Lead AI / ML Engineer

Accenture

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NYMilwaukee, WIDallas, TXColumbus, OHKirkland, WACincinnati, OHCleveland, OHOklahoma City, OKAustin, TXAlbany, NYChicago, ILSt. 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, GARedmond, WABentonville, ARBeaverton, ORNashville, TNDetroit, MISan Diego, CA
Salary
$94,400–$293,800 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k
This role $194k
$70k $318k
below market most similar roles pay here above market

This role pays less than 62% of similar roles. Most pay $165,375–$243,600 — the blue band above. At the midpoint, this role pays about $194k versus about $204k 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 245 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 187 roles with salary data.

Most-posted roles

View all roles at Accenture

At a glance

TL;DR · Lead AI / ML Engineer

JOB TITLE: Lead AI / ML Engineer The Lead AI / ML Engineer joins the Global Responsible AI team within the Global Data & AI Practice to ensure artificial intelligence is designed, built, and deployed in accordance with ethical norms and regulations. You will develop and implement AI models while detecting and mitigating risks related to fairness, transparency, explainability, robustness, soundness, and privacy. Day-to-day responsibilities include participating in the full development lifecycle, including data preparation, coding, testing, and deployment, as well as supporting client sales conversations and documenting methodologies. You will utilize Python, R, or Java alongside frameworks like TensorFlow and PyTorch. Technical requirements include experience with deep learning, natural language processing, and big data tools like Hadoop and Spark across cloud platforms such as AWS, Azure, and Google Cloud.

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.
  • Identify and correct biases within datasets and machine learning models.
  • Document AI development processes and maintain transparent records of methodologies and decisions.
  • Contribute to the creation of internal guidelines, best practices, and technical training for responsible AI.
  • Support client sales conversations and the preparation of project proposals.

What we're looking for

  • Must have a Bachelor's degree in Computer Science, AI, Data Science, or a related technical field.
  • Must have at least 12 years of work experience if no degree is held, or 6 years if an Associate's degree is held.
  • Must have at least 6 years of experience developing and deploying machine learning models and AI solutions.
  • Must have experience in AI model fairness, transparency, explainability, robustness, soundness, and privacy.
  • Must be proficient in programming languages such as Python, R, or Java.
  • Must have familiarity with AI frameworks like TensorFlow or PyTorch, and big data tools like Hadoop or Spark.
  • Must have the ability to work with complex datasets, perform data preprocessing, and manage cloud services like AWS, Azure, or Google Cloud.

More like this

Similar roles

Lead Machine Learning Engineer

Capital One Financial

Cambridge, MA +2 73 days ago
Python Scala Java PyTorch TensorFlow scikit-learn Spark Dask AWS Bedrock Google Cloud Azure RAG Distributed Computing Data Pipelines Agile Explainable AI
6+ yrs exp

Lead Machine Learning Engineer

Capital One Financial

Plano, TX +1 58 days ago
Python Scala Java PyTorch TensorFlow Spark scikit-learn Dask AWS Azure Google Cloud Platform Distributed Computing Data Pipelines Agile Explainable AI
6+ yrs exp

AI and ML Engineer, Lead

Booz Allen Hamilton

Huntsville, AL 2 days ago $112,800–$257,000
Python TypeScript AI Spark Databricks Alteryx AWS RDS PostgreSQL Snowflake Agile Data Warehousing Streaming Applications
3+ yrs exp

Lead AI Applied ML Engineer

JPMorgan Chase

Jersey City, NJ +1 41 days ago
Python Java PyTorch TensorFlow Huggingface Transformers NeMo Databricks AWS SQL NoSQL MLOps NLP LLM Microservices Distributed Systems Vector Databases Information Retrieval
8+ yrs exp

Applied AI ML Engineer Lead

JPMorgan Chase

Palo Alto, CA +1 45 days ago
Agentic AI Machine Learning AWS SageMaker Amazon Bedrock Distributed Computing Multi-Agent Systems Experimentation Ablation Testing State Management
5+ yrs exp

AI/ML Engineer, Lead

Booz Allen Hamilton

Ashburn, VA 52 days ago $128,700–$292,000
Python MLOps LLM RAG LangChain LangGraph LlamaIndex AutoGen CrewAI AWS Azure GCP SageMaker Vertex AI Docker Kubernetes TensorRT ONNX Runtime OpenVINO TensorFlow Lite CI/CD Quantization Pruning Distillation
8+ yrs exp