Applied AI & Business Innovation, Vice President
BlackRock · New York, NY
- On site
- Full-time
- $194,000 / year
- New York, NY
Job highlights
- Explore AI opportunities with senior leadership.
- Prototype and test AI-enabled solutions independently.
- Translate business needs into practical proofs of concept.
- Collaborate with business teams to refine use cases.
- Share learnings and best practices across the organization.
About the role
Role Overview
We are seeking a hands-on, execution-oriented Vice President to work directly with the Chief Strategic Advisor to Aladdin on identifying, exploring, and applying AI and new technologies and tools to a broad set of business problems at BlackRock. This role is focused on experimentation, learning, and prototyping rather than ownership of said tools or platform. The prototypes may lead to production implementation which will be done through the appropriate existing teams at BlackRock. The successful candidate may be exposed to a wide range of business problems—spanning investing, operations, client service, distribution, and corporate functions—and will help brainstorm, prototype, and demonstrate how AI can improve productivity and unlock new business opportunities. The position will sit within the broader Portfolio Analytics Group (PAG) team to enable collaboration and sharing of best practices, while reporting both to Strategic Advisor and PAG.
Key Responsibilities
Applied AI & Problem Solving
- Partner with senior leadership to explore AI-driven opportunities across the firm, with exposure to a wide range of business challenges.
- Independently prototype, test, and iterate on AI-enabled solutions using existing firm infrastructure and the latest tools.
- Translate business questions and pain points into practical proofs of concept with tangible business impact.
- Embrace an experimental mindset—rapid iteration, learning from results, and adjusting direction as needed.
Collaboration & Influence
- Engage with business teams across all parts of the firm to brainstorm and refine use cases.
- Influence adoption by demonstrating value through working examples.
- Serve as a connector between business teams and technical partners, helping shape ideas and approaches.
Knowledge Sharing & Enablement
- Capture and share learnings, patterns, and best practices across the organization.
- Contribute to an internal community of practice around AI and emerging technologies.
- Stay current on AI, fintech, and productivity trends and proactively surface ideas relevant to the firm.
What Success Looks Like (12 Months)
- A diverse set of AI-driven experiments tested across multiple business areas.
- Tangible productivity improvements or new capability demonstrations in select workflows or business problems.
- Strong working relationships with business leaders and increased comfort engaging with AI tools.
- A clearer organizational understanding of where AI can—and cannot—add value.
Qualifications & Experience
- B.S./M.S. in Computer Science, Engineering, or related discipline preferred, though technical fluency and hands-on comfort with technology is key.
- 4+ years of professional experience, with proven experience in using technology to deliver innovative and analytical solutions.
- Experience in financial services, investing, fintech, or consulting is helpful but not required.
- Deep technical fluency in Python with hands-on experience building scalable, production-grade services.
- Strong knowledge of agentic design patterns, such as planning/execution loops, routing/specialist agents, retrieval + tool orchestration, verification/reflection, and human-in-the-loop approvals using frameworks like Google ADK, LangChain and LangGraph or similar.
- Ability to learn new skills and concepts quickly, highly adaptable.
- Strong communication skills and interpersonal skills in working with a diverse set of stakeholders.
Key skills/competency
- Applied AI
- Business Innovation
- Prototyping
- Python
- Agentic Design Patterns
- Financial Services
- Consulting
- Problem Solving
- Collaboration
- Experimentation
Skills & topics
- Vice President
- Applied AI
- Business Innovation
- Python
- Machine Learning
- Prototyping
- Financial Services
- Fintech
- Consulting
- Problem Solving
- AI Strategy
- Agentic Design Patterns
- BlackRock
- Technology
How to get hired
- Tailor your resume: Highlight your Python proficiency, AI/ML project experience, and any financial services background.
- Showcase innovation: Quantify the impact of your prototypes and problem-solving skills.
- Demonstrate adaptability: Emphasize your ability to learn new technologies and concepts quickly.
- Prepare for technical interviews: Be ready to discuss agentic design patterns and Python development.
- Understand BlackRock: Research their mission, values, and how AI fits into their strategy.
Technical preparation
Master Python for AI and service development.,Study agentic design patterns and frameworks.,Practice building scalable, production-grade services.,Prepare to discuss AI use cases in finance.
Behavioral questions
Describe a complex business problem you solved.,How do you approach rapid experimentation and learning?,How do you influence stakeholders with technical concepts?,Share an experience of collaborating across teams.
Frequently asked questions
- What are the key AI technologies used for the Vice President, Applied AI & Business Innovation role at BlackRock?
- For the Vice President, Applied AI & Business Innovation role at BlackRock, candidates should be proficient in Python and have hands-on experience with agentic design patterns. Familiarity with frameworks like Google ADK, LangChain, and LangGraph is highly valued for building scalable, production-grade AI solutions and prototypes.
- What is the expected experience level for the Vice President, Applied AI & Business Innovation position at BlackRock?
- BlackRock is seeking candidates with over 4 years of professional experience for the Vice President, Applied AI & Business Innovation role. A strong technical background, demonstrated success in delivering innovative analytical solutions, and adaptability are key, with a preference for those with a B.S./M.S. in Computer Science or Engineering.
- How does BlackRock's hybrid work model apply to the Vice President, Applied AI & Business Innovation role?
- BlackRock operates a hybrid work model requiring employees to work at least 4 days in the office per week, with 1 day flexible for remote work. This model is designed to foster collaboration and learning, particularly beneficial for new joiners in roles like Vice President, Applied AI & Business Innovation.
- What are the primary responsibilities of the Vice President, Applied AI & Business Innovation at BlackRock?
- The Vice President, Applied AI & Business Innovation at BlackRock will focus on identifying, exploring, and prototyping AI-driven solutions to business problems. Key responsibilities include partnering with senior leadership, independently developing proofs of concept, translating business needs into technical solutions, and collaborating across various business units.
- Is experience in financial services required for the Vice President, Applied AI & Business Innovation role?
- While experience in financial services, investing, fintech, or consulting is helpful for the Vice President, Applied AI & Business Innovation role at BlackRock, it is not strictly required. The primary focus is on deep technical fluency, particularly in Python, and a proven ability to deliver innovative analytical solutions.