3 дня назад
AI Engineering Director
210 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineering Director (Python/LLM): Building AI-native data integration and transformation capabilities for financial services with an accent on agentic architecture, RAG design, evaluation frameworks, and responsible AI. Focus on designing reliable AI pipelines, measuring model accuracy and drift, and ensuring outputs are explainable and auditable.
Location: Boston, Massachusetts; salary ranges are also specified for New York/New Jersey
Salary: $210,000–$260,000 annual base salary plus target annual bonus for MA and NY/NJ
Company
is a global financial services firm building an AI-native platform for data integrations and transformations.
What you will do
- Execute the AI strategy across LLM selection, agentic application architecture, RAG systems, prompt engineering standards, and evaluation frameworks.
- Architect and implement AI capabilities for natural-language transformation generation, integration configuration, data quality detection, and intelligent validation.
- Lead a team of AI engineers while remaining deeply hands-on and partnering with the Heads of Engineering and Design.
- Design reliable AI pipeline architecture for Agno-orchestrated workflows.
- Establish production evaluation, monitoring, continuous improvement, and model drift detection practices.
- Define responsible AI standards for accuracy, auditability, explainability, and human-in-the-loop controls in financial services.
Requirements
- 3+ years of AI/ML engineering experience and 5+ years in a product development environment.
- Player-coach experience leading teams while remaining technically hands-on.
- Expert Python proficiency and deep production experience with LLMs, RAG pipelines, prompt engineering, agentic systems, and evaluation frameworks.
- Production experience with Agno, LangChain, LlamaIndex, or comparable agentic frameworks.
- Experience with Temporal, Prefect, or Airflow, plus Azure or AWS.
- Experience with vector databases and embedding systems, and active daily use of AI coding assistants.
Nice to have
- Financial services, fintech, or other regulated-industry experience.
- MLOps and large-scale model deployment experience.
- Experience fine-tuning open-source LLMs for domain-specific tasks.
- Publications, conference talks, or open-source AI contributions.
- Experience building AI features for data tools, analytics platforms, or enterprise SaaS products.
Culture & Benefits
- Work on category-defining AI-native data integration and transformation products for financial services.
- Combine established enterprise backing with startup speed as part of a foundational in-house team.
- Receive market-rate compensation, comprehensive benefits, and potential equity for select roles.
- Benefits include long-term savings, healthcare, income protection, professional development opportunities, and time off.
- Work in a collaborative environment focused on knowledge sharing, mentoring, and diverse perspectives.
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