Senior Applied AI Specialist

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 the VP, Head of eVestment Enterprise Revenue, you will play a critical role in helping Nasdaq’s largest institutional clients design, integrate, and deploy production‑ready AI solutions powered by eVestment data. You will serve as a trusted technical advisor, translating AI ambition into measurable business value for global asset managers, consultants, and asset owners.

• 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.

• 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.

• 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 three days a week in‑office, subject to change, providing flexibility and accessibility for qualified candidates.

We are 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.

• 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.