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1–2 jobs· newest first

Sr Staff AI Security EngineerNew
SCAN Health Insurance · Long Beach, US
$173K–$226KHybrid · Full-time · Staff
Sr. Engineer I - AI Developer
MKS Instruments · Gurgaon, India
Full-time · Mid

+10K new in the last hour

Sr Staff AI Security Engineer

SCAN Health Insurance · Posted Sep 1, 2026

Long Beach, California, United States
Hybrid
Full-time · Staff
$173K–$226K per year

10+ years

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Serve as the primary architect and guardian of the Artificial Intelligence ecosystem, responsible for end-to-end security of AI architectures within Azure.

Compensation

Base Salary Range: $172,780 to $225,720 annually. An annual employee bonus program

Responsibilities

Design and implement secure-by-design architectures for the entire AI lifecycle, including data ingestion, model training, fine-tuning, and inference.
Lead the security configuration for Azure OpenAI Studio, Azure AI Foundry, and Azure AI Search.
Develop and deploy security controls, including prompt injection mitigations, rate limiting, and content filtering.
Securely implement and oversee Model Context Protocol (MCP) to facilitate safe communication between AI models and local/remote data sources.
Establish and maintain AI security standards based on global frameworks (e.g., NIST AI RMF, ISO/IEC 42001, OWASP Top 10 for LLMs).

Requirements

Nice to have: Azure AI Studio
Nice to have: Azure Machine Learning
Nice to have: Azure Kubernetes Service (AKS)
Nice to have: Model Context Protocol (MCP)
Nice to have: API security (REST, gRPC)

Skills

Cybersecurity AI/ML Security Azure OpenAI Azure AI Search Azure AI Foundry LLM vulnerabilities Prompt Injection Insecure Output Handling Training Data Poisoning Vector database security Sensitive data masking AI Governance frameworks Python PowerShell Bash Azure Entra ID Managed Identities Azure OpenAI Studio Azure AI Studio Azure Machine Learning Azure Kubernetes Service (AKS)

Benefits

Annual employee bonus program
Robust Wellness Program
Generous paid-time-off (PTO)
11 paid holidays per year
1 floating holiday

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Sr. Engineer I - AI Developer

MKS Instruments · Posted Oct 29, 2026

Gurgaon, Haryana, India
Full-time · Mid
3–5 years

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Develop, deploy, and optimize AI and Machine Learning solutions using traditional ML techniques and advanced Generative AI models on Azure Cloud.

Responsibilities

Developing and deploying web applications and scalable serverless functions on Azure Cloud
Designing and implementing AI/ML solutions using Azure OpenAI Studio and Azure AI Services, including Chat Playground
Developing, training, evaluating, and optimizing Machine Learning models for predictive analytics, forecasting, classification, regression, and NLP use cases
Selecting appropriate Large Language Models (LLMs) based on business requirements and use cases
Engineering effective prompts and optimizing prompt engineering to improve AI solution accuracy and performance

Requirements

Bachelor's degree in Computer Applications
Master's degree in Computer Applications
Bachelor's degree in Computer Science
Master's degree in Computer Science
Bachelor's degree in Artificial Intelligence

Skills

Python Streamlit Machine Learning Natural Language Processing (NLP)

Azure OpenAI Studio

Azure AI Services

Azure AI Foundry

Azure AI Search

Prompt Engineering

Retrieval-Augmented Generation (RAG)

Azure Functions

Visual Studio Code

See full job description