Front Office Applied AI Engineer – Global Markets Distribution

Our Client, an IT Services and Consultant company, is looking for a Front Office Applied AI Engineer – Global Markets Distribution for their Newark, NJ/NY/Hybrid location.
 
Responsibilities:

• Build AI Solutions for Sales
• Design and deploy AI agents, copilots, and workflow automations for Equities and Fixed Income Sales.
• Build additional tools that help salespeople prepare for meetings, prioritize clients, identify opportunities, distribute research, and generate market commentary.
• Create reusable prompt libraries, agent frameworks, and workflow templates.
• Develop next-best-action, client prioritization, and cross-sell recommendation capabilities.
• Deliver Commercial Analytics
• Build additional dashboards and analytics tools for Sales, Management, and COO teams.
• Develop revenue, wallet share, market share, pipeline, client activity, and coverage analytics.
• Integrate CRM, research, holdings, market activity, and sales data into actionable insights.
• Automate recurring reporting and management information workflows.
• Engineer for Production
• Design and build production-grade applications, APIs, workflows, and data products.
• Apply modern software engineering practices including testing, source control, CI/CD, monitoring, documentation, and release management.
• Partner with Technology, Data, Compliance, and Risk teams to deploy scalable and supportable solutions.
• Build Responsible AI
• Implement evaluation and monitoring frameworks for AI applications.
• Measure and improve quality, accuracy, hallucination risk, latency, cost, adoption, and user feedback.
• Ensure solutions are controlled, auditable, permissioned, and compliant.
• Build AI workflows that respect data entitlements, access controls, and governance requirements.

• Applied AI & Engineering
• Expert Python and strong SQL skills.
• Experience building production AI applications and agent-based workflows.
• Experience with LLMs, prompt engineering, RAG, semantic search, vector databases, and agentic frameworks.
• Familiarity with Azure OpenAI, Copilot Studio, Semantic Kernel, LangChain, CrewAI, AutoGen, or similar technologies.
• Experience with APIs, workflow orchestration, data pipelines, and enterprise integrations.
• Understanding of LLMOps, model evaluation, observability, monitoring, testing, and AI governance.
• Cloud & Platform Engineering
• Experience deploying applications on enterprise cloud platforms.
• Understanding of DevOps, CI/CD, containerization, identity management, monitoring, and access controls.
• Ability to build solutions that scale beyond prototype environments.
• Data Governance
• Experience working with sensitive business data in controlled environments.
• Understanding of entitlements, information barriers, auditability, and permissioning.
• Ability to build AI solutions grounded in approved and governed data sources.
• Commercial & Front Office Knowledge
• Strong understanding of institutional sales workflows and client coverage models.
• Familiarity with CRM workflows, client prioritization, research distribution, market commentary, and sales productivity tools.
• Understanding of revenue attribution, wallet share, market share, pipeline management, and client analytics.
• Working knowledge of Equities, Fixed Income, Credit, Rates, FX, Financing, or related capital markets businesses.
• Ability to engage credibly with Sales, Trading, Research, COO, Technology, and Compliance stakeholders.
• Sitting beside a salesperson discussing client coverage challenges.
• Building AI agents and workflows in Python.
• Writing complex SQL and data pipelines.
• Designing dashboards and analytics.
• Integrating enterprise systems and APIs.
• Monitoring and improving AI performance in production.
• Explaining technical concepts to senior business leaders.
• Taking a solution from idea to production deployment.
• You thrive in ambiguity, move quickly, and care deeply about building products that people actually use.

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities