Summary:
The AI Architect will be responsible for designing, implementing, and scaling enterprise-grade AI and machine learning solutions. This role involves defining AI strategies, selecting appropriate technologies, architecting end-to-end AI pipelines, and ensuring alignment with business goals?particularly within Retail Banking and Consumer Finance domains.
The ideal candidate will have strong expertise in AWS cloud services (including SageMaker, Lambda, S3, EMR, Redshift, and Bedrock), advanced understanding of machine learning, generative AI, NLP, and data engineering, and hands-on experience building secure, scalable, and compliant AI solutions for regulated financial environments.
Key Responsibilities:
- Architect and lead development of AI/ML solutions for retail banking and consumer finance use cases such as personalization, credit decisioning, fraud detection, risk scoring, customer insights, collections optimization, and intelligent automation.
- Design scalable cloud-native AI architectures leveraging AWS AI/ML services.
- Collaborate with data engineering, product, and business teams to translate business challenges into AI-driven solutions.
- Establish best practices for model governance, data security, compliance, and responsible AI aligned with financial industry standards.
- Lead POCs, evaluate new technologies, and guide implementation of GenAI, LLM-based solutions, and automation frameworks.
- Drive continuous improvement of AI models, pipelines, and cloud infrastructure.
Required Experience & Skills
- 10?15+ years of experience in AI/ML architecture, data science, or related engineering roles.
- Deep proficiency in AWS Cloud, including architecture, deployment, and optimization of AI workloads.
- Strong understanding of retail banking and consumer finance processes, regulatory requirements, and data landscapes.
- Expertise in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn), MLOps, and CI/CD pipelines.
- Experience with GenAI/LLM technologies, vector databases, and prompt engineering.
- Excellent communication and stakeholder management skills.