Ascendion
Artificial Intelligence Consultant
London
Posted about 13 hours ago
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AI Architect
Job Description:
We are looking for an experienced AI Architect to design, develop, and deploy enterprise-grade Agentic AI and Generative AI solutions, from proof of concept to production.
Key Responsibilities:
- Architect and deploy Agentic AI, GenAI, multi-agent systems, and autonomous workflows.
- Build advanced RAG solutions, fine-tuned LLMs, and scalable AI applications.
- Design end-to-end data pipelines and implement MLOps, LLMOps, and AgentOps practices.
- Leverage cloud AI platforms across Azure, AWS, and GCP.
- Apply prompt engineering, context engineering, and AI observability tools.
- Ensure AI governance, data privacy, security, and responsible AI practices.
- Collaborate with stakeholders to translate complex business challenges into AI-driven solutions.
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Required Skills & Experience:
- Bachelor’s or Master’s degree in AI, Computer Science, Data Science, or a related field.
- 7+ years of experience in Data Science, Machine Learning, and AI solution delivery.
- Strong Python programming skills and hands-on experience with frameworks such as LangGraph, CrewAI, and PyTorch.
- Expertise in Agentic AI, MCP, A2A protocols, multi-agent frameworks, and GenAI integration.
- Experience with LLMs, RAG architectures, prompt engineering, and agent evaluation.
- Strong cloud expertise across Azure, AWS, and GCP, with knowledge of LLMOps/AgentOps.
- Familiarity with AI observability tools such as LangSmith and Langfuse.
- Understanding of responsible AI, enterprise security, data privacy, and AI governance.
- Excellent problem-solving, communication, and stakeholder management skills.
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- Certifications in AI, Data Science, or Cloud technologies.
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