AI Architect, Tieto Banktech

Job Summary

We are seeking a seasoned AI Architect with deep expertise in banking and financial services to lead the design and implementation of enterprise-grade AI architectures. In this strategic role, you will bridge technical innovation with business imperatives, collaborating closely with cross-functional teams, C-suite executives, and external stakeholders to deliver AI solutions that optimize fraud detection, personalize customer interactions, automate compliance processes, and enable predictive analytics. The ideal candidate thrives in customer-facing environments, leveraging years of direct client engagement to translate complex financial needs into transformative AI strategies for Tieto Banktech.

Key Responsibilities

• Architecture & Strategy: Design scalable AI architectures for various use cases, such as fraud detection, credit scoring, customer segmentation, algorithmic trading, churn prediction models, advisory services, and regulatory compliance monitoring. Define technical roadmaps for AI adoption across financial products and services. Ensure AI solutions align with product architecture and regulatory requirements.
• Model Development & Deployment: Collaborate with product and customer teams to operationalize ML models using MLOps best practices. Architect secure and compliant data pipelines for model training and inference. Integrate AI models with banking products and services across various banking domains via APIs and microservices.
• Implementation, Governance & Compliance: Oversee the deployment of AI systems, ensuring scalability, interoperability, and governance through tools like MLOps platforms, while mentoring engineering teams on best practices. Implement robust model governance frameworks including auditability, explainability, and bias mitigation. Ensure compliance with financial regulations (e.g., GDPR, PCI-DSS, EU AI Act) and ethical AI standards.
• Collaboration & Leadership: Work with business stakeholders to identify AI opportunities and translate them into technical solutions. Lead cross-functional teams and mentor junior architects and engineers. Evaluate emerging AI technologies and vendors for strategic fit. Contribute to industry whitepapers, conferences, and internal knowledge-sharing sessions on AI applications in BFSI.
• Risk And Ethics Management: Conduct AI impact assessments to mitigate biases, ensure explainability, and uphold ethical standards in financial decision-making.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 14+ years of experience in software architecture, with 4+ years in AI/ML architecture, with hands-on experience in designing and deploying AI solutions in regulated environments.
• Strong knowledge of financial services, products, and regulatory landscape.
• Proficiency in AI frameworks (e.g., TensorFlow, PyTorch, LangChain) and cloud platforms (e.g., AWS SageMaker, Azure AI, Google Vertex AI).
• Experience with GenAI, NLP, computer vision, and reinforcement learning applied to finance.
• Experience with MLOps, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Familiarity with financial data formats, security protocols, and risk modeling.

Preferred Qualifications

• Experience with LLMs, generative AI, and financial NLP applications (e.g., document classification, sentiment analysis).
• Knowledge of big data technologies (Spark, Hadoop) and data lake architectures.
• Certifications in cloud architecture or AI/ML (e.g., AWS Certified Machine Learning, Azure AI Engineer).

Key skills/competency

• AI Architecture
• Machine Learning Operations (MLOps)
• Financial Services Expertise
• Regulatory Compliance
• Cloud Platforms (AWS, Azure, GCP)
• Generative AI & NLP
• Data Pipeline Design
• Model Governance
• Stakeholder Management
• Predictive Analytics