Cognizant Technology Solutions logo

Applied AI Engineer – Equities & Fixed Income Sales

Cognizant Technology Solutions·$90,000 – $109,500

Primary stack

DevOpsPythonCI/CDAzureSQL

Nice to have's

AI agentsworkflow automationsenterprise systemsanalyticscloud platforms

Job description

Applied AI Engineer – Equities & Fixed Income Sales

Date published: Sep 18, 2026

Location: New York, NY - 550 W 34th St / United States

Job category: Business Processes

Work model: On-site

About the Position

Cognizant is a large IT Consulting Firm that leverages modern technologies to transform a variety of business operations. 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.

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.

Requirements

Required Skills

  • 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, 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.

We Offer

  • Salary and Other Compensation:

    • Annual salary between $90,000 - $109,500 depending on experience and other qualifications.
    • Eligible for Cognizant’s discretionary annual incentive program, based on performance.
  • Benefits:

    • 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

About the Company

Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process, and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes, and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or follow us on Twitter.

Additional Information

  • Application Deadline: October 2nd, 2026
  • Compensation Information: Accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
  • Interview Process: Applicants may be required to attend interviews in person or by video conference. Candidates may be required to present their current state or government-issued ID during each interview.
  • Equal Opportunity Employer: Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status, or any other characteristic protected by federal, state, or local laws.
  • Reasonable Accommodation: If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.

© Cognizant Technology Solutions. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Cognizant (Nasdaq-100: CTSH) is one of the world’s leading professional services companies, transforming clients’ business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the US, Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital atwww.cognizant.comor follow us @Cognizant.

More at Cognizant Technology Solutions

All 426 roles

Popular searches