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Director, AI/ML, Data Architecture
Job in
Hudson, Hillsborough County, New Hampshire, 03051, USA
Listed on 2026-07-20
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-20
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Data Engineering
Job Description & How to Apply Below
Responsibilities
- Drive the Data Architecture and Data platform modernization for the Workplace Investing division
- Work with Enterprise Architects to modernize legacy systems
- Collaborate closely with business partners and technology teams
- BS or MS required
- 10+ years of experience working with data and databases
- Experience architecting large, complex systems with high‑volume and high‑performance requirements
- Ability to work collaboratively with Enterprise Architects across business units
- Experience partnering with Fidelity Legal, Risk, Compliance, and Cybersecurity teams
- Experience designing, building, and modernizing large‑scale, resilient, and high‑performance data platforms
- Ability to develop conceptual and logical data models aligned to business outcomes
- Ability to define phase‑wise modernization and implementation strategies for large, multi‑year platform programs
- Strong experience with data migration strategies and patterns
- Deep understanding of relational and non‑relational data stores
- Strong knowledge of data processing, data movement, and integration patterns
- Expertise in evaluating, prototyping, and recommending technologies
- Strong understanding of resiliency, security, privacy, and cloud deployment patterns
- Proven experience in data quality, large‑scale data analysis, pattern identification, and insight generation
- Experience designing data stores optimized for operational, analytical, AI/ML, and API‑driven use cases
- Strong understanding of AI/ML and Generative AI concepts
- Experience using AI to modernize legacy systems
- Ability to leverage AI and development assist tools
- Familiarity with AI‑powered engineering productivity tools
- Hands‑on enough to design and lead proof‑of‑concepts (POCs)
- Understanding of responsible AI practices
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