Lead Machine Learning Engineer - Agentic AI, Vice President

Are you passionate about building the next generation of AI solutions? Join us to lead and mentor a team of talented engineers, drive innovation in generative and agentic AI, and deliver impactful, scalable technology for Risk Technology.

You'll collaborate with cross-functional partners and play a key role in shaping the future of Asset and Wealth Management Risk.

As a Lead Machine Learning Engineer - Agentic AI in Risk Technology, you will lead a specialized technical area, driving impact across teams, technologies, and projects.

You will leverage your expertise in software engineering and multi-agent system design to deliver complex, high-impact initiatives.

You will mentor and guide a team of engineers, foster best practices in ML engineering, and partner with data science, product, and business teams to deliver end-to-end solutions that drive value for the Risk business.

Job responsibilities:


* Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions for the Risk business.


* Design and execute enterprise-wide, reusable AI/ML frameworks and core infrastructure to accelerate AI solution development.


* Develop multi-agent systems for orchestration, agent-to-agent communication, memory, telemetry, and guardrails.


* Guide research on context and prompt engineering techniques to improve prompt-based model performance, utilizing libraries such as SmartSDK and LangGraph.


* Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale.


* Build and maintain data pipelines and processing workflows for scalable, efficient data consumption.


* Write secure, high-quality production code and conduct code reviews.


* Partner with Data Science, Product, and Business teams to identify requirements and develop solutions.


* Communicate technical concepts and results to both technical and non-technical stakeholders, including senior leadership.


* Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning.

Required qualifications, capabilities, and skills:


* Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.


* 10+ years of experience in machine learning engineering.


* Strong proficiency in Python and experience deploying end-to-end pipelines on AWS.


* Hands-on experience in system design, application development, testing, and operational stability.


* Experience using LangGraph or SmartSDK for multi-agent orchestration.


* Experience with AWS and infrastructure-as-code tools such as Terraform.

Preferred qualifications, capabilities, and skills:


* Strategic thinker with the ability to drive technical vision for business impact.


* Demonstrated leadership working with engineers, data scientists, and ML practitioners.


* Familiarity with MLOps pract...