3 days ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Design and lead the implementation of production-grade agentic (multi-agent) AI systems for enterprise environments. Architect multi-agent workflows and orchestration patterns, define how LLM agents interact with enterprise data platforms, APIs/tools, and operational processes, and take systems from PoC to production with security, privacy, cost, and responsible AI guardrails. Build observability and feedback loops, define memory strategies, and collaborate with data, platform, and engineering teams while guiding them with scalable best practices.

Location: Monterrey

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design multi-agent architectures (task decomposition, orchestration, coordination patterns).
•Define how LLM-powered agents interact with enterprise data platforms, APIs/tools, and 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.
•Collaborate with data, platform, and engineering teams to integrate AI into core systems and guide teams on scalable, reliable best practices.

Pay and Benefits

Perks:Share PlanAnnual BonusHybrid Work

Key Requirements

•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.
•Experience with multi-agent frameworks (e.g., LangChain, Semantic Kernel, Agent Framework, CrewAI) and agent lifecycle platforms (e.g., Amazon Bedrock, Google Vertex AI, Azure AI Foundry).

Experience:Enterprise systemsAI/ML

Skills:Architecture mindsetReasoningCollaborationTeachingHands-on problem solving

Languages:English

Tech Stack:LLMMulti-agent systemsAgentic systemsLangChainSemantic KernelAgent FrameworkCrewAIAmazon BedrockAWSGoogle Vertex AIGCPAzure AI FoundryMCPUCPA2AAP2RAGRetrieval optimizationRetrieval qualityTransformer architecture

Company Brief

Endava Technology

Provides IT services and digital engineering, delivering software development, automation, and consulting to enterprises across financial services, payments, telecommunications, and retail to accelerate digital transformation.

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 2000

Website LinkedIn

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Endava Technology

3 days ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: Monterrey

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design multi-agent architectures (task decomposition, orchestration, coordination patterns).
•Define how LLM-powered agents interact with enterprise data platforms, APIs/tools, and 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.
•Collaborate with data, platform, and engineering teams to integrate AI into core systems and guide teams on scalable, reliable best practices.

Pay and Benefits

Perks:Share PlanAnnual BonusHybrid Work

Key Requirements

•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.
•Experience with multi-agent frameworks (e.g., LangChain, Semantic Kernel, Agent Framework, CrewAI) and agent lifecycle platforms (e.g., Amazon Bedrock, Google Vertex AI, Azure AI Foundry).

Experience:Enterprise systemsAI/ML

Skills:Architecture mindsetReasoningCollaborationTeachingHands-on problem solving

Languages:English

Company Brief

Endava Technology

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 2000

Website LinkedIn