Director, AI/ML and Data Architecture

Director, AI/ML and Data Architecture Fidelity Investments - 4.0 Durham, NC Job Details 1 day ago Qualifications Data model design Data modeling projects Data migration Relational databases Bachelor of Science C# System design Test automation NoSQL Data quality management Pattern recognition Data Architecture Design (Architecture design skills) Analysis skills Bachelor's degree Cloud-based systems Master of Science Mainframe COBOL Data analytics System architecture design Senior level AI Batch data processing Cross-functional collaboration Prototypes Generative AI 10 years

Full Job Description Job Description:

Note:

Fidelity will not provide immigration sponsorship for this position. In this leadership role, you will drive the Data Architecture and Data platform modernization for the Workplace Investing division of Fidelity Investments. You will work with Enterprise Architects to define strategies to modernize legacy systems, leveraging AI/ML‑enabled approaches for mainframe and legacy platform modernization, along with other leading‑edge initiatives. You will collaborate closely with business partners and technology teams to understand business objectives and define the appropriate architectural direction.

The Expertise You Have Education:

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 to create a unified Fidelity Architecture Strategy Experience partnering with Fidelity Legal, Risk, Compliance, and Cybersecurity teams to ensure safe and secure handling of enterprise, client, and customer data in public cloud environments The Data Architecture Skills You Bring Experience designing, building, and modernizing large‑scale, resilient, and high‑performance data platforms supporting both operational and analytical workloads 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, especially involving legacy systems and cloud‑native platforms Deep understanding of relational and non‑relational data stores, with the ability to make and clearly articulate architectural trade‑offs Strong knowledge of data processing, data movement, and integration patterns across batch, streaming, and event‑driven architectures Expertise in evaluating, prototyping, and recommending technologies based on business, architectural, and operational needs 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 different consumption patterns, including operational, analytical, AI/ML, and API‑driven use cases The AI / ML Skills You Bring Strong understanding of AI/ML and Generative AI concepts (such as LLMs, embeddings, and retrieval‑augmented generation), and how they are applied within modern enterprise platforms, including data pipelines, models, and AI‑enabled services Experience using AI to modernize legacy systems, including AI‑assisted code analysis, automated documentation, and system knowledge extraction from legacy technologies (e.g., COBOL, .NET, C#), as well as modern code generation Ability to leverage AI and development assist tools (such as spec‑driven development, AI‑assisted design reviews, and automated test case generation) to improve the software development lifecycle (SDLC), accelerating design, build, testing, and migration activities during legacy‑to‑modern transformations Familiarity with AI‑powered engineering productivity tools, including code assistants, modernization accelerators, and automated testing and quality‑validation solutions (e.g., GitHub Copilot, Claude, Gemini) Hands‑on enough to design and lead proof‑of‑concepts (POCs) that demonstrate the value of AI and GenAI in platform modernization, without acting as a full‑time developer Understanding of responsible AI practices, including data governance, model risk, explainability, and compliance considerations in regulated environments Ability to communicate how AI‑enabled modernization improves speed, quality, and scalability, and to clearly articulate value, trade‑offs, and risks to business and technology leaders You don't need to have all the above skills but if you have experience working in these areas and experience modernizing the legacy platform, you could be a good fit for this role. Ability to learn and adapt along with critical thinking are essential.

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Category:

Information Technology Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.