Senior Applied AI Specialist
Atlanta, GA - USA
Job Summary
As a Senior Applied AI Specialist reporting to VP Head of eVestment Enterprise Revenue youll play a critical role in helping Nasdaqs largest institutional clients design integrate and deploy production-ready AI solutions powered by eVestment data. Youll serve as a trusted technical advisor translating AI ambition into measurable business value for global asset managers consultants and asset owners.
Youll thrive in this position if youre 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
- Bachelors 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
Were 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 Nasdaqs 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.
Nasdaqs 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.
Required Experience:
Senior IC
About Company
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