Senior Architect

Role Overview: As a Data Architect with Generative AI expertise, you will be responsible for designing and implementing robust data architectures to support AI and machine learning workloads, specifically focusing on Generative AI applications. Your tasks will include developing and optimizing data pipelines for training, validating, and deploying AI models efficiently and securely. Additionally, you will integrate AI frameworks into data platforms to ensure scalability, low latency, and high throughput. Collaboration with data scientists, AI engineers, and stakeholders is key to align data strategies with business goals. Leading initiatives to ensure data governance, security, and compliance standards are met in AI-driven environments will also be part of your role. Furthermore, prototyping and implementing architectures that utilize generative models to enhance business processes are included in your responsibilities. It is essential to stay updated with the latest trends in Generative AI, data engineering, and cloud technologies to recommend and integrate innovations. Key Responsibilities: - Design and implement robust data architectures to support AI and ML workloads, including Generative AI applications. - Develop and optimize data pipelines for training, validating, and deploying AI models efficiently and securely. - Integrate AI frameworks into data platforms, ensuring scalability, low latency, and high throughput. - Collaborate with data scientists, AI engineers, and stakeholders to align data strategies with business goals. - Lead initiatives to ensure data governance, security, and compliance standards are met in AI-driven environments. - Prototype and implement architectures that utilize generative models to enhance business processes. - Stay up to date with the latest trends in Generative AI, data engineering, and cloud technologies to recommend and integrate innovations. Qualifications Required: - A bachelor's degree in Computer Science, Data Engineering, or a related field (master's preferred). - 5+ years of experience in data architecture, focusing on AI/ML-enabled systems. - Hands-on experience with Generative AI models like OpenAI GPT, BERT, or similar, including fine-tuning and deployment. - Proficiency in data engineering tools and frameworks such as Apache Spark, Hadoop, and Kafka. - Deep knowledge of database systems (SQL, NoSQL) and cloud platforms (AWS, Azure, GCP), including their AI/ML services. - Strong understanding of data governance, MLOps, and AI model lifecycle management. - Experience with programming languages such as Python or R and frameworks like TensorFlow or PyTorch. - Excellent problem-solving and communication skills, with a demonstrated ability to lead cross-functional teams. (Note: Additional Company Details were not provided in the Job Description),