Ranking: 41
As a Security Specialist – AI Platforms, you will be responsible for designing, implementing, and securing cloud-native and AI-based architectures, ensuring compliance with regulatory frameworks and security best practices. You will collaborate with DevOps, Data, and AI teams to deliver secure, scalable, and compliant solutions.
Design and develop secure cloud architectures with a focus on AWS (multi-cloud exposure to Azure and GCP is a plus).
Build event-driven and microservices-based architectures.
Apply Zero Trust principles, least privilege access, segmentation, WAFs, API security, and context isolation.
Define and enforce security and compliance controls across cloud environments.
Design and secure AI solutions using Generative AI and LLMs.
Implement RAG (Retrieval-Augmented Generation) architectures.
Work with embeddings and vector databases (FAISS, Pinecone, Weaviate, OpenSearch).
Apply light fine-tuning techniques (LoRA, QLoRA, PEFT).
Design and manage LLM agents using frameworks such as LangChain.
Work with managed LLM services:
Amazon Bedrock
Azure OpenAI
OpenAI API
Vertex AI
Design and operate perimeter and application security services (WAF, API gateways, next-gen firewalls).
Implement federated identity and access management (OAuth2, OIDC, SAML).
Use cloud security posture management tools:
AWS Security Hub
Azure Defender
GCP Security Command Center
Ensure compliance with security and regulatory frameworks:
EU AI Act
NIST AI Risk Management Framework
CIS Benchmarks
OWASP Top 10 for LLMs
MAESTRO
Develop automation and integrations using Python (3+ years).
Build secure integrations with APIs and automate security workflows.
Work with SQL for complex queries and optimization.
Implement CI/CD pipelines with Git-based workflows.
Apply Infrastructure as Code using Terraform, CloudFormation, or CDK.
Containerize and deploy workloads using Docker, ECS/EKS, or similar platforms.
3+ years in DevOps / Cybersecurity or Security Architecture roles.
2+ years designing and developing cloud architectures.
5+ years designing and implementing secure architectures.
1+ year working on Generative AI / LLM-based projects.
Strong hands-on experience with AWS (minimum 2 years).
As a Security Specialist – AI Platforms, you will be responsible for designing, implementing, and securing cloud-native and AI-based architectures, ensuring compliance with regulatory frameworks and security best practices. You will collaborate with DevOps, Data, and AI teams to deliver secure, scalable, and compliant solutions.
Design and develop secure cloud architectures with a focus on AWS (multi-cloud exposure to Azure and GCP is a plus).
Build event-driven and microservices-based architectures.
Apply Zero Trust principles, least privilege access, segmentation, WAFs, API security, and context isolation.
Define and enforce security and compliance controls across cloud environments.
Design and secure AI solutions using Generative AI and LLMs.
Implement RAG (Retrieval-Augmented Generation) architectures.
Work with embeddings and vector databases (FAISS, Pinecone, Weaviate, OpenSearch).
Apply light fine-tuning techniques (LoRA, QLoRA, PEFT).
Design and manage LLM agents using frameworks such as LangChain.
Work with managed LLM services:
Amazon Bedrock
Azure OpenAI
OpenAI API
Vertex AI
Design and operate perimeter and application security services (WAF, API gateways, next-gen firewalls).
Implement federated identity and access management (OAuth2, OIDC, SAML).
Use cloud security posture management tools:
AWS Security Hub
Azure Defender
GCP Security Command Center
Ensure compliance with security and regulatory frameworks:
EU AI Act
NIST AI Risk Management Framework
CIS Benchmarks
OWASP Top 10 for LLMs
MAESTRO
Develop automation and integrations using Python (3+ years).
Build secure integrations with APIs and automate security workflows.
Work with SQL for complex queries and optimization.
Implement CI/CD pipelines with Git-based workflows.
Apply Infrastructure as Code using Terraform, CloudFormation, or CDK.
Containerize and deploy workloads using Docker, ECS/EKS, or similar platforms.
3+ years in DevOps / Cybersecurity or Security Architecture roles.
2+ years designing and developing cloud architectures.
5+ years designing and implementing secure architectures.
1+ year working on Generative AI / LLM-based projects.
Strong hands-on experience with AWS (minimum 2 years).
