Responsible AI Engineer Manager/Senior Manager
accentureSacramento (CA)
Responsible AI Engineer Manager/Senior Manager
Posted today
accentureSacramento (CA)
SENIORITY
Lead
About the role
Overview:
In this role, you will help deliver responsible AI solutions for clients, focusing on fairness, transparency, explainability, robustness, and privacy. You’ll work within Accenture’s Global Responsible AI team to build state-of-the-art models and embed ethical practices throughout the AI lifecycle. You collaborate with clients and colleagues to tackle complex modelling challenges and advance responsible AI standards. This position blends cutting-edge AI with governance, aiming to make technology ethical, inclusive, and impactful at scale. Compensation / Benefits medical, dental, vision life and disability insurance 401(k) with match bonus opportunities paid holidays paid time off
Responsibilities:
Develop and deploy AI models and solutions with emphasis on responsible practices Assess and mitigate RAI dimensions (bias, fairness, robustness, explainability) in AI systems Support client sales conversations and proposal development Maintain and optimize AI systems to ensure ethical compliance and performance Participate in the full AI development lifecycle (data prep, design, coding, testing, deployment, support) Contribute to internal guidelines, best practices, and technical training for responsible AI Stay updated on AI trends, ethics, and tech advancements Identify and correct biases in datasets and models Document development processes and maintain transparent methodological records
Key requirements:
Bachelor's degree in Computer Science, AI, Data Science, or related field or equivalent (minimum 12 years) Minimum 5 years of experience in developing and evaluating ML models and AI solutions 2+ years in: statistics/probability, regression, clustering, time series, tree ensembles, deep learning, NLP, CV, visualization tools Minimum 5 years experience: Python/R/Java; frameworks such as Scikit-learn, TensorFlow, PyTorch; API frameworks (Django, Flask, FastAPI) Version control (GitHub, Bitbucket); database management and data processing Cloud platforms knowledge (AWS, Azure, GCP) related to AI; handling complex datasets Strong problem-solving and analytical abilities Effective written and verbal communication with technical and non-technical audiences Team collaboration in fast-paced environments Python, R, or Java programming Scikit-learn, TensorFlow, PyTorch FastAPI, Django, Flask
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