Overview In this role you will lead AI/ML initiatives, steering architecture, design, and operation of enterprise AI/ML workloads in a cloud environment. You will partner with data scientists and engineers to deliver scalable platforms and automation that drive business value. You'll shape architectural strategy, oversee cross functional design, and mentor engineering teams to advance AI capabilities for predictive analytics and optimization. This is a hands-on leadership role with a focus on cloud-native delivery and operational excellence.
Responsibilities- Translate business vision into AI/ML architectural direction
- Participate in cross-functional design and consult on major technology initiatives
- Oversee technical implementation of cross-divisional architectural components
- Establish best practices and documentation to standardize engineering efforts
- Set vision and lead organization-wide initiatives and provide technical leadership
- Mentor teams and advise senior management on technical strategy
- Drive research, technology recommendations, and opportunities across the organization
- Lead performance coaching and career development for team members
Key requirements- Bachelor in Computer Science (or related field) with six years of relevant AI/ML architecture experience in financial services
- Experience architecting and deploying AI/ML systems with cloud-native microservices
- Strong leadership, mentoring, and cross-functional collaboration skills
- Proven ability to oversee large-scale data and ML platforms and CI/CD pipelines
- leadership
- mentoring
- cross-functional collaboration
- PyTorch
- Amazon Bedrock
- AWS SageMaker
