AI Architect
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What you'll do
- Define and implement the bank's Al architecture and roadmap aligned with business goals.
- Lead end-to-end solution design for GenAI/LLM, Al/ML models, including data pipelines, model training/finetuning, with Hand-on with LLMOps.
- Collaborate with cross-functional teams (data science, engineering, business units) to identify GenAl/Al/automation use cases and deliver impactful solutions.
- Ensure Al systems comply with regulatory requirements, ethical standards and data governance policies.
- Evaluate and integrate emerging Al technologies, platforms, and tools.
- Provide technical leadership and mentorship to Al engineers and data scientists.
What they're looking for
- Bachelor's or Master's degree in Computer Science, Data Science, Al or related field.
- Proven experience in Al/ML solution architecture, preferably in financial services.
- Strong knowledge of cloud platforms (Azure, Databrics), Statistics & data engineering
- Familiarity with regulatory frameworks and ethical Al practices in banking.
- Familiarity with GenAl Observability, Traceability and Explainability using OpenAl and Anthropic models.
- Excellent communication and stakeholder management skills.
Nice to have
- Knowledge of financial products, risk analytics and customer behavior modeling.
- Certifications in Al/ML or cloud architecture are a plus.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Job Summary:
We are seeking a visionary and technically skilled Al Architect to lead the design, development, and
deployment of Al solutions across the bank in FS (Financial Services) vertical. This role will be
instrumental in shaping our Al strategy, ensuring scalable and secure integration of Al technologies into
core banking operations, customer experience, risk management and compliance.
Key Responsibilities:
Define and implement the bank's Al architecture and roadmap aligned with business goals.
Lead end-to-end solution design for GenAI/LLM, Al/ML models, including data pipelines, model
training/finetuning, with Hand-on with LLMOps.
Collaborate with cross-functional teams (data science, engineering, business units) to identify
GenAl/Al/automation use cases and deliver impactful solutions.
Ensure Al systems comply with regulatory requirements, ethical standards and data governance policies.
Evaluate and integrate emerging Al technologies, platforms, and tools.
Provide technical leadership and mentorship to Al engineers and data scientists.
Requirements
Qualifications:
Bachelor's or Master's degree in Computer Science, Data Science, Al or related field.
Proven experience in Al/ML solution architecture, preferably in financial services.
Strong knowledge of cloud platforms (Azure, Databrics), Statistics & data engineering
Familiarity with regulatory frameworks and ethical Al practices in banking.
Familiarity with GenAl Observability, Traceability and Explainability using OpenAl and Anthropic models.
Excellent communication and stakeholder management skills.
Preferred Skills:
Knowledge of financial products, risk analytics and customer behavior modeling.
Certifications in Al/ML or cloud architecture are a plus.
Company
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