2 часа назад
Senior Decision Scientist (Generative AI)
150 000 - 160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Decision Scientist (Generative AI): Delivering end-to-end generative AI solutions using LLMs, RAG, and AI agents for BFSI use cases with an accent on translating business needs into AI product roadmaps and deploying scalable solutions on AWS. Focus on coordinating business, data science, and engineering teams, governing model performance, and addressing compliance and model risk requirements.
Location: Remote in California, supporting EST hours
Salary: $150,000–$160,000 per year, plus potential discretionary bonus
Company
is a strategic AI partner serving Fortune 500 companies and building enterprise decision-intelligence solutions.
What you will do
- Own end-to-end delivery of generative AI solutions using LLMs, RAG, and AI agents for BFSI use cases.
- Translate business requirements into AI product roadmaps, user stories, and technical requirements.
- Coordinate business stakeholders, data scientists, and engineering teams as the primary liaison.
- Drive production deployments on AWS with attention to scalability, governance, and compliance.
- Define success metrics and oversee model performance, adoption, and business outcomes.
- Track advancements in generative AI, agentic AI, and enterprise AI platforms.
Requirements
- Bachelor’s or master’s degree in computer science, data science, engineering, or a related field.
- 6–10 years of experience in AI/ML, data science, or AI product management.
- Experience leading cross-functional teams as a Product Owner or Product Manager.
- Strong knowledge of LLMs, RAG, prompt engineering, embeddings, AI agents, Agentforce, and NotebookLM.
- Hands-on understanding of Python, machine learning frameworks, and AWS services including SageMaker, S3, Lambda, and API Gateway.
- Experience deploying AI solutions in production and familiarity with BFSI domains such as risk, lending, fraud, compliance, or customer analytics.
Nice to have
- Experience with agentic AI frameworks and enterprise AI deployments.
- Knowledge of AI governance, model risk management, and BFSI regulatory requirements.
- AWS or AI-related certifications.
Culture & Benefits
- Full-time employment with health, dental, vision, life insurance, and disability plans.
- Benefits eligibility begins on the first day of employment.
- 401(k) eligibility after 30 days.
- 11 paid holidays and 12 weeks of parental leave.
- Flexible “free time” PTO policy for vacation or sick time.
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