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# Artificial Intelligence & Machine Learning Engineer, Vice President - AI Labs

- **Company:** Blackrock, Inc.
- **Location:** Atlanta, GA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $170,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Computer Vision, Big Data, C++ (Programming Language), Cloud Computing, Database Queries, Software Debugging, Distributed Systems, R (Programming Language), Python (Programming Language), Machine Learning, Natural Language Processing, Performance Tuning, Tensorflow, Azure Machine Learning, Software Deployment, Software Engineering, Model-Driven Development, Pytorch, Large Language Models, Deep Learning, Generative AI, Agentic-AI, AI Platforms, Scikit Learn, Machine Learning Operations, Virtual Agents, Api Design, Data Pipelines, Docker, Programming Languages
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/artificial-intelligence-machine-learning-engineer-vice-president-ai-labs-atlanta-ga--49943e5e-e768-44d3-b504-7bea9bf9773c

## About the Role

Artificial Intelligence (AI), Machine Learning, Artificial Intelligence (AI), Risk Management, Asset Management, Customer Experience, Operations Management, Financial Services, Machine Learning, Statistics, * 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$170,000.00 - USD$220,000.00 . 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.

## Description

* 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.