AI Architect
At a glance
Mid-level AI Engineering role at Infosys Singapore & Australia. Singapore · full-time.
Pay not stated AI Architect salary
aimlroles summary, based on the employer's posting.
What you'll do
- Set the bank’s AI architecture and roadmap around its business priorities
- Design GenAI and machine-learning solutions end to end, including data flows, model training and LLMOps
- Work with data science, engineering and business teams to find AI and automation uses and deliver solutions
- Build in regulatory, ethical and data-governance requirements, while assessing new AI platforms and tools
- Guide AI engineers and data scientists through technical leadership and mentorship
What you bring
- A bachelor’s or master’s degree in computer science, data science, AI or a related discipline
- Experience designing AI/ML solutions, ideally in financial services
- Strong grounding in cloud platforms such as Azure and Databricks, statistics and data engineering
- Familiarity with banking regulation, ethical AI, and GenAI observability, traceability and explainability using OpenAI or Anthropic models
Who this fits
This role suits someone who can shape AI architecture and guide engineers and data scientists. It is a full-time, on-site position in Singapore.
From the 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.