Accenture
Responsible AI - Technology Architecture Associate Manager
Accenture, Seattle, Washington, us, 98127
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.
You are:
We’re looking to grow our Responsible AI team and if you’re experienced in Technology & Architecture with interest in Responsible AI, we’d love to hear from you.
As a Responsible AI Technology & Architecture professional, you’ll be experienced in building state-of-the-art systems to solve difficult business challenges. Your designs will consider responsible aspects such as AI model Fairness, Transparency, Explainability, Robustness, Soundness, and Privacy.
You’ll bring diverse expertise in architecture, software development and data engineering. You’ll be an outstanding technical specialist with the strong communication skills needed to liaise with your clients and your colleagues.
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:
Leading the architecture and design of ethical AI systems, ensuring compliance with relevant regulations, organizational policies using the required tools and technologies.
Collaborating with cross-functional teams to design the integrations with existing data & AI platforms and workflows on cloud.
Designing, and guiding the team on best practices and architectural guidelines for AI model development, testing, deployment, and monitoring.
Architecting the regular audits of AI systems to identify and mitigate biases, ensuring fairness and transparency.
Spearheading Responsible AI related technology thought leadership and PoV, staying abreast of emerging technologies.
Providing technical leadership and mentorship to AI development teams.
Facilitating communication between technical and non-technical stakeholders regarding AI projects and their impact.
Supporting the evaluation of third-party Responsible AI tools and frameworks.
Architecting and solutioning AI project lifecycle - from conception through to deployment and maintenance.
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:
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 (minimum 12 years) work experience. (If associate’s degree, must have minimum 6 years work experience).
Professional Skills Requirements:
Strong leadership and team management skills.
Excellent problem-solving and analytical abilities.
Effective communication skills, capable of conveying complex AI concepts to diverse audiences.
Commitment to ethical AI practices and continuous learning.
Ability to work under pressure and manage multiple projects simultaneously.
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 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 (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 in California, Colorado, New York or Washington as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply.
Role Location Annual Salary Range
California $73,000 to $220,400
Colorado $73,000 to $190,400
District of Columbia $77,700 to $202,700
New York $67,600 to $220,400
Maryland $67,600 to $176,300
Washington $77,700 to $202,700
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.
Equal Employment Opportunity Statement
Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.
Accenture is committed to providing veteran employment opportunities to our service men and women.
#J-18808-Ljbffr
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.
You are:
We’re looking to grow our Responsible AI team and if you’re experienced in Technology & Architecture with interest in Responsible AI, we’d love to hear from you.
As a Responsible AI Technology & Architecture professional, you’ll be experienced in building state-of-the-art systems to solve difficult business challenges. Your designs will consider responsible aspects such as AI model Fairness, Transparency, Explainability, Robustness, Soundness, and Privacy.
You’ll bring diverse expertise in architecture, software development and data engineering. You’ll be an outstanding technical specialist with the strong communication skills needed to liaise with your clients and your colleagues.
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:
Leading the architecture and design of ethical AI systems, ensuring compliance with relevant regulations, organizational policies using the required tools and technologies.
Collaborating with cross-functional teams to design the integrations with existing data & AI platforms and workflows on cloud.
Designing, and guiding the team on best practices and architectural guidelines for AI model development, testing, deployment, and monitoring.
Architecting the regular audits of AI systems to identify and mitigate biases, ensuring fairness and transparency.
Spearheading Responsible AI related technology thought leadership and PoV, staying abreast of emerging technologies.
Providing technical leadership and mentorship to AI development teams.
Facilitating communication between technical and non-technical stakeholders regarding AI projects and their impact.
Supporting the evaluation of third-party Responsible AI tools and frameworks.
Architecting and solutioning AI project lifecycle - from conception through to deployment and maintenance.
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:
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 (minimum 12 years) work experience. (If associate’s degree, must have minimum 6 years work experience).
Professional Skills Requirements:
Strong leadership and team management skills.
Excellent problem-solving and analytical abilities.
Effective communication skills, capable of conveying complex AI concepts to diverse audiences.
Commitment to ethical AI practices and continuous learning.
Ability to work under pressure and manage multiple projects simultaneously.
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 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 (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 in California, Colorado, New York or Washington as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply.
Role Location Annual Salary Range
California $73,000 to $220,400
Colorado $73,000 to $190,400
District of Columbia $77,700 to $202,700
New York $67,600 to $220,400
Maryland $67,600 to $176,300
Washington $77,700 to $202,700
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.
Equal Employment Opportunity Statement
Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.
Accenture is committed to providing veteran employment opportunities to our service men and women.
#J-18808-Ljbffr