Agentic AI architectures jobs

AI Lead

AXA · Posted Nov 10, 2026

Open

London, England, United Kingdom
Hybrid
Contract

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AI Lead

AXA · Posted Nov 10, 2026

Open

London, England, United Kingdom
Hybrid
Contract

Apply with Referso

Industry Principal, Artificial Intelligence

Palo Alto Networks · Posted Nov 5, 2026

Open

Singapore, Singapore
Principal
15+ years

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Lead technical authority on securing agentic systems and large-scale model ecosystems across JAPAC, driving AI security strategy and industry presence.

Responsibilities

Lead technical engagements with mature AI adopters
Design secure frameworks for autonomous AI agents
Translate customer outcomes into technical requirements
Represent team at regional forums
Provide field feedback to global engineering

Requirements

Bachelor’s or Masters degree in Computer Science, Data Science, Engineering, or related discipline

Skills

Data science Machine learning Large language models Agentic AI architectures Platform architecture Technical leadership Enterprise engineering Security principles

Agentic AI Principal

Referrals Only · Posted Oct 19, 2026

Open

London, London, United Kingdom +1 more
Hybrid
Full-time · Principal

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The Agentic AI Principal acts as a senior technical authority and trusted client advisor for complex agentic AI transformation in the UK and Ireland. The role shapes enterprise AI strategy, defines agentic architecture blueprints, and leads C-suite engagements.

Locations (2)

London, London, United Kingdom
Ireland

Responsibilities

Shape and solution complex UKI pursuits, translating client needs into differentiated propositions and credible architectures.
Set architecture direction for complex, production-grade agentic AI systems, including multi-agent workflows, orchestration, tool use, and memory.
Establish reusable patterns for observability, auditability, traceability and control of agentic systems.
Set reusable architecture patterns, engineering standards, and governance practices across multiple teams.
Design solutions appropriate for regulated UK environments like financial services and telecommunications.

Skills

Python

Senior Principal Services Architect, AI & Agentic Solutions (Google Cloud)

Ingram Micro · Posted Nov 5, 2026

Open

Irvine, California, United States
Senior
$159K–$270K per year
10+ years

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Senior Principal Services Architect, AI & Agentic Solutions (Google Cloud)

Compensation

The typical base pay range for this role across the U.S. is USD $158,900.00 - $270,100.00 per year.

Responsibilities

Run the Center of Excellence engagement model
Lead customer-zero and lighthouse engagements
Lead solution architecture and key technical decisions
Define templates, components, tooling and build patterns
Build production agents on the Google Cloud frontier stack

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
Nice to have: Google Cloud Certified Professional Cloud Architect
Nice to have: Google Cloud Professional Machine Learning Engineer certification
Nice to have: Experience with enterprise AI governance and Responsible AI practices
Nice to have: Experience building multi-agent systems and AI copilots

Skills

Google Cloud Platform (GCP)Vertex AI Gemini Generative AI and Large Language Models (LLMs)

Head of AI & Intelligent Automation

Zurich Insurance Company Ltd. · Posted Nov 4, 2026

Open

Lisbon, Lisbon, Portugal
Hybrid
Full-time · Executive
10+ years

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Lead the strategy, adoption, and scalability of Artificial Intelligence across the organization, driving AI adoption, identifying high-impact use cases, and building internal AI engineering capabilities.

Responsibilities

Define and execute the local AI strategy aligned with Group vision and priorities.
Identify, prioritize, and implement AI use cases with measurable business impact.
Build and lead an internal AI Engineering and AI Product Management team.
Drive widespread AI adoption across business and technology functions.
Lead the design and development of Generative AI and Agentic AI solutions integrated into business processes and enterprise applications.

Requirements

Bachelor's degree in Computer Science
Master's degree in Computer Science
Bachelor's degree in Data Science
Master's degree in Data Science
Bachelor's degree in Artificial Intelligence

Skills

Large Language Models (LLMs)Model Context Protocol (MCP)Agent-to-Agent (A2A) communication Tool Calling

AI Lead

AI Lead

Responsibilities

Skills

Industry Principal, Artificial Intelligence

Responsibilities

Requirements

Skills

Agentic AI Principal

Locations (2)

Responsibilities

Skills

Senior Principal Services Architect, AI & Agentic Solutions (Google Cloud)

Compensation

Responsibilities

Requirements

Skills

Head of AI & Intelligent Automation

Responsibilities

Requirements

Skills

Benefits

Benefits

Benefits