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Vice President, AI Applied Engineering
Delray Beach, FL, Chicago, New York City, Charlotte (Hybrid) • Careers@insperex.com
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Job Type
Full-time
Description
OverviewInspereX is seeking a highly capable and hands-on AI Applied Engineering leader to design,build, and embed AI capabilities directly into our core platforms, workflows, and client-facingapplications.This role will focus on translating data, analytics, and AI capabilities into practical, productiongradesolutions that enhance trading, distribution, advisor engagement, and client experienceacross platforms such as BondNav and InCapNet.Working closely with Engineering, Product, and Business leadership, this individual will play acritical role in advancing AI across the firm, moving from experimentation to real-worldapplication and measurable business impact.
Key Responsibilities• Design and implement AI and machine learning solutions directly within business workflows,trading processes, and client-facing applications• Embed AI capabilities into core platforms such as BondNav and InCapNet, including pricingsupport, trade workflows, recommendation engines, and advisor tools• Develop and deploy models supporting use cases such as:? pricing optimization and execution support? next-best-action for sales and distribution? advisor and client intelligence? portfolio optimization, risk analytics, and decision support? workflow automation and intelligent process enhancement• Work directly with business leaders and front-line associates to identify opportunities toleverage data, analytics, and AI within day-to-day workflows and decision-making• Partner with Product and Engineering teams to integrate AI into application architecture, APIs,and user experiences• Work closely with Data, AI, and Digital Enablement leadership to align AI initiatives withbroader enterprise data strategy and business priorities• Build scalable, production-grade AI systems with a focus on performance, reliability, and realtimedecisioning• Rapidly prototype and iterate on AI use cases, moving from concept to production efficiently• Ensure AI solutions are intuitive, explainable, and aligned to end-user workflows• Contribute to the development of a modern AI engineering capability across the firm
Requirements

Required Experience

• Strong hands-on experience in AI/ML engineering, data science, and advanced analytics

• Proven experience building and deploying AI/ML solutions in production environments

• Strong foundation in data analysis, statistical modeling, and translating data into actionable

insights

• Experience working directly with business stakeholders to define and implement data-driven

and AI-enabled solutions

• Experience working with financial data and/or capital markets workflows (fixed income,

trading, portfolio analytics preferred)

• Proficiency in Python and modern ML frameworks (TensorFlow, PyTorch, or equivalent)

• Experience with data platforms such as Databricks, Snowflake, or similar

• Experience integrating AI into applications via APIs, microservices, and event-driven

architecture

• Familiarity with real-time data processing and decisioning systems


Preferred Qualifications

• Experience with fixed income, structured products, or trading environments

• Exposure to pricing models, execution workflows, or market data systems

• Experience with portfolio optimization, risk modeling, and advanced analytics use cases

• Experience with GenAI, LLMs, and agent-based systems

• Experience building recommendation systems or decision-support tools

• Understanding of data governance and model lifecycle management


What Success Looks Like

• AI capabilities are embedded directly into BondNav, InCapNet, and related platforms

• Measurable improvements in trading workflows, sales effectiveness, and advisor engagement

• Increased automation and intelligence within core business processes

• Strong collaboration with business leaders and front-line teams to drive adoption of AI

capabilities

• Faster time-to-market for AI-enabled features and capabilities


Why This Role Matters

This role represents a key step in advancing InspereX’s AI strategy, moving beyond

experimentation to directly integrating AI into the firm’s core platforms, workflows, and

decision-making processes.

The successful candidate will help shape how data, analytics, and AI drive real business impact

across trading, distribution, risk, and client engagement.

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