Senior Applied AI Specialist

Senior Applied AI Specialist USA - Atlanta - Georgia Irving, Texas USA - Boston - Massachusetts USA - New York City - New York Full time Posted Today R0025972 Nasdaq eVestment™ is the leading institutional investment data and analytics platform—connecting asset managers, consultants, and asset owners through a centralized ecosystem of trusted intelligence and powering $90T+ in smarter, faster investment decisions through proprietary data and AI/ML‑driven workflows. As a Senior Applied AI Specialist reporting to VP, Head of eVestment Enterprise Revenue, you'll play a critical role in helping Nasdaq's largest institutional clients design, integrate, and deploy production-ready AI solutions powered by eVestment data. You'll serve as a trusted technical advisor, translating AI ambition into measurable business value for global asset managers, consultants, and asset owners. You'll thrive in this position if you're collaborative, technically credible, and bring a passion for solving complex problems in a fast-paced, high-impact environment where AI is reshaping how $90T+ in investment decisions are made. Key Responsibilities Lead end-to-end technical delivery for enterprise AI engagements, from discovery and architecture through production deployment and optimization. Translate client workflows and business objectives into scalable, enterprise-ready AI/ML architectures using Nasdaq eVestment data. Serve as the senior technical advisor guiding clients through system design, model integration, data pipelines, and deployment strategies. Partner with client engineering, data, security, and compliance teams to navigate enterprise requirements and remove delivery blockers. Drive adoption and expansion by collaborating with Sales and Client Success to deepen relationships and identify new AI use cases. Required Qualifications Bachelor's degree in computer science, engineering, applied mathematics, or equivalent practical experience. 5+ years in a technical, client-facing role such as Solutions Architect, Data Scientist, or Technical Account Manager. Hands-on experience delivering AI, ML, or LLM-based systems into enterprise production environments, ideally in financial services or regulated industries. Strong Python proficiency with experience building and supporting production-grade AI systems. Familiarity with AI data platforms such as Databricks, Snowflake, Azure, or Redshift, and LLM ecosystems including OpenAI and Anthropic. Preferred Qualifications Relevant cloud, data, or AI certifications (e.g., AWS, Azure, Databricks). Experience with data modeling, analytics architectures, and warehouse design patterns. Strong understanding of data governance, security, ethics, and responsible AI deployment. This position will be located in Atlanta, Dallas or Boston and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates. Come as You Are Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. What We Offer We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success. In addition to base salary, Nasdaq offers significant other compensation (annual bonus/commissions and equity), benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands. Nasdaq’s programs and rewards are intended to allow our employees to: Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities For more information, visit Nasdaq Benefits & Rewards Career page.