Lead AI / ML Engineer

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 embeds responsibility into all of Accenture’s data and AI activities. We develop and deploy differentiated IP and Responsible AI solutions with ecosystem partners, engage regulators to shape policy, conduct pioneering research with academia, and offer training through the Responsible AI Academy. The risks of AI are real—let’s help our clients turn those risks into opportunities.

About the role

We’re looking to grow our Responsible AI team. As a Responsible AI Engineer, you’ll build state-of-the-art models to solve difficult business challenges while addressing responsible aspects such as AI model fairness, transparency, explainability, robustness, soundness, and privacy—preferably with client-facing experience. You’ll be a problem solver passionate about data, excited by modeling challenges, and thrive in a collaborative environment. You’ll help make our Responsible AI vision a reality for clients, ensuring AI technology is used equitably, ethically, and technically sound.

Responsibilities

• Develop and implement AI models and solutions, focusing on ethical and responsible practices.
• Detect, evaluate, and apply relevant Responsible AI dimensions (bias, fairness, robustness, explainability) in AI systems; mitigate identified risks.
• Support client sales conversations and proposal preparation.
• Optimize and maintain existing AI systems for enhanced performance and adherence to ethical standards.
• Participate in the full AI development lifecycle: data preparation, design, coding, testing, deployment, and support.
• Contribute to internal guidelines, best practices for responsible AI development, and technical training.
• Stay updated with current AI trends, ethical considerations, and technological advancements.
• Assist in identifying and correcting biases in datasets and AI models.
• Document AI development processes and maintain transparent records of decisions and methodologies.
• Travel may be required (0–100% depending on business need and client requirements).

Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related technical field (or equivalent work experience: 12 years for Bachelor’s, 6 years for Associate’s).
• Minimum 6 years of experience developing and deploying machine learning models and AI solutions.
• Experience in at least 2 of 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 with big data technologies and tools (e.g., Hadoop, Spark).
• Database management and data processing skills.
• Understanding and working knowledge of cloud services and platforms (e.g., AWS, Azure, Google Cloud) related to AI.

Skills

• 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 technical and non-technical audiences.
• Commitment to ethical AI development and continuous learning.
• Ability to manage multiple projects and priorities in a fast-paced environment.
• Excellent documentation and presentation skills.

Bonus Qualifications

• Additional courses or training in responsible AI, ethics in technology, or similar fields.
• 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 (e.g., D3.js, ggplot).
• 6+ years of project management experience.
• Linguistic proficiency (business level) in a language other than English.

Pay

Compensation varies by location, role, skill set, and experience. The following ranges are provided as required by local law (posting valid until 09/30/2026):

• California: $94,400 to $293,800
• Cleveland: $87,400 to $235,000
• Colorado: $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
• Virginia: $87,400 to $270,300
• Washington: $100,500 to $270,300

Benefits

Accenture offers a market-competitive suite of benefits, including:

• Medical, dental, vision, life, and long-term disability coverage.
• 401(k) plan with bonus opportunities.
• Paid holidays and paid time off.

See more details: U.S. Employee Benefits | Accenture.