Ai software engineering manager Work, Jobs in Wensleydale, Nyk (with Salaries)

AI Software Engineering Manager
Accenture —Newcastle upon Tyne
- Full-time
- Master's degree
- Team management
- APIs
Head of Engineering SRPS
Dräger UK & Ireland —Blyth
- Hybrid work
- Engineering
- Master's degree
- Bachelor's degree
Requirements Engineer
Dräger UK & Ireland —Blyth
- Hybrid work
- Engineering
- Analysis skills
- Continuous improvement
Principal Software Engineer Backend Technologies, Platform (UK Remote)
Turnitin, LLC —Newcastle upon Tyne
- Full-time
- Remote
- Mentoring
- AI
- Annual leave
Quick apply
Senior Applied AI Engineer – Prompting & Evaluation
KERRIDGE COMMERCIAL SYSTEMS CORP —Newcastle upon Tyne
- Full-time
- Master's degree
- Travel
- Mentoring
Quick apply
AI Software Engineer
KERRIDGE COMMERCIAL SYSTEMS CORP —Newcastle upon Tyne
- Full-time
- Master's degree
- Software development
- In-person
Quick apply
Software Engineering Manager
MHR INTERNATIONAL UK LIMITED —Newcastle upon Tyne
- Team management
- Mentoring
- Recruiting
- Employee discount
- Referral programme
Applied AI Engineer (.NET/C#)
KERRIDGE COMMERCIAL SYSTEMS CORP —Newcastle upon Tyne
- Full-time
- Master's degree
- Software development
- In-person
Quick apply
Senior Salesforce Architect
Ocado Retail —Sunderland
- Full-time
- Hybrid work
- Salesforce
- AI
- Leadership
- Annual leave
Product Marketing Manager, Trust, Privacy and AI (UK Remote)
Turnitin, LLC —Newcastle upon Tyne
- Full-time
- Remote
- Product management
- AI
- Communication skills
- Annual leave
Quick apply
10d
Product Manager, Digital and Real Time Tax Reporting
Sage —Newcastle upon Tyne
- Hybrid work
- Spanish
- Product management
- APIs
14d
Lead Software Engineer
Newcastle University —Newcastle upon Tyne
- £36,636 - £46,049 a year
- Full-time
- Computer Science
- University
- Bachelor's degree
13d
Quality Engineer
Xplor —Newcastle upon Tyne
- Full-time
- Remote
- Computer Science
- Engineering
- English
Quick apply
Product Manager, Regulatory Reporting & Filing
Sage —Newcastle upon Tyne
- Hybrid work
- Spanish
- Analysis skills
- Product management
14d

Other jobs to consider

Find your next job by exploring related positions.

Full Stack Software Developer (.NET, Angular)
Baker Hughes —Cramlington
We collaborate with system engineers, product owners, subject matter experts to create unique products. You will participate in the Baker Hughes Software…
Junior AI Software Engineer
Accenture —Newcastle upon Tyne
We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity —…

I want to receive the latest job alerts for ai software engineering manager in wensleydale, nyk

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

ai software engineering manager jobs near wensleydale, nyk

Software Engineer jobs in Newcastle Upon Tyne

Software Engineering Manager jobs in Newcastle Upon Tyne

Ai Developer jobs in Newcastle Upon Tyne

Product Manager jobs in Newcastle Upon Tyne

Quality Engineer jobs in Newcastle Upon Tyne

Software Engineer jobs in West Yorkshire

Network Engineer jobs in Birmingham

Software Engineer jobs in Gloucester

Software Engineer jobs in Walsall

Software Engineer jobs in Camberley

Junior Ai Engineer jobs in London

Ai Prompt Consultant jobs in London

Ai Training No Experience jobs in Remote

Healthcare Ai Specialist jobs in London

All Visa Sponsorship It Project Manager jobs in London

Project Manager jobs in Reading

Software Engineering Manager jobs in Manchester

Hr Manager jobs in Greater Manchester

Software Engineering Manager jobs in Nottingham

Software Engineering Manager jobs in Claughton Ch43

AI Software Engineering Manager

Accenture -
Newcastle upon Tyne

Apply Now

Job details

Full-time

Qualifications

CI/CD
Law
Client engagement
Cost control
Master's degree
CI/CD pipelines
Team management
Terraform
Back-end development
APIs
Solution architecture
AI
Software development or architecture experience
Infrastructure provisioning automation
Terraform provisioning
Debugging
SDLC

Full job description

You build the solutions 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 solution in production, you have owned the evaluation 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 solutions 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 to maximise efficiencies across the software delivery lifecycle (SDLC).

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 solutions 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: evaluation strategy, prompt governance, observability tooling standards, safety monitoring and cost controls across multiple concurrent systems
Lead client engineering engagements at senior level — analyse the SDLC to identify AI/agentic opportunities and use cases, 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

Extensive 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

Apply Now

Refine Your Search

ai software engineering manager jobs in wensleydale, nyk

AI Software Engineering Manager

Head of Engineering SRPS

Requirements Engineer

Principal Software Engineer Backend Technologies, Platform (UK Remote)

Senior Applied AI Engineer – Prompting & Evaluation

AI Software Engineer

Software Engineering Manager

Applied AI Engineer (.NET/C#)

Senior Salesforce Architect

Product Marketing Manager, Trust, Privacy and AI (UK Remote)

Product Manager, Digital and Real Time Tax Reporting

Lead Software Engineer

Quality Engineer

Product Manager, Regulatory Reporting & Filing

Other jobs to consider

I want to receive the latest job alerts for ai software engineering manager in wensleydale, nyk

Explore jobs in more locations

Key Responsibilities

Jobseeker tools

Employer Tools

Browse

Stay Connected