Senior Staff Developer, AI Detections

Arctic Wolf Networks

15 - 20 years

11 - 15 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

automation backend risk analytics information security machine learning security operations distribution system monitoring financial services python

Work Mode

Work from Office

Job Type

Full Time

Job Description

About the Role

Act as a technical authority and system architect for the AI Threat Intel Platform, driving long-term architecture and design decisions.
Lead the design and evolution of AI-driven fraud, risk, and anomaly detection systems operating at scale.
Architect and build advanced agentic AI frameworks using LangChain, LangGraph, or similar technologies for reasoning, orchestration, and autonomous execution.
Design and guide implementation of highly scalable backend platforms and microservices using Python, Go, and cloud-native technologies.
Own architectural patterns for resilience, performance, observability, and security across distributed systems.
Design and influence event-driven, real-time pipelines using AWS services such as RDS, DynamoDB, Lambda, EKS/Kubernetes, streaming, and messaging frameworks.
Define and evolve MLOps architecture , including model lifecycle management, deployment strategies, monitoring, and real-time inference at scale.
Drive integration of LLMs and autonomous agents for dynamic pattern detection, correlation, decision automation, and adaptive response.
Set engineering standards for code quality, testing, documentation, and operational excellence across teams.
Partner with product, data science, threat intelligence, and platform leadership to align technical execution with business and security outcomes.
Lead complex technical initiatives across multiple teams without direct authority, influencing through expertise and collaboration.
Mentor senior and junior engineers, grow technical talent, and raise the overall engineering bar.
Contribute to R&D initiatives, technical reviews, architecture forums, demos, and innovation programs.

About You

15+ years of experience in software engineering, backend/platform development, distributed systems, or applied machine learning.
Proven track record as a Senior Staff / Principal-level engineer driving architecture and delivering complex, high-impact systems.
Deep expertise in backend and distributed systems , including large-scale, real-time, or data-intensive platforms.
Strong experience with fraud detection, risk analytics, behavioral modeling, or anomaly detection in domains such as cybersecurity, fintech, or ad tech.
Hands-on experience designing or integrating agentic AI systems (LangChain, LangGraph, Semantic Kernel, or similar).
Expert-level programming skills in Python (preferred) and/or Go .
Strong understanding of ML frameworks such as PyTorch, TensorFlow, or Scikit-learn , with practical production experience.
Extensive experience with cloud-native architectures , Kubernetes, Docker, Terraform, and event-driven systems.
Deep knowledge of MLOps , data pipelines, feature engineering, model deployment, and observability.
Strong grasp of LLM orchestration, prompt strategies, evaluation, and AI system reliability .
Experience operating and scaling systems on AWS or equivalent cloud platforms .
Demonstrated ability to lead ambiguous, high-impact initiatives independently.
Excellent communication skills with the ability to influence senior technical and non-technical stakeholders.
Passion for mentoring, technical excellence, and building durable, future-proof platforms.

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