Data & AI Solution Architect

Role Overview

We are seeking a Data & AI Solution Architect with expertise in Artificial Intelligence, Machine Learning, and Generative AI, to design and deploy sophisticated data-centric solutions that utilize the latest AI and ML technologies for scalability across enterprise environments.

Key Responsibilities

You will work closely with clients, stakeholders, and development teams to gather business requirements, identify AI/ML opportunities, and architect innovative solutions that enhance business performance and generate impactful insights from data.

Skills and Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or a closely related discipline.
• Demonstrated experience in roles such as AI architect or data architect, particularly focusing on scalable AI, ML, and Generative AI projects.
• Strong understanding of AI algorithms, technologies, and associated frameworks.
• Proficiency in programming languages like Python, R, Scala, or SQL.
• Hands-on experience with AI/ML libraries, platforms, and tools such as TensorFlow, PyTorch, scikit-learn, and Apache Spark.
• Knowledge of cloud environments including AWS, Azure, Google Cloud Platform, as well as technologies like Databricks and Snowflake.
• Familiarity with advanced AI/ML concepts and tools such as Control Towers, MLOps, Generative Adversarial Networks, SageMaker, MLFlow, OpenAI GPT, Bedrock, and DALL-E.
• Strong foundation in data architecture, modeling, and integration strategies.
• Excellent analytical and problem-solving abilities for developing creative AI/ML solutions targeting complex challenges.
• Effective communication and presentation skills for conveying technical ideas and business value to diverse audiences.
• Experience leading and collaborating with multidisciplinary teams within agile development frameworks.
• Solid grasp of software engineering best practices and principles.
• Proven project management capabilities, comfortable operating in high-paced settings.
• Preferred additional qualifications include certifications like AWS or Azure Certified Machine Learning Specialty and domain experience in Financial Services or Healthcare.