AI Engineer

In this AI Engineer role, you will advance Accenture’s SOC capabilities by building and tuning AI-powered workflows and LLM-based applications. You will collaborate with security engineers and SOC analysts to deploy production-ready solutions that integrate with existing tooling. The position focuses on scalable, secure AI designs, governance, and cost-aware deployment in a security-sensitive environment. This is a hands-on, impact-focused role shaping defensive cyber operations with cutting-edge AI.

• Configure, evaluate and tune LLMs for security use cases (prompt engineering, system prompts, RAG, tool calls)
• Design, build and maintain AI agents and agentic workflows with platforms like Azure AI Foundry, integrating with SOAR/SIEM/EDR
• Implement safeguards against adversarial inputs and ensure robust security standards
• Architect modular, scalable AI solutions following secure development principles
• Align implementations with AI governance framework (data handling, audit logging, human-in-the-loop, compliance)
• Monitor and optimize LLM API usage and infrastructure costs (caching, tiering, guardrails)
• Collaborate with security engineers and SOC analysts to prototype and iterate
• Produce clear technical documentation for ongoing management

• 2+ years in AI/ML engineering
• Hands-on experience building and deploying AI agents or LLM-powered apps in production with observability and evaluation
• Experience with enterprise AI platforms (Azure AI Foundry, AWS Bedrock, Google Vertex AI or similar)
• Solid understanding of LLM concepts and vector databases (context windows, temperature, prompts, tool calls)
• Experience implementing end-to-end RAG pipelines (data ingestion, chunking, embeddings, retrieval tuning)
• Experience parsing and ingesting unstructured data into pipelines
• Knowledge of AI security risks including OWASP LLM Top 10 and mitigations
• Experience working within enterprise governance frameworks
• Proficiency in Python and familiarity with AI/ML libraries
• Ability to build tools that interface with LLMs and use REST APIs for integration
• Strong focus on security, governance and compliance

• collaborative problem-solving
• self-motivated and pragmatic
• ability to manage competing priorities
• Azure AI Foundry
• AWS Bedrock
• Google Vertex AI