AI Engineer Senior

Description

Job Summary: AI Engineer Senior will lead the design and implementation of advanced Artificial Intelligence solutions, promoting innovation, operational efficiency, and regulatory compliance in banking. Key Highlights: 1. Lead the design and implementation of advanced AI solutions. 2. Drive innovation, operational efficiency, and regulatory compliance in banking. 3. Mentorship and professional development in GenAI and MLOps. Request ID: 242970 Thank you for your interest in joining Scotiabank Perú—we appreciate your application. We are seeking talented individuals who wish to grow and help achieve our organization’s goals. Wishing you great success throughout this process! **AI Engineer Senior** * **Division: Operations \& Technology** * **Unit: Transformation and Agility** * **Contract Type: Indefinite** * **Level: 7\.2** **Purpose** As an AI Engineer Senior, your role will be to lead the design and implementation of advanced Artificial Intelligence solutions, promoting innovation, operational efficiency, and regulatory compliance in banking. You must apply specialized technical knowledge to develop scalable, secure solutions aligned with the business’s strategic objectives. **Requirements:** * Bachelor’s degree in Systems Engineering, Computer Science, or related fields. * Master’s degree in Artificial Intelligence/Data Science (Desirable) * Minimum 5 years of experience in Artificial Intelligence projects or 2 years in GenAI projects within regulated environments. * **Required Knowledge:** Project Management, Systems Analysis, Architecture, IT Services, Process Modeling, Outsourcing Team Management, MLOps and LLMOps Practices; Security and Regulatory Compliance (SBS, ISO/IEC 27001, ISO/IEC 42001\), Orchestration and Automation (Cron Jobs and ETL Pipelines) * **Required Tools:** + Programming Fundamentals and Development Environment: - Languages and libraries: Advanced Python (scikit\-learn, Pytorch, TensorFlow, pandas, NumPy), Advanced SQL + Development Environments: Anaconda, Jupyter, Spyder, PyCharm, Visual Studio Code + Collaborative Development Tools: Git, BitBucket + Machine Learning \& Deep Learning Modeling: Transformers, GANs, Diffusion Models (Advanced Deep Learning) + Frameworks and Libraries: Hugging Face, LangChain, LangGraph, LlamaIndex + GenAI (Generative Artificial Intelligence): LLMs (Gemini, GPT, Claude, DeepSeek, Llama), Diffusion Models, GANs + Model Optimization Techniques: Prompt Engineering, Fine\-tuning, Retrieval\-Augmented Generation (RAG) + Databases: Vector: FAISS, Pinecone, Weaviate; Relational (SQL): PostgreSQL, MySQL; NoSQL: MongoDB, Firestore + Cloud \& MLOps / LLMOps: - Cloud Platforms: GCP, Azure ML, Databricks + Specific Tools: Vertex AI (GCP), MLflow **Responsibilities** * Promote a customer-centric culture to deepen client relationships and leverage the Bank’s extensive relationships, systems, and expertise. * Identify optimization opportunities across various Group areas to generate cost savings, efficient processes, and added value for clients. * Promote adoption of the artificial intelligence culture across Group units. * Understand the Bank’s risk culture and how risk appetite should be considered in daily activities and decisions. * Maintain and establish governance strategy, bias mitigation, and model explainability: Define policies and frameworks to ensure generative models operate ethically, transparently, and in alignment with internal and external regulations. Implement mechanisms to detect and mitigate bias, and promote algorithmic decision explainability. * Lead integration of AI capabilities into the banking ecosystem: Spearhead deployment of intelligent assistants in the Bank’s operational processes, ensuring efficient integration with core systems, digital channels, and data platforms. Continuously evaluate their impact on customer experience and operational efficiency optimization. * Evaluate and adopt emerging AI technologies: Conduct ongoing monitoring of the generative AI ecosystem to identify tools, frameworks, and models with high potential. * Lead proof-of-concept initiatives and comparative analyses to select optimal solutions that drive innovation and deliver business value. * Provide mentorship to team members: Serve as a technical and strategic reference within the team, guiding the professional development of emerging talent. Share best practices, review deliverables, and foster continuous learning in GenAI and MLOps topics. * Promote a culture of responsible innovation and regulatory compliance: Champion initiatives that foster technological innovation within an ethical and regulatory framework. Ensure developed solutions comply with the Bank’s internal policies and applicable regulations (e.g., SBS, ISO/IEC 27001). * Develop and implement business-adapted Generative Artificial Intelligence solutions: Lead the use of advanced techniques such as fine\-tuning, RAG, and other strategies to train generative models tailored to the specific contexts of the banking environment. Ensure solutions are scalable, secure, and aligned with industry standards, continuously supervising performance, accuracy, and robustness. * Participate in cross-functional teams within Smart Automation: Actively collaborate with product, design, engineering, data, and business teams to co-create solutions delivering tangible value. Contribute technical expertise across all stages of the project lifecycle. * Ensure GenAI solution adoption and development using agile frameworks: Lead GenAI solution implementation using agile methodologies (Scrum, Kanban, etc.), promoting iterative development, validation, and continuous improvement cycles. Facilitate end-user adoption through communication and training strategies. * Understand and apply the Bank’s risk culture in daily decisions: Integrate risk management as a fundamental component of GenAI solution design and implementation. Assess the potential impact of each initiative in terms of operational, reputational, regulatory, and conduct risk. * Actively perform effective and efficient operations within respective areas while ensuring the suitability, compliance, and effectiveness of daily business controls to meet obligations aimed at reducing operational risk, regulatory non-compliance risk, money laundering and terrorist financing risk, and conduct risk—including responsibilities established under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, International Anti-Money Laundering and Counter-Terrorist Financing Manual, and Business Conduct Guidelines. Location(s): Peru : Lima : San Isidro Thank you for your interest; however, only selected candidates will be contacted for interviews. \*\* Scotiabank Peru is an inclusive employer that respects diversity and does not discriminate in any form.