Artificial Intelligence & Machine Learning Engineer, Vice President AI Labs

About this role

AI Labs Overview

For more than three decades BlackRock has combined world-class talent and technology to redefinewhatspossible in asset management. Today AI is reshaping every aspect of our industry from investments and client experiences to operations risk management and product innovation. BlackRock AI Labs sits at the center of that transformation.

AI Labs is BlackRocks advanced AIscience andengineeringorganization. We partner with teams across the firm to solve some of the most complex and consequential challenges in financial services applying generative AImachine learningoptimizationandstatisticsto deliver measurable business mission issimple but ambitious: combine human and machine intelligence to revolutionize asset management.

What sets AI Labs apart is our ability to move from idea toimpact. We are not a research lab detached from the business nor are we a traditional software engineering organization. We are a hybrid team ofscientists andengineers who build solutions thatrun at scale inproduction environmentsandcreate capacity for our business AI-powered investment insights and risk management solutions to next-generation agentic workflows and enterprise AI platforms our workis helping toshape the future of BlackRock.

Our teams work on some of the firmshighest prioritystrategic initiatives including large-scale generative AI systems intelligent agents predictive analytics optimization engines operational risk solutions and AI platforms that accelerate innovation across BlackRock. We help define best practicesestablishtechnical standards and enable teams throughout the organization to adopt AI safely effectively and at scale.

AI Labs has offices in New York Edinburgh AtlantaSan Franciscoand Seattle.

We are looking for candidates with unique backgrounds and diverse skill sets with fresh perspectives to accelerate and amplify our efforts to make an impact at BlackRock.

In this role you can expect to:

• Provide technical leadership set architectural direction and drive key design decisions across multidisciplinary teams.
• Design build and operate production AI/ML systems across areas such as generative AI intelligent agents predictive modeling and optimization.
• Develop reusable AI platforms services and infrastructure that accelerate experimentation deployment monitoring and adoption across the firm.
• Translate emerging AI capabilities into robust scalable solutions that deliver measurable business impact.
• Define evaluation testing and observability approaches for AI systems including non-deterministic and agentic applications.
• Optimize AI systems and workloads for latency throughput compute efficiency reliability security and cost.
• Partner with business engineering data risk and control teams to take solutions from concept through production deployment and ongoing operation.
• Establish engineering standards mentor engineers and influence technical strategy across teams.

The minimum requirements for this position are:

• 12 years of software engineering experience including significant experience designing building and operating complex production systems.
• 6 years of experience building and deploying AI/ML optimization or other model-driven applications in production.
• Strong proficiency in Python and a track record of developing maintainable well-tested production software.
• Strong SQL skills and experience working with data-intensive applications and large-scale datasets.
• Experience designing and building APIs services data pipelines or distributed systems that support AI/ML applications.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Demonstrated ability to lead complex technical solutions from architecture and design through production deployment operation and continuous improvement.
• Strong problem-solving collaboration and communication skills with the ability to influence technical decisions across multidisciplinary teams.

Additional knowledge and experience we value includes:

• Experience collaborating with research teams in fast-moving environments ideating quickly on research prototypes.
• Generative AI large language models AI agents and architectures for production AI systems.
• Evaluation experimentation observability debugging and testing approaches for AI/ML systems including non-deterministic and agentic applications.
• Machine learning and optimization frameworks such as PyTorch TensorFlow or JAX.
• Distributed systems cloud infrastructure model serving orchestration data pipelines and API design.
• Performance optimization across latency throughput compute utilization reliability scalability and cost.
• Responsible AI security governance and controls in enterprise or regulated environments.
• Experience with a systems- or performance-oriented programming language such as Rust C C Go or Zig.
• Experience in financial services or another regulated industry.

Relevant Knowledge Skills and Abilities:

Machine learning frameworks (TensorFlow PyTorch scikit-learn)
Programming languages (Python R Java)
Deep learning NLP computer vision techniques
Cloud ML platforms (AWS SageMaker Azure ML Vertex AI)
MLOps tools and practices
Statistical analysis and experimentation

For Atlanta GA Only the salary range for this position is USD$170000.00 - USD$220000.00 . 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

BlackRocks 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 weve provided guidanceon 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 childrens 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. Its why were dedicated to creating an environment where our colleagues feel welcomed valued and supported with networks benefits and development opportunities to help them thrive.

To learn more about BlackRock please visit . We also encourage you to get to know us on LinkedIn Instagram YouTube X and TikTok.

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.View theEEOCs Know Your Rights poster and its supplementand thepay transparency statement.

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 . All requests are treated in line with our.

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.