AI Automation Specialist_2881

Allianz Technology; Maharashtra; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Allianz Technology is seeking an AI Generalist within the Security Services Tribe to design, develop, and operationalise agentic AI solutions for large-scale security data. You will implement LLM workflows, RAG pipelines, and multi-step orchestration aligned with Vulnerability Management, WAF, and GRC, ensuring robust AI guardrails in a cybersecurity context.

The role emphasizes building secure AI-powered workflows, CI/CD deployment with proper access controls, and strong collaboration with

Qualifications

• Hands-on experience building multi-agent or agentic AI systems with orchestration frameworks.
• Practical experience integrating large language models into production applications via APIs.
• Design and implement Retrieval-Augmented Generation systems with vector databases and embedding models.
• Advanced scripting for AI workflow automation, data processing, and security tooling.
• Experience integrating AI agents with security platforms via REST APIs.
• Knowledge of agentic AI security risks and implementing guardrails and safe outputs.

Responsibilities

• Partner with security product teams to analyze operations and translate into production-grade agentic workflows.
• Design and develop Agentic AI systems to automate multi-step security workflows with minimal human intervention.
• Build and maintain RAG pipelines for intelligent querying of large security datasets and logs.
• Implement AI orchestration and workflow automation integrating with SIEM, SOAR, and GRC systems via REST APIs.
• Apply security-first principles: guardrails, prompt defense, output validation, rate-limiting.

Skills

Agentic AI Development

LLM Integration

RAG Pipelines

Python

REST API Integration

AI Security & Guardrails

Data Analytics

Cybersecurity Domain Awareness

Tools

LangChain

LangGraph

AutoGen

Pinecone

FAISS

Grafana

Power BI

Job description

Overall Objectives of Job

The AI Generalist is a pivotal technical role within the 'Automation chapter' of the Security Services Tribe. The role is responsible for designing, developing, and operationalising Agentic AI solutions — encompassing LLM-based workflows, Retrieval-Augmented Generation (RAG) pipelines, and multi-step orchestration frameworks — that enable to apply intelligence on large volumes of security data at scale.

Overall Objectives of Job

The AI Generalist is a pivotal technical role within the 'Automation chapter' of the Security Services Tribe. The role is responsible for designing, developing, and operationalising Agentic AI solutions — encompassing LLM-based workflows, Retrieval-Augmented Generation (RAG) pipelines, and multi-step orchestration frameworks — that enable to apply intelligence on large volumes of security data at scale. The engineer will work closely with security service product owners across Vulnerability Management, Web Application Firewall (WAF), Governance Risk and Compliance (GRC), and other domains to identify automation opportunities, build secure AI-powered workflows, and enforce robust AI guardrails appropriate for the sensitive cybersecurity environment.

Core Responsibilities

• Partner with security product teams (Vulnerability Management, WAF, GRC) to analyse operations, identify AI/automation opportunities, and translate them into production-grade agentic workflows.
• Design and develop Agentic AI systems using LLM frameworks (LangChain, LangGraph, AutoGen, or equivalent) to automate multi-step security workflows with minimal human intervention.
• Build and maintain Retrieval-Augmented Generation (RAG) pipelines to enable intelligent querying and contextual analysis of large security datasets, logs, and knowledge bases.
• Implement AI orchestration and workflow automation solutions that integrate with security tools such as SIEM, SOAR, vulnerability scanners, WAF platforms, and GRC systems via REST APIs.
• Apply security-first principles to all AI development — implement guardrails, prompt injection defences, output validation, and rate-limiting controls to protect AI pipelines in a sensitive cybersecurity context.
• Develop data analytics capabilities to derive actionable intelligence from large-scale security telemetry, alert data, and threat feeds using Python, SQL, and data visualisation tools.
• Ensure responsible AI practices: monitor for model drift, hallucination risks, bias in AI-driven decisions, and maintain audit trails for AI-assisted security actions.
• Collaborate with DevSecOps and platform teams to deploy AI models and workflows through CI/CD pipelines with appropriate access controls and secrets management.

Primary Skills

• Agentic AI Development (Mandatory) — hands-on experience building multi-agent or agentic AI systems using LangChain, LangGraph, AutoGen, CrewAI, or comparable orchestration frameworks.
• LLM Integration (Mandatory) — practical experience integrating large language models (OpenAI GPT, Anthropic Claude, Mistral, or open-source equivalents) into production applications via APIs.
• RAG Pipelines (Mandatory) — design and implementation of Retrieval-Augmented Generation systems including vector databases (Pinecone, Weaviate, FAISS, ChromaDB), embedding models, and chunking strategies.
• Python (Mandatory) — advanced scripting for AI workflow automation, data processing, API integration, and security tooling.
• REST API Integration (Mandatory) — experience integrating AI agents with third-party security platforms (SIEM, SOAR, vulnerability management, ticketing) via REST APIs.
• AI Security & Guardrails — knowledge of agentic AI security risks (prompt injection, data leakage, tool misuse) and hands-on experience implementing guardrails, input sanitisation, and safe output handling.
• Data Analytics — proficiency in analysing and deriving insights from large structured/unstructured datasets using Python (Pandas, NumPy), SQL, and visualisation tools (Grafana, Power BI, or similar).
• Cybersecurity Domain Awareness — working knowledge of security operations concepts: vulnerability management lifecycles, WAF rule logic, GRC frameworks, SOC workflows, and security alert triage.

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. We are united by a shared commitment: to put our customers first and at the center of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future – for our customers and for the world around us.

At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

Great to have you on board. Let's care for tomorrow. Note: Having different strengths, experiences, perspectives and approaches is an integral part of Allianz‘ company culture. One means to achieve this is a regular rotation of Allianz employees across functions, Allianz entities and geographies. Therefore, Allianz expects from its employees a general openness and a high motivation to regularly change positions and collect experiences across Allianz Group.