Endava Technology

1 month 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: 12 hours agoStatus: Live

Job Summary

Lead design and implementation of production-grade multi-agent (agentic) AI systems in enterprise environments. Architect distributed, LLM-powered workflows with robust guardrails, observability, and memory strategies, collaborating with data and platform teams to integrate AI into core systems.

Location: Rosario

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales 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 and tools, and operational workflows.
•Lead agentic systems from PoC to production with considerations for 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) and collaborate to integrate AI into core systems.

Pay and Benefits

Perks:Health InsuranceLearning BudgetHybrid WorkEmployee Assistance

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.
•Strong understanding of LLM fundamentals, transformer architecture, training paradigms, and context/window considerations.

Experience:AILLMMulti-agentDistributed systemsEnterprise software

Skills:Problem-solvingCommunicationCollaboration

Languages:English

Tech Stack:PythonAWSAzureGCPLangChainSemantic KernelAgent FrameworkAPIsVector embeddingsLLMTransformer

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

1 month 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: 12 hours agoStatus: Live

Job Summary

Location: Rosario

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales 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 and tools, and operational workflows.
•Lead agentic systems from PoC to production with considerations for 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) and collaborate to integrate AI into core systems.

Pay and Benefits

Perks:Health InsuranceLearning BudgetHybrid WorkEmployee Assistance

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.
•Strong understanding of LLM fundamentals, transformer architecture, training paradigms, and context/window considerations.

Experience:AILLMMulti-agentDistributed systemsEnterprise software

Skills:Problem-solvingCommunicationCollaboration

Languages:English

Tech Stack:PythonAWSAzureGCPLangChainSemantic KernelAgent FrameworkAPIsVector embeddingsLLMTransformer

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