RecruityTalent
1 - 10 employees
Founded 2024
🎯 Recruiter
🤝 B2B
Recruitment • B2B
RecruityTalent is a recruitment agency that partners with companies to manage the full hiring lifecycle, offering standard and flexible solutions through onsite recruitment projects and agency services. It provides end-to-end hiring support — including job postings, candidate sourcing, screening, interviews and offer management — with experience in IT, BPO and executive search, aligning hiring to clients' business vision and company culture.
Head of AI Solutioning
Job not on LinkedIn
🕒 March 29
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RecruityTalent
1 - 10 employees
Founded 2024
🎯 Recruiter
🤝 B2B
Recruitment • B2B
RecruityTalent is a recruitment agency that partners with companies to manage the full hiring lifecycle, offering standard and flexible solutions through onsite recruitment projects and agency services. It provides end-to-end hiring support — including job postings, candidate sourcing, screening, interviews and offer management — with experience in IT, BPO and executive search, aligning hiring to clients' business vision and company culture.
📋 Description
• Analyze business processes and identify AI opportunities • Design scalable AI architectures • Develop end-to-end use cases—from PoC to production • Define and own architectures for modern AI systems • Establish best practices for MLOps / LLMOps • Ensure scalability, security, and performance of AI solutions • Integrate LLMs and ML models into existing enterprise landscapes • Enable business units to effectively adopt and use AI • Drive transformation and change initiatives • Implement monitoring, drift detection, and retraining mechanisms • Ensure reliable and efficient operation of production AI systems • Build and grow an AI-focused team • Support presales, proposals, and client presentations
🎯 Requirements
• Several years of experience delivering AI/ML solutions in enterprise environments • Strong consulting mindset with experience in client-facing roles (workshops, stakeholder management, C-level communication) • Solid expertise in: • Data Science & Machine Learning • MLOps / LLMOps • RAG architectures, agent systems, and modern AI patterns • Monitoring, drift detection, and retraining strategies • Strong programming skills in Python • Hands-on experience with Docker, Kubernetes, MLflow • Experience with at least one hyperscaler cloud: AWS, Azure, or GCP • Proven ability to integrate AI into complex system landscapes (APIs, microservices, legacy systems) • Strategic thinking combined with a hands-on mentality • English • German nice to have
🏖️ Benefits
• Consulting & Solution Design • Analyze business processes and identify AI opportunities • Design scalable AI architectures (especially LLM-based solutions) • Develop end-to-end use cases—from PoC to production • Technical Leadership • Define and own architectures for modern AI systems (including RAG, agent-based systems, MCP approaches) • Establish best practices for MLOps / LLMOps • Ensure scalability, security, and performance of AI solutions • Integration & Adoption • Integrate LLMs and ML models into existing enterprise landscapes • Enable business units to effectively adopt and use AI • Drive transformation and change initiatives • Operations & Quality • Implement monitoring, drift detection, and retraining mechanisms • Ensure reliable and efficient operation of production AI systems • Address governance, compliance, and Responsible AI aspects • Team & Business Development • Build and grow an AI-focused team • Support presales, proposals, and client presentations • Act as a thought leader in Enterprise AI
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