Allianz

2 weeks ago

AI Automation Specialist_2881 (IN)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Design, develop, and operationalize agentic AI solutions for security automation at scale. Build LLM-based workflows, RAG pipelines, and orchestration frameworks that integrate with SIEM, SOAR, vulnerability scanners, WAF, and GRC systems via REST APIs. Apply security-first guardrails (prompt injection defenses, validation, rate limiting), while using Python/SQL and analytics tools to turn security telemetry into actionable intelligence and maintain responsible AI practices.

Location: India

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Partner with security product teams (Vulnerability Management, WAF, GRC) to identify automation opportunities and translate them into production-grade agentic workflows.
•Design and develop agentic AI systems using LLM frameworks to automate multi-step security workflows with minimal human intervention.
•Build and maintain RAG pipelines for intelligent querying and contextual analysis of security datasets, logs, and knowledge bases.
•Implement AI orchestration and workflow automation integrating with security tools (SIEM, SOAR, vulnerability scanners, WAF, GRC) via REST APIs.
•Apply security-first principles and responsible AI practices, including guardrails (prompt injection defenses, validation, rate-limiting), monitoring for drift/hallucinations, and maintaining audit trails.

Key Requirements

•Hands-on experience building multi-agent/agentic AI systems using orchestration frameworks like LangChain, LangGraph, AutoGen, or CrewAI.
•Practical experience integrating LLMs (e.g., OpenAI GPT, Anthropic Claude, Mistral or open-source) into production applications via APIs.
•Ability to design and implement RAG pipelines, including vector databases (Pinecone, Weaviate, FAISS, ChromaDB), embedding models, and chunking strategies.
•Advanced Python skills for AI workflow automation, data processing, and API integration for security tooling.
•Experience integrating AI agents with security platforms (SIEM, SOAR, vulnerability management, ticketing) via REST APIs while implementing AI guardrails.

Experience:CybersecurityLLMAgentic AIRAGDevSecOps

Skills:CollaborationAnalytical thinkingResponsible decision-making

Tech Stack:LangChainLangGraphAutoGenCrewAIOpenAI GPTAnthropic ClaudeMistralPythonSQLREST APIsSIEMSOARPineconeWeaviateFAISSChromaDBPandasNumPyGrafanaPower BI

Company Brief

Allianz

Global insurance and financial services group offering property-casualty insurance, life and health insurance, asset management, and corporate risk solutions to individuals, businesses, and institutions across more than 70 countries.

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 1890

Website LinkedIn

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Allianz

2 weeks ago

AI Automation Specialist_2881 (IN)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: India

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Partner with security product teams (Vulnerability Management, WAF, GRC) to identify automation opportunities and translate them into production-grade agentic workflows.
•Design and develop agentic AI systems using LLM frameworks to automate multi-step security workflows with minimal human intervention.
•Build and maintain RAG pipelines for intelligent querying and contextual analysis of security datasets, logs, and knowledge bases.
•Implement AI orchestration and workflow automation integrating with security tools (SIEM, SOAR, vulnerability scanners, WAF, GRC) via REST APIs.
•Apply security-first principles and responsible AI practices, including guardrails (prompt injection defenses, validation, rate-limiting), monitoring for drift/hallucinations, and maintaining audit trails.

Key Requirements

•Hands-on experience building multi-agent/agentic AI systems using orchestration frameworks like LangChain, LangGraph, AutoGen, or CrewAI.
•Practical experience integrating LLMs (e.g., OpenAI GPT, Anthropic Claude, Mistral or open-source) into production applications via APIs.
•Ability to design and implement RAG pipelines, including vector databases (Pinecone, Weaviate, FAISS, ChromaDB), embedding models, and chunking strategies.
•Advanced Python skills for AI workflow automation, data processing, and API integration for security tooling.
•Experience integrating AI agents with security platforms (SIEM, SOAR, vulnerability management, ticketing) via REST APIs while implementing AI guardrails.

Experience:CybersecurityLLMAgentic AIRAGDevSecOps

Skills:CollaborationAnalytical thinkingResponsible decision-making

Tech Stack:LangChainLangGraphAutoGenCrewAIOpenAI GPTAnthropic ClaudeMistralPythonSQLREST APIsSIEMSOARPineconeWeaviateFAISSChromaDBPandasNumPyGrafanaPower BI

Company Brief

Allianz

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 1890

Website LinkedIn