Associate, Infrastructure AI
Brookfield
This job at a glance
- Who can apply
- New grads and up to 2 years
- Must know
- Financial modelingTaxNetworkingMarket researchExcel
- Work
- On-site in New York
- Pay
- $150K–$200K a year
- Skill demand
- Tax13%Financial modeling9%Networking4%Market research4%of 100 similar entry-level jobs posted in the US this week
- Listed
- Oct 29, 2026 · still open
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About the Role
Brookfield is hiring an Associate within its Infrastructure AI Fund (BAIIF), based in New York. This position offers a unique opportunity to join a fast-growing team focused on deploying capital across the AI infrastructure value chain. Successful candidates will contribute to deal execution, due diligence, and asset management, working closely with senior leaders to scale Brookfield’s presence in this transformative sector. While primarily aligned with BAIIF, these roles may also support adjacent strategies across Brookfield’s infrastructure and transition platforms.
Key Responsibilities
- Investment Analysis & Execution
- Develop and oversee detailed financial models and return analyses to evaluate potential investments across AI infrastructure sectors (e.g., data centers, compute hardware, power, and connectivity).
- Lead or support due diligence processes, including financial, operational, legal, and tax workstreams, ensuring alignment with the investment thesis and business case.
- Prepare and present investment committee materials, bid letters, and transaction documentation with increasing ownership at senior levels.
- Deal Origination & Strategy
- Contribute to or lead idea generation for transactions and deal structures, including identifying value creation strategies and market entry points.
- Assist in implementing business development and transaction strategies, including networking and relationship-building to uncover new opportunities.
- Cross-Functional Collaboration
- Partner with operating teams across Brookfield’s infrastructure and transition platforms to support due diligence and post-investment asset management.
- Coordinate with internal legal, tax, and structuring teams to ensure transaction execution aligns with strategic and financial objectives.
- Leadership & Culture
- Foster a collaborative, dynamic, and team-oriented culture that supports personal development, mentorship, and skill-building—especially for junior colleagues.
- Lead or contribute to special projects and ad hoc initiatives that advance fund strategy or operational excellence.
- Market Research & Thought Leadership
- Conduct deep industry and market research to inform investment strategies and identify emerging trends in AI infrastructure.
Requirements & Tech Stack
- A professional, positive attitude and capable of contributing to a dynamic and team-oriented culture.
- High level of proficiency in Excel and Power Point.
- Very strong financial modelling skills.
Qualifications
- Exceptional analytical skills with deep expertise in financial and investment analysis, including advanced financial modelling capabilities.
- Highly self-motivated and adaptable, with a proven ability to thrive in fast-paced environments, manage shifting priorities, and consistently meet deadlines.
- Professional and collaborative, with a strong ability to contribute meaningfully within dynamic, team-oriented settings.
- Excellent interpersonal and communication skills, with a track record of engaging effectively across all levels of an organization.
- Meticulous attention to detail, combined with the ability to manage multiple concurrent workstreams in performance-driven environments.
- Strong interest in AI investment strategies.
- Experience in investment banking, restructuring, TMT and/or infrastructure investments or other relevant areas.
- Relevant sector experience in AI, infrastructure, and general private equity considered an asset.
Salary Range: $150k - $200k
Compensation structure includes base salary and a short-term incentive program (cash bonus).
Cash compensation varies by geography to account for local market conditions and is set to be market competitive.
Compensation decisions are based on factors including relative experience, overall years of experience, industry experience, education, and designations.