Interface with third party tool providers
- Represent GIP in interactions with foundational model and application tool providers related to tool selection, trials, negotiations, customer support and product enhancements.
Advise Standardize tools and manage vendors in collaboration with BlackRock
- Maintain an inventory of approved, deployed, piloted, and rejected AI tools.
- Evaluate overlapping tools and recommend standardization across ChatGPT, Copilot, Claude, Perplexity, Rogo, BlueFlame, Harvey, ToltIQ, Hebbia, Salesforce / Agentforce, and other platforms.
- Manage pilots, vendor relationships, procurement, cybersecurity, compliance reviews, spend, and ROI tracking.
Lead adoption, training, and change management
- Design role-based training for investment, capital formation, operations, legal, finance and fund operations teams.
- Scale the AI Champions group, run demos and office hours, and develop prompt libraries, workflow templates, and “when to use what” guidance.
- Raise baseline proficiency across GIP while building power-user capability in each function.
Build proprietary-data advantage
- Help organize and structure GIP historical materials, including CIMs, memos, market studies, contracts, models and diligence materials.
- Coordinate use of BlackRock data, Aladdin, Preqin, and third-party market datasets.
- Partner with technology and data teams on permissions, taxonomy, metadata, retrieval, data quality, and secure knowledge-agent development.
Measure business impact
- Define KPIs for adoption, usage, cycle-time reduction, quality improvement, third-party spend reduction, and user satisfaction.
- Measure and report AI ROI, including cost allocation across GIP, BlackRock, Private Markets, teams, vendors, and use cases.
- Use impact data to inform funding, scaling, vendor rationalization, and training priorities.
Candidate Profile
Required Experience
- AI enablement, enterprise AI adoption, digital transformation, workflow automation, or business process redesign.
- Private markets, infrastructure investing, private equity, asset management, investment banking, consulting, or portfolio operations fluency.
- Leadership of cross-functional transformation programs involving senior business stakeholders, technology teams, vendors, legal, compliance, cybersecurity, and data owners.
- Experience deploying AI tools into real business workflows, not merely advising on AI strategy.
- Ability to manage pilots, vendors, adoption programs, governance models, and value tracking.
Preferred Backgrounds
- AI / digital transformation role at a private equity, infrastructure, private credit, or asset management platform.
- Consulting experience implementing AI programs for financial sponsors or asset managers.
- Innovation, data, technology, or business transformation role inside a large financial institution.
- Private markets technology company focused on diligence, portfolio monitoring, financial modeling, document intelligence, or knowledge management.
Technical Fluency
- Generative AI platforms, enterprise AI tools, agents, prompting, retrieval-augmented generation, and knowledge agents.
- AI-enabled document review, structured extraction, research automation, Excel / PowerPoint workflows, and investment memo support.
- Data governance, permissions, confidential information handling, model limitations, hallucination risk, human review, and auditability.
- Vendor evaluation, tool standardization, procurement, cybersecurity, and responsible AI controls.
Success Measures
- Increased active usage and proficiency across approved AI tools.
- Deployment of repeatable AI workflows in underwriting, capital formation and fund operations.
- Measurable time savings in diligence, memo preparation, modeling, DDQs, legal review, reporting, and research.
- Reduced third-party spend in legal, diligence, market, tax, and accounting workflows.
- Reduced tool proliferation and clearer standards for which tools should be used in which workflows.
- Progress organizing proprietary GIP data for knowledge agents, analytics, and decision support.
- Clear governance, permissions, risk controls, and human-review standards.
- Effective integration with BlackRock AI resources.
For New York, NY Only the salary range for this position is USD$300,000.00 - USD$387,500.00. Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our privacy policy.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.
Job Requisition #
R265248
AI Engineer Job Roles in New York
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Search AI Engineer Jobs in New YorkAI Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for AI engineers in New York?
Major sponsors for AI engineers in New York include Google, Amazon, Meta, IBM, Microsoft, JPMorgan Chase, Goldman Sachs, and Bloomberg. Beyond large employers, a significant number of AI-focused startups and mid-size firms in Manhattan and Brooklyn also sponsor H-1B visas for roles in machine learning, NLP, and data science. Financial services firms have become particularly active sponsors as they build out proprietary AI infrastructure.
Which visa types are most common for AI engineer roles in New York?
The H-1B is the most common visa category for AI engineers in New York, given that these roles typically require at least a bachelor's degree in computer science, data science, or a related field, meeting the specialty occupation standard. O-1A visas are an option for engineers with demonstrated exceptional ability, such as published research or patents. Australians may qualify for the E-3 visa, which follows a similar specialty occupation framework but has no lottery.
Which cities in New York have the most AI engineer sponsorship jobs?
Manhattan accounts for the largest share of AI engineer sponsorship jobs in New York, driven by the concentration of tech companies, financial institutions, and enterprise software firms in Midtown and lower Manhattan. Brooklyn, particularly the DUMBO and Industry City areas, has a growing cluster of AI startups that sponsor international talent. Albany and Buffalo have smaller but emerging tech sectors tied to state-funded research initiatives and university partnerships.
How to find ai engineer visa sponsorship jobs in New York?
Migrate Mate is built specifically for international job seekers and filters AI engineer roles in New York to show only positions where employers have a documented history of visa sponsorship. Rather than sifting through general job postings where sponsorship status is unclear, Migrate Mate surfaces verified opportunities relevant to your visa type and location, making it a practical starting point for targeting New York's AI engineering market.
Are there state-specific factors AI engineers should know about the New York sponsorship market?
New York's AI engineering market is shaped by two dominant industries: tech and financial services, both of which set high prevailing wage benchmarks that employers must meet when sponsoring H-1B workers through the Department of Labor's Labor Condition Application process. New York is also home to Columbia University, NYU, and Cornell Tech, which feed strong graduate pipelines and maintain research partnerships with companies that regularly convert student researchers into sponsored full-time employees.
What is the prevailing wage for sponsored ai engineer jobs in New York?
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.