Senior AI Engineer

As a Senior AI Engineer at Corporate AI Incubator, you will be part of a dynamic team focused on developing innovative AI solutions within the banking sector. You will have the opportunity to collaborate with industry experts and leverage cutting-edge technologies to address real-world challenges in corporate banking. **Key Responsibilities:** - Design, develop, and implement AI models, algorithms, and GenAI models. - Collaborate with cross-functional teams to integrate AI solutions into products and services. - Conduct research to advance the state-of-the-art in AI and machine learning. - Analyze and interpret complex data sets to drive decision-making. - Optimize and fine-tune AI models for performance and scalability. - Stay up-to-date with the latest advancements in AI technologies. - Utilize key technologies such as AWS Bedrock, Databricks Genie, and Snowflake Cortex AI to build and deploy AI solutions. - Proficiency in programming languages such as Python, R, or Java. - Experience with Python and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Experience with NLP techniques and AI platforms such as Hugging Face. - Strong problem-solving skills and the ability to work independently and as part of a team. - Excellent communication skills to convey complex technical concepts to non-technical stakeholders. **Qualifications Required:** - Hands-on experience in Agentic AI development & deployment will be an added advantage. - Proficiency with industry-wide solutions & large learning models (LLMs) such as GPT, Claude, Llama, Mistral, DeepSeek, Gemini. - Experience in risk and controls, change and transformation, business acumen, strategic thinking, digital and technology. - Knowledge of data architectures, data pipelines, data warehousing, and data lakes. - Ability to collaborate with data scientists to build and deploy machine learning models. As a Senior AI Engineer, you will play a crucial role in building and maintaining data systems to ensure accurate, accessible, and secure data for the organization. You will collaborate with data scientists and other team members to develop processing and analysis algorithms that meet the data complexity and volume requirements. If you demonstrate leadership responsibilities, you are expected to set strategies, drive requirements, plan resources, and manage policies to deliver continuous improvements. For individual contributors, you will be a subject matter expert guiding technical direction and leading collaborative assignments. All colleagues at Corporate AI Incubator are expected to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, along with the Barclays Mindset to Empower, Challenge, and Drive in their daily interactions and work. As a Senior AI Engineer at Corporate AI Incubator, you will be part of a dynamic team focused on developing innovative AI solutions within the banking sector. You will have the opportunity to collaborate with industry experts and leverage cutting-edge technologies to address real-world challenges in corporate banking. **Key Responsibilities:** - Design, develop, and implement AI models, algorithms, and GenAI models. - Collaborate with cross-functional teams to integrate AI solutions into products and services. - Conduct research to advance the state-of-the-art in AI and machine learning. - Analyze and interpret complex data sets to drive decision-making. - Optimize and fine-tune AI models for performance and scalability. - Stay up-to-date with the latest advancements in AI technologies. - Utilize key technologies such as AWS Bedrock, Databricks Genie, and Snowflake Cortex AI to build and deploy AI solutions. - Proficiency in programming languages such as Python, R, or Java. - Experience with Python and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Experience with NLP techniques and AI platforms such as Hugging Face. - Strong problem-solving skills and the ability to work independently and as part of a team. - Excellent communication skills to convey complex technical concepts to non-technical stakeholders. **Qualifications Required:** - Hands-on experience in Agentic AI development & deployment will be an added advantage. - Proficiency with industry-wide solutions & large learning models (LLMs) such as GPT, Claude, Llama, Mistral, DeepSeek, Gemini. - Experience in risk and controls, change and transformation, business acumen, strategic thinking, digital and technology. - Knowledge of data architectures, data pipelines, data warehousing, and data lakes. - Ability to collaborate with data scientists to build and deploy machine learning models. As a Senior AI Engineer, you will play a crucial role in building and maintaining data systems to ensure accurate, accessible, and secure data for the organization. You will collaborate with data scientists and other team members to develop processing and analysis algorithms