Responsible AI, Madrid
Empresa
Accenture
Provincia
Madrid
Ciudad
Madrid
Tipo de Contrato
Tiempo Completo
Descripción
Responsible AI
We are:
Accentures 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 Accentures data and AI activities. Were developing and deploying differentiated IP and Responsible AI solutions with our ecosystem partners. Well be engaging regulators to help shape the policy agenda, conducting pioneering research with academia and offering training and resources to our clients through the Responsible AI Academy. The risks of AI are real and well-known. Lets help our clients turn those risks into opportunities.
You are:
Were looking to grow our Responsible AI team and if youre experienced in Technology Architecture with a Responsible AI background, wed love to hear from you.
As a Responsible AI Technology Architecture professional, youll be experienced in building state-of-the-art systems to solve difficult business challenges. But youll also have at least a years experience looking at responsible aspects such as AI model Fairness, Transparency, Explainability, Robustness, Soundness and Privacy - preferably gained in a client-facing environment.
Youll bring diverse expertise in architecture, software development and data engineering with specialization in RAI. Youll be an outstanding technical specialist with the strong communication skills needed to liaise with your clients and your colleagues.
At the forefront of the industry, youll help make our Responsible AI vision a reality for clients looking to better serve their customers and operate always-on enterprises. Were not just focused on increasing revenues - our technologies and innovations are making millions of lives easier and more comfortable. But above all, were doing this responsibly and inclusively - to make sure AI technology is used equitably and in a way that is both ethically and technically sound.
The work:
Youll be a key player helping to deliver outstanding work for our Responsible AI clients. Some of the areas youll 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. Supporting client sales conversations and proposal preparation
- 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 including helping define, build and roll out our internal Responsible AI tools and assets.
- 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, development and delivery of Responsible AI technical training.
- 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.
#ACNArtificialIntelligence
Heres What You Need:
- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields.
- Manager experience: 6-8 years
- Senior Manager: 8-10 years
- 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, or Java.
- Experience with big data technologies (e.g., Hadoop, Spark) and database management systems.
- Specific technology domain areas experience in at least one of: software development, cloud computing, systems engineering, data analytics.
- Knowledge of ethical AI principles, data privacy laws, and regulatory requirements.
- Proven track record in leading and delivering complex AI projects.
- Experience in implementing AI solutions in large-scale, enterprise environments.
- 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
#ResponsibleIA
#LI-EU
About Accenture
Accenture is a leading global professional services company that helps the worlds leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services-creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the worlds leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.
Igualdad de Oportunidades en el Empleo
Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, grado de discapacidad, estado de veterano, orientación sexual, identidad o expresión de género, información genética, estado civil, estado de ciudadanía o cualquier otro motivo o circunstancias protegidas por las leyes federales, estatales o locales.
TensorFlow, PyTorch, Python, R
We are:
Accentures 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 Accentures data and AI activities. Were developing and deploying differentiated IP and Responsible AI solutions with our ecosystem partners. Well be engaging regulators to help shape the policy agenda, conducting pioneering research with academia and offering training and resources to our clients through the Responsible AI Academy. The risks of AI are real and well-known. Lets help our clients turn those risks into opportunities.
You are:
Were looking to grow our Responsible AI team and if youre experienced in Technology Architecture with a Responsible AI background, wed love to hear from you.
As a Responsible AI Technology Architecture professional, youll be experienced in building state-of-the-art systems to solve difficult business challenges. But youll also have at least a years experience looking at responsible aspects such as AI model Fairness, Transparency, Explainability, Robustness, Soundness and Privacy - preferably gained in a client-facing environment.
Youll bring diverse expertise in architecture, software development and data engineering with specialization in RAI. Youll be an outstanding technical specialist with the strong communication skills needed to liaise with your clients and your colleagues.
At the forefront of the industry, youll help make our Responsible AI vision a reality for clients looking to better serve their customers and operate always-on enterprises. Were not just focused on increasing revenues - our technologies and innovations are making millions of lives easier and more comfortable. But above all, were doing this responsibly and inclusively - to make sure AI technology is used equitably and in a way that is both ethically and technically sound.
The work:
Youll be a key player helping to deliver outstanding work for our Responsible AI clients. Some of the areas youll 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. Supporting client sales conversations and proposal preparation
- 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 including helping define, build and roll out our internal Responsible AI tools and assets.
- 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, development and delivery of Responsible AI technical training.
- 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.
#ACNArtificialIntelligence
Heres What You Need:
- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields.
- Manager experience: 6-8 years
- Senior Manager: 8-10 years
- 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, or Java.
- Experience with big data technologies (e.g., Hadoop, Spark) and database management systems.
- Specific technology domain areas experience in at least one of: software development, cloud computing, systems engineering, data analytics.
- Knowledge of ethical AI principles, data privacy laws, and regulatory requirements.
- Proven track record in leading and delivering complex AI projects.
- Experience in implementing AI solutions in large-scale, enterprise environments.
- 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
#ResponsibleIA
#LI-EU
About Accenture
Accenture is a leading global professional services company that helps the worlds leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services-creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the worlds leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.
Igualdad de Oportunidades en el Empleo
Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, grado de discapacidad, estado de veterano, orientación sexual, identidad o expresión de género, información genética, estado civil, estado de ciudadanía o cualquier otro motivo o circunstancias protegidas por las leyes federales, estatales o locales.
TensorFlow, PyTorch, Python, R