Lead AI / ML Engineer

Accenture PLC; New York (NY); Hybrid; USD 87,000 - 294,000; Full time

Job summary

Accenture is seeking an experienced Responsible AI Engineer to join the Global Responsible AI team. You will build state-of-the-art models addressing business challenges while evaluating fairness, transparency, robustness, and privacy in client projects.

You will lead end-to-end AI development, collaborate with clients and teams, and help advance responsible AI practices across engagements. Travel may be required as client work dictates.

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science (or related technical fields) or equivalent (minimum 12 years) work experience.
• Minimum of 6 years of experience in developing and deploying machine learning models and AI solutions; at least 2 from Statistics/Probability, Regression, Clustering, Deep Learning, NLP, CV, Time Series, ML Visualization.
• Proficiency in Python, R, or Java; familiarity with TensorFlow, PyTorch; experience with big data technologies (Hadoop, Spark).
• Database management and data processing.
• Understanding and working knowledge of cloud services (AWS, Azure, Google Cloud) related to AI.

Responsibilities

• Developing and implementing AI models and solutions with a focus on ethical and responsible practices.
• Detecting, evaluating and applying RAI dimensions (bias, fairness, robustness, explainability) in AI systems; mitigate identified risks; support client sales conversations.
• Optimizing and maintaining existing AI systems for enhanced performance and adherence to ethical standards.
• Participating in the full AI development lifecycle: data prep, design, coding, testing, deployment, support.
• Contributing to internal guidelines, best practices for responsible AI development and technical training.
• Staying updated with current AI trends and regulatory considerations.
• Assisting in identifying and correcting biases in datasets and AI models.
• Documenting AI development processes and maintaining transparent records.

Skills

Python

R

Java

TensorFlow

PyTorch

Hadoop

Spark

Big data

Cloud platforms

Data processing

Data analysis

Education

Bachelor's degree in CS/AI/DS

Tools

TensorFlow

PyTorch

Hadoop

Spark

SQL

Job description

We are:

Accenture’s Global Responsible AI team within the Global Data & AI Practice. AI is becoming more pervasive, more powerful and more accessible. With these new opportunities come increased risks. We work with leading organizations to ensure AI is designed, built and deployed in a manner that engenders trust and adheres to laws, regulations and ethical norms. Our Responsible AI strategy will enable us to embed responsibility into all of Accenture’s data and AI activities. We’re developing and deploying differentiated IP and Responsible AI solutions with our ecosystem partners. We’ll be engaging regulators to help shape the policy agenda, conducting pioneering research with academia and offer training and resources to our clients through the Responsible AI Academy. The risks of AI are real and well- known. Let’s help our clients turn those risks into opportunities.

You are:

We’re looking to grow our Responsible AI team and if you’re an experienced RAI Engineer with a Responsible AI background, we’d love to hear from you.

As a Responsible AI Engineer, you’ll be experienced in building state of the art models to solve difficult business challenges. But you’ll also have at least a year’s experience looking at responsible aspects such as AI model Fairness, Transparency, Explainability, Robustness, Soundness and Privacy – preferably gained in a client-facing environment.

You’ll be a problem solver who is passionate about all things data. You’ll be excited by difficult modelling challenges, and you’ll enjoy working with like-minded people who thrive on pushing the boundaries of the possible. You’ll be an outstanding technical specialist with the strong communication skills needed to liaise with your clients and your colleagues.

At the forefront of the industry, you’ll help make our Responsible AI vision a reality for clients looking to better serve their customers and operate always-on enterprises. We’re not just focused on increasing revenues – our technologies and innovations are making millions of lives easier and more comfortable. But above all, we’re doing this responsibly and inclusively – to make sure AI technology is used equitably and in a way that is both ethically and technically sound.

The work:

You’ll be a key player helping to deliver outstanding work for our Responsible AI clients. Some of the areas you’ll be working in include:

• Developing and implementing AI models and solutions, focusing on ethical and responsible practices.
• Detecting, evaluating and applying relevant RAI dimensions (bias, fairness, robustness explainability etc.) in AI systems; work on mitigating the identified risks. Supporting client sales conversations and proposal preparation
• Optimizing and maintaining existing AI systems for enhanced performance and adherence to ethical standards.
• Participating in the full AI development lifecycle, including data preparation, design, coding, testing, deployment, and support.
• Contributing to the development of internal guidelines, best practices for responsible AI development and technical training.
• Staying updated with current AI trends, ethical considerations, and technological advancements.
• Assisting in the identification and correction of biases in datasets and AI models.
• Documenting AI development processes and maintain a transparent record of decisions and methodologies used.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here’s What You Need:

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science (or related technical fields) or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Minimum of 6 years of experience in the following:

• Developing and deploying machine learning models and AI solutions. At least 2 from the following: Statistics and Probability Theory, Regression Modelling, Clustering Methods, Deep Learning, Neural Networks, Natural Language Processing, Text Mining, Computer Vision, Image Recognition, Time Series Forecasting, Machine Learning Visualization Tools, Tree Ensembles
• Proficiency in programming languages like Python, R, or Java. Familiarity with AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Experience on big data technologies and tools (e.g., Hadoop, Spark).
• Database management and data processing.
• Understanding and working knowledge of cloud services and platforms (e.g., AWS, Azure, Google Cloud) related to AI.

Professional Skills Requirements

• Demonstrated ability to work with complex datasets and perform data preprocessing and analysis.
• Strong problem-solving and analytical skills.
• Ability to work collaboratively in a team environment and communicate effectively with team members.
• Commitment to ethical AI development and continuous learning in the field.
• Ability to manage multiple projects and priorities in a fast-paced environment.
• Excellent documentation and presentation skills for technical and non-technical audiences.

Bonus Points If You Have:

• Additional courses or training in areas related to responsible AI, ethics in technology, or similar fields are beneficial.
• Certifications in AI, machine learning, or data science.
• + 6 years of experience in projects focused on ethical AI or AI for social good.
• Knowledge of AI ethics, data privacy, and regulatory frameworks.
• + 6 years of Experience with AI model interpretability and explainability tools. Specialized visualization techniques (D3.js, ggplot etc.)
• + 6 years of Project Management Experience
• Linguistic proficiency (to a reasonable business level) in a language other than English

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 11/20/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

California $94,400 to $293,800

Colorado $94,400 to $253,800

Connecticut $94,400 to $253,800

District of Columbia $100,500 to $270,300

Illinois $87,400 to $253,800

Maine $80,400 to $216,200

Maryland $94,400 to $253,800

Massachusetts $94,400 to $270,300

Minnesota $94,400 to $253,800

New York $87,400 to $293,800

New Jersey $100,500 to $293,800

Ohio $87,400 to $235,000

Virginia $87,400 to $270,300

Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 [phone] or send us an email or speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity and Aff…Statement

Accenture is an EEO and Aff…

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.