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

- Full-time

Technology 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 Responsibilities

Designmulti-agent architectures(task decomposition, orchestration, coordination patterns)

Define how LLM-powered agents interact with:

APIs and tools

Operational workflows

Leadagentic systems from PoC to productionwith model, cost, security, privacy, and responsible AI guardrails

Establishobservability, tracing, feedback loops, and controlsfor agent behavior

Definememory strategies(short-term, long-term, contextual grounding)

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

Guideand trainteams onbest practices for scalable and reliable AI systems

WhatWe’reLooking For

Core Experience

Strong background insoftware architecture and distributed systems

Hands-on experience buildingcomplexLLM-based applications





Experience designingcomplex workflows or orchestration systems

Solid understanding ofRAGarchitectures, retrieval optimization, and retrieval quality

LLM & AI Foundations

Strong understanding ofLarge Language Model (LLM) fundamentals, not just usage

Solid grasp ofTransformer architecture(attention mechanisms, embeddings, tokenization)

Understanding of how LLMs are trained and behave:

Context windows and limitations

Hallucinations and mitigation strategies

Familiarity withNLP concepts:

Semantic similarity

Text embeddings and vector representations

Ability to reason aboutmodel behavior and limitations, not treat LLMs as black boxes

Agentic / AI-Specific

Experience 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 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 improvingLLM reliability and accuracy

Cloud experience (AWS, Azure, or GCP)

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

What Makes This Role Different

Focus onsystems,



not isolated models

Realenterprise use cases, not experimental demos

Opportunity to definearchitecture patterns for agentic systems

Work at the intersection ofAI, data, and distributed systems

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, integral 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, 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 (LLM & Multi-Agent Solutions) (Bogotá)
🏢 Endava
📍 Bogotá