Find Staff ai infrastructure / platform Jobs

Staff AI Infrastructure / Platform Engineer (IT)
Analog Devices —Limerick, County Limerick
- Full-time
- Azure
- Computer Science
- Master's degree
13d
Principal Engineer (IT Automation & AI-native Transformation)
SoSafe —Dublin, County Dublin
- Full-time
- Remote
- Microsoft Excel
- Leadership
- Communication skills
- Referral programme
Principal Engineer for IT Automation & AI transformation (Remote)
SoSafe —Dublin, County Dublin
- Full-time
- Remote
- Microsoft Excel
- Leadership
- Communication skills
- Referral programme
Staff Backend Engineer - Accounting - 100% Remote - EMEA
Hostaway —Dublin, County Dublin
- Full-time
- Remote
- System design
- AWS
- Bachelor's degree
- Annual leave
- Work from home
Quick apply
Staff Forward Deployed Engineer, Google Cloud Consulting (Multiple Languages)
Google —Dublin, County Dublin
- €150,000–€154,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
5d
Staff Platform Engineer - Core Platform- UK & Ireland
Fanatics Betting & Gaming —Remote
- €111,100–€151,200 a year
- Full-time
- Remote
- DevOps
- Java
- AWS
Quick apply
14d
Staff Engineer, Embedded AI Software Engineer
Analog Devices —Cork, County Cork
- Full-time
- C++
- Software development
- Linux
Staff Software Engineer, Platform Engineering
CommandLink —Remote
- Full-time
- Remote
- Azure
- Master's degree
- AWS
- Referral programme
Quick apply
Staff AI Designer
Intercom —Dublin, County Dublin
- Hybrid work
- Annual leave
- Work from home
Head of AI & Digital Transformation
MKO —NUIG, County Galway
- Computer Science
- Master's degree
- JavaScript
Quick apply
Senior Manager of Security Engineering - AI/ML
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- DevOps
- Engineering
- AWS
14d
Staff Engineer, DevOps
LearnUpon —Dublin, County Dublin
- System design
- AWS
- Mentoring
- Annual leave
Community & Events Coordinator (Remote)
Percona —Dublin, County Dublin
- Full-time
- Remote
- Social media management
- JavaScript
- Communication skills
- Annual leave
AI Operations Security Engineer
Cisco Systems —Galway, County Galway
- Full-time
- Doctoral degree
- Master's degree
- Bachelor's degree
Staff Backend Engineer
LendWell —Dublin, County Dublin
- €60,000–€130,000 a year
- Full-time
- Hybrid work
- Master's degree
- SQL
- No degree
Quick apply
6d
Senior Staff Embedded Software Engineer – AI Accelerator
Qualcomm —Cork, County Cork
- Doctoral degree
- Computer Science
- Engineering
- Employee stock purchase plan
ICT & Digital Services Manager
Cheeverstown House —County Dublin
- €61,219–€79,583 a year
- Full-time
- Computer Science
- Presentation skills
- Contracts
- Annual leave
Quick apply
Staff Software Engineer - Edge
Zendesk —Remote
- Full-time
- Remote
- DevOps
- AWS
- No degree
Staff Digital Verification Engineer
onsemi —Cork, County Cork
- Full-time
- Research
- Master's degree
- Analysis skills
Staff Engineer, Site Reliability
LearnUpon —Dublin, County Dublin
- On call
- AWS
- AI
- Annual leave

I want to receive the latest job alerts for staff ai infrastructure / platform

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

staff ai infrastructure / platform jobs near

Designer jobs in Dublin, County Dublin

Back End Developer jobs in Dublin, County Dublin

Site Reliability Engineer jobs in Dublin, County Dublin

Event Coordinator jobs in Dublin, County Dublin

Verification Engineer jobs in Cork, County Cork

Principal Software Engineer jobs in Dublin, County Dublin

Platform Engineer jobs in Remote

Staff Engineer jobs in Dublin, County Dublin

Kitchen Designer jobs in Celbridge, County Kildare

Content Designer jobs in Dublin, County Dublin

Ux Ui Designer Part Time jobs in Dublin, County Dublin

Presentation Designer jobs in Dublin, County Dublin

Systems Engineer jobs in Dublin, County Dublin

Concert Staff jobs in Dublin, County Dublin

Staff Software Engineer jobs in County Dublin

Engineer jobs in Shannon, County Clare

Bar Staff For Events jobs in Dublin, County Dublin

Ai Developer jobs in Dublin, County Dublin

Back End Developer jobs in Remote

Developer Support Engineer jobs in Dublin, County Dublin

Staff AI Infrastructure / Platform Engineer (IT)

Analog Devices -
Limerick, County Limerick

Apply Now

Job details

Full-time
13 days ago

Qualifications

CI/CD
Data modelling
Azure
Law
Computer Science
Kubernetes
Git
Google Cloud Platform
Master's degree
AWS
Docker
Bachelor's degree
Distributed systems
Terraform
GitHub
AI
GitLab
Communication skills
Python

Full job description

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X .

Staff AI Platform Engineer

About the Role

We're building a new AI Platform team, and we're looking for a mid-to-senior engineer to help shape it. This team is the backbone that lets the rest of the company build with AI safely, reliably, and cost-effectively. We own the MLOps and LLMOps tooling, and we're the bridge to the cloud model providers we depend on (AWS Bedrock, Google Vertex AI, and others).

You'll work alongside senior engineers who set the architectural direction, and you'll be trusted to own significant pieces of the platform yourself building the reusable components, APIs, and integration patterns that accelerate AI adoption across the enterprise. This is a hands-on platform and operations role, not a research or model-training role: your job is to make it easy, reliable, and cost-effective for other teams to build with AI.

This is a great role for a strong platform or backend engineer who is cloud-comfortable, thinks about reliability and cost, and is genuinely curious about the fast-moving AI space.

What You'll Do

Build and operate the platform and tooling our teams use to develop, deploy, and monitor AI-powered applications.

Create platform enablers — reusable components, APIs, and integration patterns — that make it faster and safer for teams to adopt AI.

Own our integrations with cloud model providers (AWS Bedrock, Google Vertex AI), including usage, cost, and reliability.

Be a key point of contact for internal users bringing us AI use cases — understand what they're asking for, ask the right questions, and route them to the right approach.

Drive observability: make sure we can see what our systems are doing, and debug them when they break (logging, metrics, tracing).

Contribute to and uphold AI engineering standards — security, compliance, cost, and governance — across our multi-cloud environment.

Grow into deeper MLOps / LLMOps ownership over time, and help level up the practices of the team as it matures.

Must-Have Skills

Solid software engineering fundamentals with strong, working Python — you write clean, maintainable code, use Git, and are comfortable automating tasks.

Hands-on experience with at least one major cloud provider (AWS is a plus given our stack, but strong GCP/Azure experience is welcome — good engineers pick up a second cloud quickly).

Working knowledge of cloud fundamentals: IAM/permissions, networking basics, and a healthy awareness of cost (GPU instances and model API calls add up fast).

Docker and comfort working with containerized applications.

A strong operations and reliability mindset — you care about monitoring, reproducibility, logging, metrics, and tracing.

Experience building or operating platforms, internal tooling, or services that other engineers depend on.

Strong communication and a service mindset. A platform team exists to support other engineers, so being approachable and asking good questions matters as much as technical skill.

A demonstrated ability to learn fast. This field reinvents its tooling constantly; curiosity beats a fixed checklist of tools.

Foundational Knowledge

You won't be building these from scratch but you should understand them well enough to have an intelligent conversation and point people in the right direction:

The LLM landscape: what it means to call a hosted model via a gateway like Bedrock or Vertex AI, and the basics of tokens, cost, latency, and context limits.

RAG (retrieval-augmented generation): what it is and why someone would use it to ground a model in their own data. You'll recognize when a user is describing one.

Fine-tuning: understanding that it's a training process that needs GPU compute (e.g., AWS EC2 GPU instances), and that it's a heavier lift than prompting or RAG. The key skill is recognizing what a user's request implies for resources and cost.

Agentic AI: a working understanding of reasoning, planning, and autonomous workflows, and the orchestration frameworks (e.g., LangChain ) that support them.

Nice to Have

Exposure to CI/CD (GitHub Actions, GitLab CI, or similar).

Exposure to Infrastructure as Code (Terraform, Pulumi , CloudFormation).

Kubernetes, or a strong desire to learn it.

Familiarity with the broader model provider ecosystem (OpenAI, Anthropic, Hugging Face, etc.).

Hands-on exposure to ML/LLM tooling or agentic systems — a genuine bonus, not an expectation.

A background in distributed systems, scalability, or performance optimization for demanding workloads.

Preferred Education and Experience

Bachelor's or Master's degree in Computer Science , Artificial Intelligence, Machine Learning, Data Science, or a related technical field (or equivalent practical experience).

4-6 years of platform engineering experience , ideally including cloud-native infrastructure, backend services, or internal developer platforms.

Experience delivering and operating production systems in cloud environments, with an eye to security and reliability.

Exposure to the AI/ML or MLOps / LLMOps space is a strong plus, but we're happy to teach the depth to a strong platform engineer who's eager to grow into it.

Why You'll Love Working at ADI

At Analog Devices, you'll be part of a collaborative and innovative team that's shaping the future of technology. We offer a supportive environment focused on professional growth, competitive compensation and benefits, work-life balance, and the opportunity to work on cutting-edge projects that make a real impact on the world.

You'll have access to continuous learning opportunities and mentorship from industry experts. Join us and help create the technologies that bridge the physical and digital worlds, making a tangible difference in how people live, work, and connect.

#LI-BF1

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days

Apply Now

Refine Your Search

staff ai infrastructure / platform jobs

Staff AI Infrastructure / Platform Engineer (IT)

Principal Engineer (IT Automation & AI-native Transformation)

Principal Engineer for IT Automation & AI transformation (Remote)

Staff Backend Engineer - Accounting - 100% Remote - EMEA

Staff Forward Deployed Engineer, Google Cloud Consulting (Multiple Languages)

Staff Platform Engineer - Core Platform- UK & Ireland

Staff Engineer, Embedded AI Software Engineer

Staff Software Engineer, Platform Engineering

Staff AI Designer

Head of AI & Digital Transformation

Senior Manager of Security Engineering - AI/ML

Staff Engineer, DevOps

Community & Events Coordinator (Remote)

AI Operations Security Engineer

Staff Backend Engineer

Senior Staff Embedded Software Engineer – AI Accelerator

ICT & Digital Services Manager

Staff Software Engineer - Edge

Staff Digital Verification Engineer

Staff Engineer, Site Reliability

I want to receive the latest job alerts for staff ai infrastructure / platform

Related Searches

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected