onsite
Responsible AI Tech Lead - Accenture
Software Engineer
Lead the design, deployment, and governance of responsible AI solutions, ensuring ethical principles and regulatory compliance while guiding cross‑functional teams and leveraging cloud and Infrastructure‑as‑Code practices.
About the role
Key Responsibilities
- Define and implement responsible AI frameworks that embed ethical guidelines and regulatory requirements into AI product lifecycles.
- Architect, provision, and manage AI infrastructure using Infrastructure as Code tools (e.g., Terraform, CloudFormation) on major cloud platforms.
- Lead cross‑functional teams of data scientists, engineers, and compliance specialists to deliver trustworthy AI models.
- Conduct risk assessments, bias audits, and model explainability analyses to ensure fairness and transparency.
- Mentor junior engineers, promote best practices, and champion a culture of ethical AI across the organization.
Requirements
- Minimum 5 years of experience designing and deploying AI/ML solutions at scale.
- Strong hands‑on expertise with Infrastructure as Code and cloud services (AWS, Azure, or GCP).
- Deep understanding of AI ethics, bias mitigation, model interpretability, and relevant regulations.
- Proven technical leadership and ability to influence stakeholders across business and engineering domains.
- Bachelor’s degree or higher in Computer Science, Engineering, or a related field.