AI Architect – Agentic Systems (LLM & Multi-Agent Solutions)

We are looking for a highly skilled and hands-on AI Architect to design and lead the implementation of multi-agent (agentic) systems in enterprise environments. 

This is not a prompt engineering or chatbot role. We are focused on building production-grade AI systems where multiple agents collaborate reason and execute complex workflows integrated with real business processes.

Key Responsibilities

• Design multi-agent architectures (task decomposition orchestration coordination patterns)  

• Define how LLM-powered agents interact with:  

• Enterprise data platforms 

• APIs and tools 

• Operational workflows 

• Lead agentic systems from PoC to production with model cost security privacy and responsible AI guardrails 

• Establish  observability tracing feedback loops and controls for agent behavior 

• Define memory strategies (short-term long-term contextual grounding) 

• Collaborate with data platform and engineering teams to integrate AI into core systems 

• Guide and train teams on best practices for scalable and reliable AI systems 

Qualifications :

What Were Looking For 

Core Experience 

• Strong background in software architecture and distributed systems 

• Hands-on experience building complex LLM-based applications  

• Experience designing complex workflows or orchestration systems 

• Solid understanding of RAG architectures retrieval optimization and retrieval quality 

LLM & AI Foundations 

• Strong understanding of Large Language Model (LLM) fundamentals not just usage 

• Solid grasp of Transformer architecture (attention mechanisms embeddings tokenization) 

• Understanding of how LLMs are trained and behave:  

• Pretraining vs fine-tuning vs instruction tuning 

• Context windows and limitations 

• Hallucinations and mitigation strategies 

• Familiarity with NLP concepts:  

• Semantic similarity 

• Text embeddings and vector representations 

• Information retrieval principles 

• Ability to reason about model behavior and limitations not treat LLMs as black boxes 

Agentic / AI-Specific 

• Experience with multi-agent frameworks (LangChain Semantic Kernel Agent Framework CrewAI or custom) 

• Experience on platforms for managing the lifecycle of generative AI applications and agents like Amazon Bedrock (AWS) Google Vertex AI (GCP) or Azure AI Foundry 

• Familiarity with protocols like: MCP UCP A2A AP2 

• Familiarity with:  

• Tool use / function calling 

• Agent coordination patterns 

• Memory and context management 

• Experience evaluating and improving LLM reliability and accuracy 

Engineering & Platform 

• Cloud experience (AWS Azure or GCP) 

• Strong coding skills (Python preferred) 

• Experience integrating AI with enterprise systems (APIs data platforms event-driven systems) 

What Makes This Role Different 

• Focus on systems not isolated models 

• Real enterprise use cases not experimental demos 

• Opportunity to define architecture patterns for agentic systems 

• Work at the intersection of AI data and distributed systems 

Additional Information :

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package share plan company performance bonuses value-based recognition awards referral bonus;  
• Career Development: Career coaching global career opportunities non-linear career paths internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects rotations internal tech communities training certifications coaching online learning platforms subscriptions pass-it-on sessions workshops conferences;
• Work-Life Balance: Hybrid work and flexible working hours employee assistance programme;
• Health: Global internal wellbeing programme access to wellbeing apps;
• Community: Global internal tech communities hobby clubs and interest groups inclusion and diversity programmes events and celebrations.

At Endava were committed to creating an open inclusive and respectful environment where everyone feels safe valued and empowered to be their best. We welcome applications from people of all backgrounds experiences and perspectivesbecause we know that inclusive teams help us deliver smarter more innovative solutions for our customers. Hiring decisions are based on merit skills qualifications and potential. If you need adjustments or support during the recruitment process please let us know.

Remote Work :

No

Employment Type :

Full-time