AI Architect – Agentic Systems (LLM & Multi-Agent Solutions)Full-timeTechnology is our how.
And people are our why.
For over two decades, we have been harnessing technology to drive meaningful change.By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.From prototype to real-world impact - be part of a global shift by doing work that matters.We are looking for a highly skilled and hands-onAIArchitecttodesign and lead the implementation ofmulti-agent (agentic) systemsin enterprise environments.This is not a prompt engineering or chatbot role.We are focused on buildingproduction-grade AI systems, where multiple agents collaborate, reason, and execute complex workflows integrated withreal businessprocesses.Key ResponsibilitiesDesignmulti-agent architectures(task decomposition, orchestration, coordination patterns)Define how LLM-powered agents interact with:APIs and toolsOperational workflowsLeadagentic systems from PoC to productionwith model, cost, security, privacy, and responsible AI guardrailsEstablishobservability, tracing, feedback loops, and controlsfor agent behaviorDefinememory strategies(short-term, long-term, contextual grounding)Collaborate with data, platform,



and engineering teams to integrate AI into core systemsGuideand trainteams onbest practices for scalable and reliable AI systemsWhatWe'reLooking ForCore ExperienceStrong background insoftware architecture and distributed systemsHands-on experience buildingcomplexLLM-based applicationsExperience designingcomplex workflows or orchestration systemsSolid understanding ofRAGarchitectures, retrieval optimization, and retrieval qualityLLM & AI FoundationsStrong understanding ofLarge Language Model (LLM) fundamentals, not just usageSolid grasp ofTransformer architecture(attention mechanisms, embeddings, tokenization)Understanding of how LLMs are trained and behave:Context windows and limitationsHallucinations and mitigation strategiesFamiliarity withNLP concepts:Semantic similarityText embeddings and vector representationsAbility to reason aboutmodel behavior and limitations, not treat LLMs as black boxesAgentic / AI-SpecificExperience withmulti-agent frameworks(LangChain, Semantic Kernel,Agent Framework,CrewAI, or custom)Experience on platforms for managing the lifecycle of generative AI applications and agents likeAmazon Bedrock (AWS), Google Vertex AI (GCP)orAzure AI FoundryFamiliarity with protocols like: MCP, UCP,A2A,AP2Familiarity with:Tool use / function callingAgent coordination patternsMemory and context managementExperience evaluating and improvingLLM reliability and accuracyCloud experience (AWS, Azure, or GCP)Experience integrating AI with enterprise systems (APIs, data platforms, event-driven systems)What Makes This Role DifferentFocus onsystems,



not isolated modelsRealenterprise use cases, not experimental demosOpportunity to definearchitecture patterns for agentic systemsWork at the intersection ofAI, data, and distributed systemsDiscover 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 versátil 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, we're 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 perspectives—because 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.
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📌 Ai Architect – Agentic Systems (Monterrey)
🏢 Endava
📍 Monterrey