below marketmost similar roles pay hereabove market
This role pays more than
72%
of similar roles. Most pay
$162,000–$220,023
— the blue band above.
At the midpoint, this role pays about
$212k
versus about
$191k
for comparable roles.
Based on 240 similar postings.
Employer
About Intuit
Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology
Intuit currently has
255 open roles
on FindRole.
Listed pay typically runs
$202,500–$274,000
across 236 roles with salary data.
As a Senior AI Scientist, you will join the Foresight team to design and build agentic systems that solve open-ended problems and produce accurate, deterministic outputs for production. You will develop Python-based systems capable of multi-step planning, tool use, and structured output generation while ensuring non-determinism is contained for human review. Key responsibilities include designing human-in-the-loop experiences, defining evaluation methodologies with ground-truth datasets, and managing service deployment with tracing and observability. You will utilize technologies including LangGraph, LangChain, Agent SDKs, SQL, and the Model Context Protocol. The role requires reasoning across entities in different systems and migrating between emerging frameworks. You will apply large language models to production problems, focusing on prompt design, retrieval-augmented generation, and context management to deliver reliable results.
Design and build agentic AI systems in Python to solve open-ended problems and produce deterministic outputs.
Produce reviewable artifacts from agent runs that human experts can inspect and approve.
Design human-in-the-loop review experiences to provide domain experts with visibility and control.
Define and own evaluation methodologies by constructing ground-truth datasets and designing metrics for output correctness.
Trace information across different systems back to their systems of record and establish data access.
Deploy capabilities to production including responsible AI review, service deployment, tracing, and observability.
Evaluate and migrate systems between emerging agentic frameworks, protocols, and tooling as the ecosystem evolves.
Prototype rapidly using generative AI and independently identify and unblock cross-team dependencies.
What we're looking for
Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
4+ years of experience in the job offered or in an AI Scientist, Machine Learning, or Data Science related occupation.
Experience building agentic AI applications in Python using frameworks like LangGraph, LangChain, Agent SDKs, or equivalent.
Experience designing and implementing evaluation frameworks for LLMs and agentic systems, including ground-truth datasets and trajectory-level metrics.
Experience applying LLMs to production problems using prompt design, retrieval-augmented generation, and context management.
Experience reasoning over structured and semi-structured data using SQL and related data retrieval tools.
Foundational machine learning knowledge to reason about model behavior, failure modes, and evaluation validity.
Experience deploying and operating services in cloud environments like AWS, including containerized deployment, tracing, and observability.
Python
PyTorch
TensorFlow
Deep Learning
Reinforcement Learning
LLMs
Probabilistic Modeling
Causal Inference
Multi-Agent Systems
Neuro-symbolic AI
Time-series Forecasting
Simulation-based Planning
Model Training
Data Science
Machine Learning