Responsible AI Engineer Manager or Senior Manager

Accenture

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, ILMilwaukee, WIDallas, TXColumbus, OHKirkland, WACincinnati, OHNew York, NYCleveland, OHOklahoma City, OKAustin, TXAlbany, NYSt. Pete, FLHartford, CTPittsburgh, PASt. Louis, MOMiami, FLSacramento, CARaleigh, NCMinneapolis, MNMountain View, CAScottsdale, AZSan Francisco, CAMorristown, NJDenver, COBoston, MAPhiladelphia, PADes Moines, IAOverland Park, KSLos Angeles, CACharlotte, NCWalnut Creek, CACarmel, CASeattle, WAHouston, TXArlington, TXAtlanta, GAOrlando, FLRedmond, WABentonville, ARBeaverton, ORNashville, TNDetroit, MISan Diego, CA
Salary
$94,400–$293,800 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k
This role $194k
$70k $318k
below market most similar roles pay here above market

This role pays less than 60% of similar roles. Most pay $167,500–$246,150 — the blue band above. At the midpoint, this role pays about $194k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 246 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 170 roles with salary data.

Most-posted roles

View all roles at Accenture

At a glance

TL;DR · Responsible AI Engineer Manager or Senior Manager

JOB TITLE: Responsible AI Engineer Manager/Senior Manager The Responsible AI Engineer Manager/Senior Manager joins the Global Responsible AI team within the Global Data & AI Practice. This role involves building state-of-the-art models to solve complex business challenges while ensuring AI systems adhere to ethical norms, laws, and regulations. Key responsibilities include developing AI solutions, detecting and mitigating risks like bias, fairness, robustness, and explainability, and supporting client sales conversations. You will participate in the full development lifecycle, including data preparation, coding, testing, and deployment. Required technical skills include proficiency in Python, R, or Java, and experience with frameworks like Scikit-learn, TensorFlow, or PyTorch. You must also understand cloud platforms like AWS, Azure, or Google Cloud, and possess expertise in statistics, deep learning, and natural language processing to ensure technically sound and equitable AI deployment.

What you'll do

  • Develop and implement AI models and solutions that prioritize ethical and responsible practices.
  • Detect, evaluate, and mitigate risks related to bias, fairness, robustness, explainability, and privacy in AI systems.
  • Participate in the full AI development lifecycle including data preparation, coding, testing, and deployment.
  • Optimize and maintain existing AI systems to ensure ongoing performance and adherence to ethical standards.
  • Support client sales conversations and assist in the preparation of project proposals.
  • Contribute to the development of internal guidelines, best practices, and technical training for responsible AI.
  • Document AI development processes and maintain transparent records of methodologies and decisions.
  • Identify and correct biases within datasets and machine learning models.

What we're looking for

  • Bachelor's degree in Computer Science, AI, Data Science, or related field, or equivalent work experience.
  • Minimum of 5 years of experience developing and evaluating machine learning models and AI solutions.
  • Experience in AI model fairness, transparency, explainability, robustness, soundness, and privacy.
  • Proficiency in Python, R, or Java and familiarity with frameworks like Scikit-learn, TensorFlow, or PyTorch.
  • Experience with rapid API development (Django, Flask, or FastAPI), version control (GitHub, Bitbucket), and database management.
  • Working knowledge of cloud services (AWS, Azure, or Google Cloud) and ability to perform data preprocessing on complex datasets.
  • Additional courses in responsible AI, certifications in data science, or experience with AI ethics and regulatory frameworks (preferred).

More like this

Similar roles

Responsible AI Engineer Specialist

Accenture

Chicago, IL +42 2 days ago $70,350–$205,800
Python R Java TensorFlow PyTorch Scikit-learn Django Flask FastAPI AWS Azure Google Cloud Hadoop Spark GitHub Bitbucket Deep Learning Natural Language Processing Computer Vision Generative AI
10+ yrs exp Hybrid

Responsible AI Engineering Senior Manager

Accenture

Atlanta, GA +42 29 days ago $132,500–$338,300
LLMOps MLOps Agentic AI AWS Azure Cloud Data Science AI Engineering FinOps red-teaming Model Risk Management Multi-agent Orchestration Data Governance AI Security Explainability Bias Testing
10+ yrs exp Hybrid

Senior Manager, AI Engineer

Capital One Financial

San Jose, CA +3 31 days ago
LLM Inference VectorDBs PyTorch Python C++ CUDA Golang C# AWS Huggingface MLOps Similarity Search AI Observability Foundation Model Training Agentic AI Google Cloud Azure
6+ yrs exp

Senior AI Engineer

Allstate

Remote (IL) 177 days ago $100,000–$170,500
Python Large Language Models (LLMs) Agentic AI RDF OWL SPARQL Knowledge Graphs Microsoft Fabric Microsoft Azure LangChain Spark SQL ETL ELT CI/CD MLOps LLMOps Microservices
6+ yrs exp Remote

Senior AI Engineer

Abbott

Remote (United States) 150 days ago
Go AI ML SaaS RESTful APIs Microservices SQL Server PostgreSQL Kubernetes Docker Terraform CI/CD Linux MLOps Vector Databases Distributed Systems Message Queues Event-driven Architecture Infrastructure Automation Observability
8+ yrs exp Remote