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.
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Heres What You Need
* Resident in Málaga
* 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
Python, R, Inteligencia Artificial,