CrowdStrike GenAI Security Engineer
OpenKyber LLC
Hope, United States of America
1 month ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Remote
Hope, United States of America
Tech stack
API
Artificial Intelligence
Airflow
Algorithmic Trading
Amazon Web Services (AWS)
Azure
Cloud Computing
Continuous Integration
Python
Machine Learning
Software Tools
TensorFlow
Software Engineering
Google Cloud Platform
Enterprise Software Applications
Data Ingestion
PyTorch
Large Language Models
Spark
IT Architecture
Generative AI
Containerization
Scikit Learn
Kubernetes
Kafka
Machine Learning Operations
REST
Docker
Microservices
Job description
Job Summary seeking a highly skilled AI Architect to lead the design and implementation of enterprise-grade artificial intelligence solutions. This role will focus on building scalable AI/ML systems, integrating advanced analytics, and driving innovation across business units. The ideal candidate will have deep expertise in AI architecture, cloud platforms, and modern data ecosystems., * Design and architect scalable AI/ML solutions aligned with business objectives
- Lead end-to-end AI solution lifecycle: data ingestion, model development, deployment, and monitoring
- Develop and implement LLM-based and GenAI solutions for enterprise use cases
- Collaborate with data engineers, data scientists, and business stakeholders
- Define AI architecture standards, best practices, and governance frameworks
- Integrate AI models with enterprise systems via APIs and microservices
- Ensure performance, scalability, and security of AI systems
- Evaluate and recommend new AI tools, frameworks, and technologies
- Provide technical leadership and mentorship to engineering teams
Requirements
- 10+ years of experience in software engineering, with strong focus on AI/ML architecture
- Expertise in Python , and AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn
- Hands-on experience with Generative AI, LLMs, LangChain, or similar frameworks
- Strong knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform)
- Experience with data engineering tools (Spark, Kafka, Airflow, etc.)
- Solid understanding of REST APIs, microservices architecture , and system design
- Experience in MLOps (model deployment, CI/CD, monitoring)
- Strong problem-solving and analytical skills
Preferred Qualifications
- Experience in financial services or investment banking domain
- Knowledge of risk, compliance, or trading systems
- Familiarity with vector databases, embeddings, and RAG architectures
- Exposure to Kubernetes, Docker , and containerized deployments