Data & AI Solution Architect

Seeking a Data & AI Solution Architect with a strong focus on Artificial Intelligence (AI), Machine Learning (ML), and Generative AI, you will be responsible for designing and implementing advanced data-driven solutions that leverage cutting-edge AI and ML technologies to scale across organizations. You will collaborate closely with clients, stakeholders, and development teams to understand business objectives, identify opportunities for AI/ML applications, and design innovative solutions for clients that drive business growth. Your expertise in AI, ML, and GenAI will be instrumental in helping organizations unlock new possibilities and creative applications for their data. Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Proven experience as an AI architect, data architect, or similar role, with a strong focus on scaled AI/ML/GenAI solutions. In-depth knowledge of AI technologies, algorithms, and frameworks. Proficiency in programming languages commonly used, such as Python, R, Scala or SQL. Experience with AI/ML platforms, libraries, and tools, such as TensorFlow, PyTorch, scikit-learn, or Apache Spark. Familiarity with cloud platforms (e.g., AWS, Azure, GCP, Databricks, Snowflake) and AI/ML concepts and technologies (Control Towers, MLOps, Generative Adversarial Networks, SageMaker, MLFlow, OpenAI GPT, Bedrock, DALL-E). Strong knowledge of data architecture, data modeling, and data integration concepts. Excellent problem-solving and analytical skills, with the ability to design innovative AI and ML solutions for complex business problems. Strong communication and presentation skills, with the ability to effectively communicate technical concepts and value propositions to diverse audiences. Experience in leading and collaborating with cross-functional teams in an agile development environment. Strong understanding of software engineering principles and practices. Strong project management skills and ability to work in a fast-paced environment. Relevant certifications (e.g., AWS or Azure Certified Machine Learning - Specialty, LLM courses) and industry experience (Financial Services, Healthcare) are a plus. . About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s 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. Visit us at Equal Employment Opportunity Statement for New Zealand: At Accenture, our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work. As part of our talent strategy, we hire and develop people who have different backgrounds, different perspectives and different lived experiences. These differences ensure that we have and attract the cognitive diversity to deliver a variety of perspectives, observations and insights which are essential to drive the innovation needed to reinvent, and we hold our leaders accountable for ensuring we have the most innovative and talented people in our industry. We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require adjustments to the recruitment process or have a preferred communication method, please email and cite the relevant Job Number, or contact us on +61 2 9005 5000 . Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement.