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

Design and lead production-grade multi-agent AI systems in enterprise environments, focusing on agent orchestration, LLM-enabled workflows, and integration with data platforms. Drive from PoC to production with governance on cost, security, privacy, and responsible AI, while establishing observability and memory strategies across distributed systems.

Location: Cali

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 support 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) and collaborate with data, platform, and engineering teams to integrate AI into core systems.

Pay and Benefits

Perks:Hybrid WorkHealth InsuranceRemote 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.
•Strong understanding of LLM fundamentals, not just usage.

Experience:AIMLDistributed systems

Skills:Problem-solvingCommunicationCollaborationLeadershipAnalytical thinking

Languages:English

Tech Stack:PythonAWSAzureGCPLangChainSemantic KernelAgent FrameworkBedrockVertex AIAzure AI FoundryAPIs

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

Loading job details...

Preparing the role view and application actions.

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: Cali

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 support 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) and collaborate with data, platform, and engineering teams to integrate AI into core systems.

Pay and Benefits

Perks:Hybrid WorkHealth InsuranceRemote 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.
•Strong understanding of LLM fundamentals, not just usage.

Experience:AIMLDistributed systems

Skills:Problem-solvingCommunicationCollaborationLeadershipAnalytical thinking

Languages:English

Tech Stack:PythonAWSAzureGCPLangChainSemantic KernelAgent FrameworkBedrockVertex AIAzure AI FoundryAPIs

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