Why This Role Stands Out
This AI Architect role offers a fantastic opportunity to shape groundbreaking AI-led transformations within the financial services sector, providing significant growth and impact. You'll thrive here if you possess deep hands-on expertise in Python, ML frameworks, and LLM-based applications, collaborating with a dynamic team in a hybrid work environment. Apply to leverage your skills and build the future of AI architecture.
Quick Overview
Job Description
AI Architect
Introduction:
Client is looking for a hands-on AI Architect – GenAI / ML to support large-scale AI-led transformation initiatives within the financial services industry. This role will be responsible for defining and implementing solution architectures across Generative AI, Machine Learning, agentic AI, enterprise data, APIs, and application platforms. The ideal candidate will combine strong AI architecture experience with deep hands-on expertise in Python, ML frameworks, LLM-based applications, orchestration frameworks, and production AI engineering.
Responsibilities:
- Define end-to-end architecture for GenAI and ML solutions
- Design enterprise-grade solutions leveraging LLMs
- Build and validate prototypes using Python
- Architect RAG solutions
- Design agentic AI architectures
- Define patterns for integrating AI capabilities with enterprise applications
- Partner with Data Scientists, ML Engineers, and business stakeholders
- Define reusable AI architecture patterns and components
- Establish patterns for model inference and real-time scoring
- Implement Python-based AI services and APIs
- Ensure AI solutions meet security, privacy, and performance requirements
- Evaluate open-source and commercial AI frameworks
- Lead architecture and code reviews
Requirements:
Required Experience:
- Strong experience as an AI Architect within large-scale enterprise environments
- Deep hands-on programming experience with Python
- Strong understanding of Machine Learning and Deep Learning fundamentals
GenAI / LLM Expertise:
- Experience designing solutions using large language models
- Strong understanding of various AI concepts
Machine Learning Expertise:
- Strong understanding of supervised and unsupervised learning
- Experience with ML pipelines and model monitoring
AI Governance & Production Readiness:
- Define controls for model versioning and evaluation
- Design AI systems with appropriate security measures
Preferred Experience:
- Experience within Banking, Finance, or other financial-services domains
- Experience with distributed data technologies like Apache Kafka
Key Profile We Are Looking For:
- A hands-on AI Architect who can architect, code, and guide implementation
- Comfortable with moving across various stages of AI development
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