AI Engineer Consultant
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Key Responsibilities
• Develop and maintain core platform services (gateway, vector stores, integrations).
• Create and manage end‑to‑end agent workflows and orchestration pipelines.
• Build reusable embeddings and RAG (retrieval‑augmented generation) pipelines.
• Connect the AI platform to the enterprise data layer (Snowflake, AWS).
• Implement security controls: authentication, authorisation, secrets, network policies, and audit logging.
• Define governance processes for agents, tools, and third‑party components, ensuring compliance with internal policies and EU AI regulations.
• Set up observability (metrics, traces, alerts) and monitor cost, reliability, and performance of inference workloads.
• Produce standards, blueprints, and documentation; coach internal teams on platform usage.
• Track emerging AI technologies and prototype promising solutions. Required Skills & Experience
• Master’s degree or equivalent experience in Computer Science/Engineering.
• 5+ years of cloud‑native platform development (Python, CI/CD, IaC).
• Hands‑on experience with LLMs/agentic systems and vector/RAG architectures.
• Familiarity with major AI providers (AWS, Azure, Anthropic, Google) and container orchestration (Kubernetes/EKS).
• Strong security knowledge (IAM, secret management, audit trails).
• Ability to write clean, well‑tested code and guide peers through reviews.
• Excellent communication skills in English; Dutch or French. Core Competencies
• Agile delivery mindset and disciplined software engineering.
• Proactive coaching and enablement of cross‑functional teams.
• Analytical problem‑solving with a balanced build‑or‑buy approach. About HeadMind: HeadMind Partners is a leading consultancy and solutions provider in Artificial Intelligence, Cybersecurity, and Digital Transformation, operating in France and Belgium. Founded in 2000, HeadMind Partners now supports more than 160 major clients—including CAC 40, SBF 120 companies and public administrations—in their digital‑transformation journeys. It does so with multidisciplinary teams that comprise 500 cybersecurity experts, 130 cutting‑edge AI & Data engineers, and 340 digital‑transformation specialists.
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