Lead Agentic Gen AI - Natural Language Querying Engineer, 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 Agentic Gen AI - Natural Language Querying Engineer, Vice President 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, multi-agent system design, data science, and NLQ to deliver complex, high-impact initiatives.

You will mentor and guide a team of engineers, foster best practices in AI 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 and agentic AI solutions for the Risk business, with a focus on natural language querying of structured and unstructured data sources.


* Design and execute enterprise-wide, reusable AI frameworks and core infrastructure to accelerate AI solution development, including NLQ capabilities for diverse data types.


* Develop multi-agent systems for orchestration, agent-to-agent communication, memory, telemetry, guardrails, and NLQ-driven data retrieval and processing.


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


* Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale, with emphasis on NLQ workflows and orchestration.


* Build and maintain data pipelines and processing workflows for scalable, efficient consumption and querying of structured and unstructured data via natural language interfaces.


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


* Partner with Data Science, Product, and Business teams to identify requirements and develop NLQ-enabled 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 data science and natural language querying, including experience deploying end-to-end pipelines on AWS.


* Strong proficiency in Python.


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


* Experience using LangGraph for multi-agent orc...