Agentic AI Engineer
City 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 programmes
* Co-create solutions that move enterprises from AI-enabled to AI-native
* Contribute 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 environments
* Engineer modular components within the Agentic AI Framework
* Build and deploy scalable solutions across multi-cloud environments using containerisation, microservices and event-driven design
* Translate client challenges into engineered systems that reason, learn and adapt – improving efficiency, resilience and decision-making
* Bridge AI and data architecture to ensure agents are grounded in solid data foundations, scalable pipelines and secure governance
* Automate end-to-end with CI/CD pipelines, observability and responsible-AI guardrails
* Collaborate and mentor across disciplines to accelerate delivery and strengthen technical excellence
* Deliver 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 framework
* Hands-on experience in data engineering and architecture – APIs, streaming, ETL or data mesh principles
* Ability 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 models
* Understanding of LLM orchestration, RAG pipelines, tool-use and agent frameworks
* Degree or equivalent practical experience in computer science, data engineering, AI or a related technical field
* Proven hands-on experience in Agentic AI or GenAI engineering
* Strong programming fluency in Phyton
* Solid understanding of data and software architecture patterns such as microservices, message brokers, streaming and event driven design
* Demonstrated ability to deliver production grade AI solutions that integrate data pipelines, models and orchestration logic across multi-cloud or hybrid environments
* Certifications across AWS, Azure or Google Cloud
* Proven experience with data and AI platforms such as Databricks, Snowflake, Fabric or Elastic
* Prior involvement in digital transformation or AI native product development within enterprise settings