Time since we first saw it
Day 2
Early. Similar jobs usually come down between day 7 and day 53.
From 7,804 similar postings that came down. Coming down is not always a hire.
Work setup in the employer’s posting: TELECOMMUTEFrom the employer’s posting
Design architecture for publishing data within the data mesh
Implement ML-based services on AWS SageMaker with AI, data and platform teams
Design and build infrastructure for AI experimentation and deployment
Assess current AI pipelines and their integration with other services
Analyze the AWS account configuration used by data scientists and MLEs
Create an architecture for utilizing and publishing data within the data mesh
Collaborate with the AI labs, data, infrastructure and platform teams to implement ML-based services using AWS SageMaker
Design and build infrastructure to facilitate the experimentation and deployment of AI systems
Assess current AI pipelines and their integration with other services
Analyze the existing AWS account configuration for data scientists and MLEs
Hands-on production experience as a Data Architect with a production background in design or development
Expertise with building enterprise scale ML and LLM solutions
Industry knowledge in AWS ML services, including AWS SageMaker
High proficiency with Docker, IaC (Terraform) and CI/CD (Atlassian Bamboo)
Skills in AWS administration and permission management
We are seeking an innovative Data Solution Architect/AI Architect to join our expanding team. In this role, you'll play a vital part in crafting solutions that meet diverse requirements and needs. Collaborating closely with teams of data scientists and machine learning engineers, you'll be at the centre of driving innovation. Your expertise will be instrumental in enhancing the design of AI systems, spanning classical ML and LLMs, on the AWS platform. You'll contribute to the development of new solutions, including data enrichment pipelines and robust building blocks for training, evaluating, and deploying large language models. Join us on this exciting journey! Responsibilities Create an architecture for utilizing and publishing data within the data mesh Develop a strategy to identify the specific machine learning tools, models and training sets to construct Collaborate with the AI labs, data, infrastructure and platform teams to implement ML-based services using AWS SageMaker Analyze the existing AWS account configuration for data scientists and MLEs, working closely with StSt MLE and DevOps experts Assess current AI pipelines and their integration with other services Design and build infrastructure to facilitate the experimentation and deployment of AI systems Cooperate with the AI Labs team to enhance current ML workflows and software development standards Requirements Hands-on production experience as a Data Architect with a production background in design or development Industry knowledge in AWS ML services, including AWS SageMaker Qualifications in DevOps, Cloud Operations and ML engineering Skills in AWS administration and permission management Expertise with building enterprise scale ML and LLM solutions High proficiency with Docker, IaC (Terraform) and CI/CD (Atlassian Bamboo) Ability to build and use model management tools such as MLflow Understanding of MLOps B2+ English level, both written and spoken Nice to have Competency in setting up and managing vector databases Showcase of deploying LLMs at scale Familiarity with Kafka Technologies AWS (Amazon Web Services) Artificial intelligence ML Architecture
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 2
Early. Similar jobs usually come down between day 7 and day 53.
From 7,804 similar postings that came down. Coming down is not always a hire.
656 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordCheck the employer’s posting for the current role and application details.
Already applied? Track this application
Yes. We’ve followed one other Data Solution Architect / AI Architect job there since November 2026. It is still up.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Latvia
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting