AI Engineering- Finance

Johnson & Johnson

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$102,000–$177,100 / yr
Posted
3 days ago
Closes
Jun 15, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $140k
$85k most similar roles pay here $263k

This role pays less than 89% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $140k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 71 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 68 roles with salary data.

Most-posted roles

View all roles at Johnson & Johnson

At a glance

TL;DR · AI Engineering- Finance

The Finance AI Engineering Manager role at Johnson & Johnson is a senior leadership position within the SigniFi program, focusing on driving AI transformation in finance technology. This individual will lead the implementation of an AI-enabled SDLC and develop predictive analytics, intelligent automation, and generative AI solutions across SAP S/4HANA, Treasury systems, FlexOps platforms, and SAP BTP. Key responsibilities include defining the AI roadmap for Finance processes, embedding AI into development workflows, and ensuring robust data governance and compliance standards. The ideal candidate has a strong background in AI/ML, enterprise platforms like SAP, and experience with tools such as Python, ML frameworks, and RPA solutions. This role requires expertise in finance processes and cross-functional leadership to drive organizational adoption of AI capabilities globally.

What you'll do

  • Define and implement AI roadmap for Finance Technology initiatives.
  • Design and embed AI-first SDLC frameworks across global finance platforms.
  • Lead the deployment of predictive analytics and intelligent automation solutions.
  • Ensure seamless integration between AI models and SAP ecosystems.
  • Drive organizational adoption and upskill teams on new AI technologies.

What we're looking for

  • 8+ years of experience in technology with AI/ML and enterprise systems
  • Strong background in AI/ML concepts, predictive models, NLP, and generative AI
  • Experience with SAP S/4HANA or similar enterprise platforms
  • Proven leadership in driving transformation initiatives and implementing automation at scale
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
  • Knowledge of Finance processes (Record-to-Report, Treasury, Planning) preferred

More like this

Similar roles

AI Engineering Manager for Banking Technology

Citi

Remote (Irving, TX) 23 days ago $156,160$234,240
Python Java Spring Boot JavaScript TypeScript Angular Node.js TensorFlow PyTorch OpenAI Anthropic Google LLMs RAG pipelines MCPs Devin GitHub Copilot Kubernetes Docker CI/CD API design Microservices Event-driven systems
Remote

Senior AI Developer Technology Engineer, Financial Sector

Nvidia

Remote (Santa Clara, CA) 89 days ago $152,000$241,500
CUDA C++ OpenACC OpenMP MPI pthread TBB GPU CPU linear_algebra machine_learning decision_trees time_series Monte_Carlo_simulations financial_data_models pricing_risk_simulation portfolio_optimization stock_market_prediction fraud_detection quantitative_trading parallel_programming HPC AI
Remote

AI Engineer

Fiserv

Columbus, OH 12 days ago $109,000$182,400
Python R SQL Hadoop Spark Databricks Machine Learning Classification Clustering Anomaly Detection Time Series CI/CD MLOps Endpoint Protection Identity and Access Data Network Telemetry Data Visualization AWS Azure

AI Engineer

Booz Allen Hamilton

Washington, DC 71 days ago $77,600$176,000
Python LLMs MCP LangChain LangGraph C# Java microservice design edge computing Docker CUDA RAPIDs Agile