Responsible AI - Technology Architecture Associate Manager

$73,000 - $220,400/Yr

Accenture - Mountain View, CA

Full-time - Mid Level

Mountain View, CA

10,001+ employees

Professional, Scientific, and Technical Services

About the position

As a Responsible AI Technology Architecture Associate Manager at Accenture, you will play a pivotal role in leading the design and implementation of ethical AI systems. This position focuses on ensuring that AI technologies are developed and deployed responsibly, adhering to legal and ethical standards. You will collaborate with cross-functional teams to integrate AI solutions into existing platforms while mentoring teams on best practices in AI model development and compliance. Your work will contribute to making AI technology equitable and technically sound, ultimately enhancing client operations and customer service.

Responsibilities

• Lead the architecture and design of ethical AI systems, ensuring compliance with relevant regulations and organizational policies.
• Support client sales conversations and proposal preparation.
• Collaborate with cross-functional teams to design integrations with existing data & AI platforms and workflows on cloud.
• Design and guide the team on best practices and architectural guidelines for AI model development, testing, deployment, and monitoring.
• Architect regular audits of AI systems to identify and mitigate biases, ensuring fairness and transparency.
• Spearhead Responsible AI related technology thought leadership and PoV, staying abreast of emerging technologies.
• Provide technical leadership and mentorship to AI development teams.
• Facilitate communication between technical and non-technical stakeholders regarding AI projects and their impact.
• Support the evaluation of third-party Responsible AI tools and frameworks.
• Architect and solution AI project lifecycle from conception through to deployment and maintenance.

Requirements

• Minimum of 4 years of experience in architectural experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
• Proficiency in AI and machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
• Strong programming skills in languages such as Python, R, Java, or C++.
• Experience with big data technologies (e.g., Hadoop, Spark) and/or database management systems.
• Specific technology domain experience in at least one of the following areas: software development, cloud computing, systems engineering, data & analytics.
• Proven track record in leading and delivering complex AI projects.
• Experience in implementing AI solutions in large-scale, enterprise environments.
• Bachelor's degree in computer science, Artificial Intelligence, Data Science, or related technical fields or equivalent work experience.

Nice-to-haves

• Additional courses or training in areas related to responsible AI, ethics in technology, or similar fields.
• Certifications in AI, machine learning, or related fields.
• Experience with Data & AI in specific domains (e.g., healthcare, finance, retail).
• Familiarity with AI model explainability and interpretability tools.
• Understanding of MLOps, LLMOps and DevOps practices, including CI/CD pipelines, for AI systems.
• Containerization capabilities such as Docker and Kubernetes.
• Linguistic proficiency in a language other than English.

Benefits

• Health insurance
• 401k
• Paid holidays
• Flexible scheduling
• Professional development
• Tuition reimbursement
• Employee discount programs