We are seeking a highly entrepreneurial Front Office
Applied AI Engineer to sit directly with our Equities and Fixed Income Sales teams and transform how Sales operates through AI, automation, analytics, and workflow innovation. This is not a strategy role or a back-office technology role. We are looking for a builder who can work directly with sales people, identify opportunities, rapidly prototype solutions, deploy them into production, and continuously improve them based on user feedback. The successful candidate will develop AI agents, copilots, CRM workflows, analytics applications, and productivity tools that improve client engagement, sales effectiveness, cross-sell opportunities, and management insight.
This role is fully on site in New York City. Only local candidates will be considered.
Role 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.
Desired Skills & ExperienceYou are equally comfortable:
- 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.
Required SkillsApplied 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.
Success in the RoleYou will have:
- Delivered multiple AI agents and workflow automations used daily by Sales.
- Reduced manual administrative workload across coverage teams.
- Improved CRM discipline, client prioritization, and sales productivity.
- Enhanced cross-sell identification and meeting preparation.
- Improved management reporting and commercial analytics.
- Established scalable AI engineering, governance, and LLMOps practices across Global Markets Distribution.
- Helped build one of the industry's most technology-enabled institutional sales organizations.
Salary and Other Compensation: Applications will be accepted until October 2nd, 2026.
The annual salary for this position is between $90,000 - $109,500 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.
