Software architect Work, Jobs in Tanfield, Dur (with Salaries)

AI Software Engineering Associate Director
Accenture —Newcastle upon Tyne
- Full-time
- Java
- Master's degree
- APIs
2d
Front-End Developer (SC Cleared)
Scrumconnect Consulting —Newcastle upon Tyne
- £60,000 - £70,000 a year
- JavaScript
- Mentoring
- Agile
AI Software Engineering Manager
Accenture —Newcastle upon Tyne
- Full-time
- Java
- Master's degree
- APIs
2d
AWS Architect
Version 1 —Newcastle upon Tyne
- Full-time
- Hybrid work
- DevOps
- Java
- AWS
- Employee assistance programme
- Employee discount
Quick apply
Senior Fullstack Developer
Version 1 —Newcastle upon Tyne
- Full-time
- AWS
- JavaScript
- APIs
- Employee assistance programme
- Employee discount
Quick apply
AI Transformation Architect
hedgehog lab —Newcastle upon Tyne
- Full-time
- Hybrid work
- AWS
- JavaScript
- APIs
- Annual leave
Quick apply
Business Development Lead – Technology & Support
Waterstons —Durham
- £60,000 - £85,000 a year
- Hybrid work
- Business development
- Leadership
- Communication skills
- Employee assistance programme
- Sick pay
AI Engineer
Version 1 —Newcastle upon Tyne
- Full-time
- Hybrid work
- Azure
- DevOps
- Master's degree
- Employee assistance programme
- Employee discount
Quick apply
Senior Business Analyst - Newcastle
Accenture —Newcastle upon Tyne
- Full-time
- Hybrid work
- Azure
- Salesforce
- AWS
Senior Salesforce Architect
Ocado Retail —Sunderland
- Full-time
- Hybrid work
- Salesforce
- Software development
- AI
- Annual leave
Lead Platform Developer (C#)
tombola —Sunderland
- Hybrid work
- Management
- SQL
- AWS
Quick apply
Technical Lead
Version 1 —Newcastle upon Tyne
- Full-time
- Azure
- DevOps
- AWS
- Employee assistance programme
- Employee discount
Quick apply
Senior Project Manager - Construction
Turner & Townsend —Newcastle upon Tyne
- Full-time
- PMP
- Engineering
- Analysis skills
Quick apply
Security Firmware/FPGA Engineer
Leonardo UK Ltd —Newcastle upon Tyne
- £37,400 - £84,995 a year
- Full-time
- Hybrid work
- Scripting
- Python
- Flexible schedule
- Referral programme
Blast Technical Lead
AECOM —Newcastle upon Tyne
- Full-time
- Hybrid work
- AutoCAD
- Analysis skills
- Project management
Lead Platform Engineer
Everflow —Peterlee
- £71,493.00 - £80,998.54 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- AWS
- Free parking
- Annual leave
9d
Head of NBS Specifier Business Development
Hubexo —Newcastle upon Tyne
- Full-time
- Hybrid work
- Sales
- Construction experience
- Leadership
Quick apply
Senior Business Development Lead
Leighton —Newcastle upon Tyne
- Full-time
- Hybrid work
- Travel
- Agile
- Annual leave
Quick apply
Principal Software Engineer Backend Technologies, Platform (UK Remote)
Turnitin, LLC —Newcastle upon Tyne
- Full-time
- Remote
- DevOps
- System design
- Java
- Annual leave
Quick apply
Principal Architect
Renaissance Learning EMEA APAC —Durham
- Hybrid work
- Travel
- APIs
- School
- Employee assistance programme
- Employee discount
Quick apply

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AI Software Engineering Associate Director

Accenture -
Newcastle upon Tyne

Apply Now

Job details

Full-time
2 days ago

Qualifications

Law
Kubernetes
Java
Master's degree
Docker
Terraform
APIs
AI
Python
Debugging

Full job description

You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it.

As an AI Engineer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements.

This sits at the heart of the AI engineering talent market — demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams and a direct pathway to the Forward Deployed Engineer programme.

Key Responsibilities

Architect and govern production-grade agentic systems at enterprise scale: multi-agent orchestration across complex environments, RAG pipelines, policy-based routing, memory management, and programme-level lifecycle observability
Define RAG pipeline standards across engagements: establish chunking and embedding strategies, set quality benchmarks, and ensure metric-backed tradeoff decisions are documented and transferable
Set multi-LLM integration standards: vendor-agnostic architecture by default, fallback routing and cost governance as standard design practice across providers including OpenAI, Anthropic, Vertex AI, and open-source models
Own LLMOps at programme scale: eval strategy, prompt governance, observability tooling standards, safety monitoring and cost controls across multiple concurrent systems
Lead client engineering engagements at senior level — facilitate architecture design sessions, lead proof-of-concept delivery, and drive alignment between client technology leadership and delivery teams
Shape and publish reusable patterns, accelerators, and engineering standards that scale across the practice and reduce ramp-up time on new client engagements
Own the measurement framework for agentic system quality: define accuracy, latency, safety, and cost metrics; present programme-level AI impact in business terms to senior client stakeholders

Software engineering experience in production environments
Hands-on experience designing and deploying agentic AI solutions in a production environment — non-negotiable
Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level
Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs
RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering
LLMOps fundamentals: eval harness design, prompt versioning, and production observability
Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm)
Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience
Quality of experience is weighted over years, a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure
People lead responsibilities: experience managing, developing, and performance-managing a team of engineers; setting individual development plans and conducting career conversations

#LI-EU

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Refine Your Search

software architect jobs in tanfield, dur

AI Software Engineering Associate Director

Front-End Developer (SC Cleared)

AI Software Engineering Manager

AWS Architect

Senior Fullstack Developer

AI Transformation Architect

Business Development Lead – Technology & Support

AI Engineer

Senior Business Analyst - Newcastle

Senior Salesforce Architect

Lead Platform Developer (C#)

Technical Lead

Senior Project Manager - Construction

Security Firmware/FPGA Engineer

Blast Technical Lead

Lead Platform Engineer

Head of NBS Specifier Business Development

Senior Business Development Lead

Principal Software Engineer Backend Technologies, Platform (UK Remote)

Principal Architect

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