- Company Name
- Caspian One
- Job Title
- AI Engineer (VP) – Top Investment Bank
- Job Description
-
Job title: AI Engineer (VP)
Role Summary: Lead the design, development, and scaling of a cloud‑native AI platform that empowers front‑office traders and quantitative developers. Drive adoption of Generative AI and ML infrastructure across cloud and on‑prem environments while mentoring a small engineering team.
Expectations: Deliver secure, cost‑aware, and scalable platform services in AWS and Kubernetes; influence cross‑functional engineering practices; maintain high code quality, testing standards, and continuous learning in cutting‑edge AI technologies.
Key Responsibilities:
- Architect and build AI‑driven trading platform services using AWS (S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, etc.) and Kubernetes‑based on‑prem clusters.
- Lead a small team of engineers, ensuring technical excellence while remaining hands‑on in coding and problem‑solving.
- Collaborate with infrastructure, platform, and data teams to align capabilities, eliminate duplication, and enforce best practices.
- Design secure, scalable, and cost‑efficient systems that meet regulatory and operational requirements.
- Mentor junior engineers and establish coding, testing, and DevOps standards for AI/ML infrastructure.
- Champion modern engineering trends, staying ahead of the curve in Generative AI, ML infrastructure, and cloud‑native tooling.
- Drive the adoption of GenAI concepts within front‑office and capital market workflows.
Required Skills:
- 10+ years of software/data engineering experience, preferably in platform or infrastructure roles.
- Proficient in Python (Java experience is a plus); strong emphasis on clean code and automated testing.
- Deep knowledge of AWS services: S3, Glue, Kinesis, Lambda, Step Functions, SageMaker, ECS, IAM, KMS, API Gateway, CloudFormation, MSK, etc.
- Experience with Kubernetes (including managed Kubernetes platforms) and on‑prem Hadoop ecosystems.
- Hands‑on expertise with Generative AI, machine learning pipelines, and cost‑management/optimization on AWS.
- Familiarity with front‑office developer workflows in financial services.
- Strong leadership, communication, and mentorship capabilities.
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related technical field (advanced degree preferred).
- AWS Certified Solutions Architect, Developer, or ML Specialty certifications are a plus.