Senior Decision Scientist

Posted 5 Days Ago
Be an Early Applicant
Hiring Remotely in California, USA
Remote
150K-160K Annually
Senior level
Artificial Intelligence • Consulting
The Role
Owns end-to-end delivery of generative AI solutions, including LLMs, RAG, and AI agents, for BFSI applications. Translates business needs into AI product roadmaps and technical requirements, coordinates business, data science, and engineering teams, and leads AWS deployments. Defines success metrics and monitors model performance, adoption, governance, compliance, and business outcomes while staying current with agentic AI and enterprise AI platforms.
Summary Generated by Built In

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.


Location: Remote (supporting EST hours)

Job Description

Key Responsibilities

  • Own the end-to-end delivery of Generative AI solutions (LLMs, RAG, AI Agents) for BFSI use cases.
  • Act as the primary liaison between business stakeholders, data scientists, and engineering teams.
  • Translate business requirements into AI product roadmaps, user stories, and technical requirements.
  • Drive solution deployment on AWS and ensure alignment with scalability, governance, and compliance standards.
  • Define success metrics and oversee model performance, adoption, and business outcomes.
  • Stay current with advancements in GenAI, agentic AI, and AI platforms.

 

Required Qualifications


  • Bachelor's/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, ML frameworks, and AWS services (SageMaker, S3, Lambda, API Gateway, etc.).
  • Experience deploying AI solutions in production environments.
  • Familiarity with BFSI domains such as risk, lending, fraud, compliance, or customer analytics.

Preferred Qualifications 

Experience with agentic AI frameworks and enterprise AI deployments.

Knowledge of AI governance, model risk management, and BFSI regulatory requirements.

AWS and/or AI-related certifications preferred 


Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $150,000 - $160,000. In addition, you may be eligible for a discretionary bonus for the current performance period. 


Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of Employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Not the right fit?  Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Skills Required

  • 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 environments
  • Familiarity with BFSI domains such as risk, lending, fraud, compliance, or customer analytics
  • Experience with agentic AI frameworks and enterprise AI deployments
  • Knowledge of AI governance, model risk management, and BFSI regulatory requirements
  • AWS and/or AI-related certifications

Fractal Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.

  • Healthcare Strength — Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
  • Leave & Time Off Breadth — Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
  • Flexible Benefits — Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.

Fractal Insights

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The Company
HQ: New York, NY
5,262 Employees

What We Do

Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.

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