AI Engineer

Andersen is hiring an AI Engineer for a project developing enterprise AI solutions and accelerating Generative AI adoption through scalable automation and intelligent services.

The customer is a technology-oriented service provider offering a range of digital, connectivity, and business solutions to both individual and organizational clients. Its activities include communication services, digital platforms, infrastructure solutions, and technology-enabled services designed to support everyday needs and business operations.

The project is focused on expanding enterprise AI and data capabilities to accelerate Generative AI adoption across a telecommunications organization. It includes developing AI copilots, intelligent search, document intelligence, and agent-based automation while ensuring secure, scalable, production-ready implementation and measurable business value.

Responsibilities:

• Designing and developing GenAI solutions using Azure AI Foundry and Azure OpenAI Service.

• Building Retrieval-Augmented Generation (RAG) platforms and AI copilots.

• Developing agentic AI workflows and autonomous AI assistants.

• Implementing document intelligence and enterprising knowledge management solutions.

• Building and optimizing vector search, embeddings, retrieval pipelines and re-ranking mechanisms.

• Integrating AI capabilities with enterprise data platforms and business systems.

• Creating production-grade evaluation, monitoring and observability frameworks for AI solutions.

• Implementing LLMOps and MLOps practices using Azure-native tooling.

• Ensuring compliance with security, privacy, governance and data residency requirements.

• Collaborating with business teams to identify AI opportunities and deliver PoCs and production solutions.

• Optimizing AI workloads for quality, latency and cost efficiency.

• Supporting deployment and operation of AI solutions in enterprise environments.

Requirements:

• Experience in AI Engineering, Machine Learning…