We are seeking an AI Engineer to join our IT-AI team contributing to the development and enhancement of AI-powered product featuresprimarily within our Continuous Product Enhancement (CPE) initiatives. You will work hands-on with AI systems focusing on building testing and improving AI capabilities that deliver value to end users.
This role operates within a collaborative team structure working alongside experienced colleagues and contributing to shared delivery goals. You will focus on the application layerbuilding and refining AI featureswhile working within the platform infrastructure.
You Will:
AI Feature Development & Enhancement
- Build and improve AI-powered features within existing products (CPE focus)
- Develop and maintain agent tools and integrations
- Refine and optimise prompts for production use cases
- Support experiment tracking and model versioning (e.g. MLflow)
Testing & Quality
- Build and maintain test functions for existing AI toolsincluding exploring agent-based testing approaches where AI validates AI
- Develop and execute testing frameworks for AI/agent evaluation
- Build and maintain quality gates and automated checks
- Support champion/challenger validation before promotion
- Contribute to model observability and dashboard developmenttracking performance quality and usage patterns
Collaboration & Delivery
- Work closely with Data Scientists and AI engineers on productionising research outputs
- Coordinate with Platform Engineers on deployment and infrastructure needs
- Support tactical AI solutions in collaboration with team members and other groupsresponding to emerging business needs
- Participate in code reviews documentation and knowledge sharing
- Operate within team processes and contribute to shared delivery goals
#LI-Hybrid
Qualifications :
You Have:
Required Skills and Qualifications
- Masters or PHD or an equivalent amount of professional working experience
- 3 years of experience in ML and AI engineering
- Proficency in Python programming skills
- Understanding of ML/AI lifecycle and experiment tracking
- Good communication skills for working with technical and business teams
Good to Have
- Experience with MLOps tooling (e.g. MLflow)
- Exposure to AI and agent frameworks (e.g. AWS Strands Azure AI Agent Service LangChain LangSmith CrewAI) is a plus
- Experience with GenAI application development
- Experience with cloud platforms (AWS Azure) or data platforms (e.g. Databricks)
- Financial services background
- Familiar with Git and CI/CD workflows
What Were Looking For
- Strong problem-solving skills and attention to detail
- Clear communicationable to work effectively across teams
- Works well as part of a team with shared ownership
- Reliable delivers quality work and follows through on commitments
- At ease with changeyoull help define how we work not just follow a playbook
- Eager to learn and grow within a supportive team environment
What This Role Is Not
This role focuses on AI feature development not infrastructure. Platform engineering responsibilities (IaC CI/CD pipelines infrastructure MCP server deployment) sit with the Platform Engineering team.
Additional Information :
Whats in it for you to join MUFG Investor Services
Take a look at our careers site and youll find everything youd expect from a career with the fastest-growing business at one of the worlds largest financial groups. Now take another look. Because its how we defy expectations that really defines us. Youll feel that difference in all kinds of ways. Our vibrant CULTURE. Connected team. Love of innovation laser client focus and next-level LEARNING & DEVELOPMENT. Oh and we really walk the talk when it comes to HYBRID WORKING.
So why settle for the ordinary Apply now for a Brilliantly Different career.
MUFG is an equal opportunity employer.
Remote Work :
No
Employment Type :
Full-time
We are seeking an AI Engineer to join our IT-AI team contributing to the development and enhancement of AI-powered product featuresprimarily within our Continuous Product Enhancement (CPE) initiatives. You will work hands-on with AI systems focusing on building testing and improving AI capabilities ...
We are seeking an AI Engineer to join our IT-AI team contributing to the development and enhancement of AI-powered product featuresprimarily within our Continuous Product Enhancement (CPE) initiatives. You will work hands-on with AI systems focusing on building testing and improving AI capabilities that deliver value to end users.
This role operates within a collaborative team structure working alongside experienced colleagues and contributing to shared delivery goals. You will focus on the application layerbuilding and refining AI featureswhile working within the platform infrastructure.
You Will:
AI Feature Development & Enhancement
- Build and improve AI-powered features within existing products (CPE focus)
- Develop and maintain agent tools and integrations
- Refine and optimise prompts for production use cases
- Support experiment tracking and model versioning (e.g. MLflow)
Testing & Quality
- Build and maintain test functions for existing AI toolsincluding exploring agent-based testing approaches where AI validates AI
- Develop and execute testing frameworks for AI/agent evaluation
- Build and maintain quality gates and automated checks
- Support champion/challenger validation before promotion
- Contribute to model observability and dashboard developmenttracking performance quality and usage patterns
Collaboration & Delivery
- Work closely with Data Scientists and AI engineers on productionising research outputs
- Coordinate with Platform Engineers on deployment and infrastructure needs
- Support tactical AI solutions in collaboration with team members and other groupsresponding to emerging business needs
- Participate in code reviews documentation and knowledge sharing
- Operate within team processes and contribute to shared delivery goals
#LI-Hybrid
Qualifications :
You Have:
Required Skills and Qualifications
- Masters or PHD or an equivalent amount of professional working experience
- 3 years of experience in ML and AI engineering
- Proficency in Python programming skills
- Understanding of ML/AI lifecycle and experiment tracking
- Good communication skills for working with technical and business teams
Good to Have
- Experience with MLOps tooling (e.g. MLflow)
- Exposure to AI and agent frameworks (e.g. AWS Strands Azure AI Agent Service LangChain LangSmith CrewAI) is a plus
- Experience with GenAI application development
- Experience with cloud platforms (AWS Azure) or data platforms (e.g. Databricks)
- Financial services background
- Familiar with Git and CI/CD workflows
What Were Looking For
- Strong problem-solving skills and attention to detail
- Clear communicationable to work effectively across teams
- Works well as part of a team with shared ownership
- Reliable delivers quality work and follows through on commitments
- At ease with changeyoull help define how we work not just follow a playbook
- Eager to learn and grow within a supportive team environment
What This Role Is Not
This role focuses on AI feature development not infrastructure. Platform engineering responsibilities (IaC CI/CD pipelines infrastructure MCP server deployment) sit with the Platform Engineering team.
Additional Information :
Whats in it for you to join MUFG Investor Services
Take a look at our careers site and youll find everything youd expect from a career with the fastest-growing business at one of the worlds largest financial groups. Now take another look. Because its how we defy expectations that really defines us. Youll feel that difference in all kinds of ways. Our vibrant CULTURE. Connected team. Love of innovation laser client focus and next-level LEARNING & DEVELOPMENT. Oh and we really walk the talk when it comes to HYBRID WORKING.
So why settle for the ordinary Apply now for a Brilliantly Different career.
MUFG is an equal opportunity employer.
Remote Work :
No
Employment Type :
Full-time
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