Senior Technical Director (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Technical Director (AI): Leading the machine learning and algorithmic strategy for enterprise mainframe operational analytics products with an accent on high-volume telemetry and system performance. Focus on architecting large-scale ML systems, driving technical best practices, and mentoring senior engineering talent to deliver scalable, explainable AI solutions.
Location: Must be based in the United States
Salary: $200,500–$270,000
Company
A leading provider of enterprise modernization software focused on applying AI to mission-critical systems.
What you will do
- Define and lead the machine learning and algorithmic strategy across infrastructure, application, and data modernization business lines.
- Architect large-scale ML and data processing systems operating on high-volume operational data like z/OS telemetry and log streams.
- Act as a hands-on technical leader, guiding teams through the full feature lifecycle from problem framing to operationalization.
- Establish technical standards for model training, evaluation, explainability, and lifecycle management.
- Collaborate with domain experts to translate system knowledge into scalable, data-driven intelligence.
- Mentor senior technical staff and contribute thought leadership on applied AI and enterprise analytics.
Requirements
- 12+ years of experience in software engineering, ML systems, or advanced algorithm development.
- Proven track record of delivering ML or algorithmic systems into production at scale.
- Strong coding skills in Python and Java with foundations in optimization and statistics.
- Experience building analytics solutions tied to system behavior, performance, or observability.
- Demonstrated ability to lead through technical influence across organizational boundaries.
- Must be authorized to work in the United States.
Nice to have
- Strong experience with mainframe systems (z/OS, SMF, RMF, Db2).
- Familiarity with distributed computing frameworks like Spark, Flink, or Ray.
- PhD in Computer Science, Machine Learning, or a related field.
- Experience designing explainable or compliance-aware ML solutions.
Culture & Benefits
- Unlimited vacation time plus paid holidays and sick leave.
- Comprehensive health and wellness coverage for employees and dependents.
- Fidelity 401(k) and Roth retirement savings with matching contributions.
- Monthly student debt benefit program.
- Tuition and certificate reimbursement opportunities.
- Leadership and skills training programs.
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