Agentic AI Engineer

3 weeks ago

City of London, United Kingdom i3 Full time

Agentic AI EngineerCity of London£90,000 +++ As an Agentic AI Engineer, you’ll design and build intelligent systems that think, reason and act.Solve hard problems at scale, integrate data, AI and automation to create self-improving systems that deliver measurable business value.You’ll work with as part of a Data and AI hands-on engineering team that’s turning Agentic AI from concept to production reality.The role: Lead solution engineering for agentic systems that become core to client transformation programmesCo-create solutions that move enterprises from AI-enabled to AI-nativeContribute to a global framework defining how intelligent systems are built, governed and scaled Design and build agentic systems that combine reasoning, planning and action across complex enterprise environmentsEngineer modular components within the Agentic AI FrameworkBuild and deploy scalable solutions across multi-cloud environments using containerisation, microservices and event-driven designTranslate client challenges into engineered systems that reason, learn and adapt – improving efficiency, resilience and decision-makingBridge AI and data architecture to ensure agents are grounded in solid data foundations, scalable pipelines and secure governanceAutomate end-to-end with CI/CD pipelines, observability and responsible-AI guardrailsCollaborate and mentor across disciplines to accelerate delivery and strengthen technical excellenceDeliver measurable outcomes that move clients from AI-enabled experiments to production-grade AI-native enterprise We need:Strong coding skills in Python and experience with agentic and LLM frameworkHands-on experience in data engineering and architecture – APIs, streaming, ETL or data mesh principlesAbility to work across multi-cloud and data platform ecosystems (AWS, Azure, GCP, Databricks, Snowflake, Fabric, Elastic)Familiarity with vector databases, knowledge graphs or temporal data modelsUnderstanding of LLM orchestration, RAG pipelines, tool-use and agent frameworksDegree or equivalent practical experience in computer science, data engineering, AI or a related technical fieldProven hands-on experience in Agentic AI or GenAI engineeringStrong programming fluency in PhytonSolid understanding of data and software architecture patterns such as microservices, message brokers, streaming and event driven designDemonstrated ability to deliver production grade AI solutions that integrate data pipelines, models and orchestration logic across multi-cloud or hybrid environmentsCertifications across AWS, Azure or Google CloudProven experience with data and AI platforms such as Databricks, Snowflake, Fabric or ElasticPrior involvement in digital transformation or AI native product development within enterprise settings

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