Senior AI Engineer
Senior AI Engineer
Posted today
SENIORITY
Lead
About the role
- Architect and scale machine learning pipelines to support automated workflows across Fund Accounting, Transfer Agency, and Onboarding
- Oversee the development and deployment of robust AI infrastructure leveraging enterprise data lakes and cloud platforms
- Lead technical initiatives to integrate AI capabilities into existing legacy systems and financial platforms
- Establish MLOps best practices and technical KPIs tied to system uptime, model latency, and infrastructure efficiency
- Mentor junior engineering staff and advise the Managing Director on technical priorities and secure AI governance
- 7+ years of experience across software engineering, data engineering, or machine learning operations
- Demonstrated ability to architect scalable data pipelines and deliver measurable technical outcomes
- Deep expertise in Python, SQL, and enterprise cloud data platforms
- Ability to work effectively with business operations to translate operational needs into technical architecture
- Experience in financial services or fund administration preferred but not required
- Strong technical leadership and mentoring skills
- Operator mindset with a focus on execution and reliable technical outcomes
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
