Asks for

The ad says“Demonstrable experience and the ability to talk about: predictive and generative AI models, model training, fine-tuning and alignment, MLOps, model evaluation, model serving and MaaS, drift, bias, and explainability, model guardrails, tool usage, agentic harnesses, model metrics and observability.”
The ad says“Demonstrable experience and the ability to talk about: predictive and generative AI models, model training, fine-tuning and alignment, MLOps, model evaluation, model serving and MaaS, drift, bias, and explainability, model guardrails, tool usage, agentic harnesses, model metrics and observability.”
The ad says“Demonstrable experience and the ability to talk about: predictive and generative AI models, model training, fine-tuning and alignment, MLOps, model evaluation, model serving and MaaS, drift, bias, and explainability, model guardrails, tool usage, agentic harnesses, model metrics and observability.”
The ad says“Professional fluency in English is mandatory.”
The ad says“5+ Years of experience in a Solution Architect, Enterprise Architect or related role with a proven background in customer engagement, ideally within a consulting services organisation or a services division of a software vendor.”
The ad says“Demonstrable experience and the ability to talk about: predictive and generative AI models, model training, fine-tuning and alignment, MLOps, model evaluation, model serving and MaaS, drift, bias, and explainability, model guardrails, tool usage, agentic harnesses, model metrics and observability.”
The ad says“Demonstrable experience and the ability to talk about: predictive and generative AI models, model training, fine-tuning and alignment, MLOps, model evaluation, model serving and MaaS, drift, bias, and explainability, model guardrails, tool usage, agentic harnesses, model metrics and observability.”
The ad says“Excellent knowledge of Kubernetes/Openshift and the Kubernetes ecosystem within large-scale production environments.”
The ad says“Demonstrable experience and the ability to talk about: predictive and generative AI models, model training, fine-tuning and alignment, MLOps, model evaluation, model serving and MaaS, drift, bias, and explainability, model guardrails, tool usage, agentic harnesses, model metrics and observability.”
The ad says“Demonstrable experience and the ability to talk about: predictive and generative AI models, model training, fine-tuning and alignment, MLOps, model evaluation, model serving and MaaS, drift, bias, and explainability, model guardrails, tool usage, agentic harnesses, model metrics and observability.”
The ad says“Demonstrable experience and the ability to talk about: predictive and generative AI models, model training, fine-tuning and alignment, MLOps, model evaluation, model serving and MaaS, drift, bias, and explainability, model guardrails, tool usage, agentic harnesses, model metrics and observability.”
The ad says“Demonstrable experience and the ability to talk about: predictive and generative AI models, model training, fine-tuning and alignment, MLOps, model evaluation, model serving and MaaS, drift, bias, and explainability, model guardrails, tool usage, agentic harnesses, model metrics and observability.”
The ad says“Demonstrable experience and the ability to talk about: predictive and generative AI models, model training, fine-tuning and alignment, MLOps, model evaluation, model serving and MaaS, drift, bias, and explainability, model guardrails, tool usage, agentic harnesses, model metrics and observability.”
The ad says“Demonstrable experience and the ability to talk about: predictive and generative AI models, model training, fine-tuning and alignment, MLOps, model evaluation, model serving and MaaS, drift, bias, and explainability, model guardrails, tool usage, agentic harnesses, model metrics and observability.”
The ad says“Excellent knowledge of Kubernetes/Openshift and the Kubernetes ecosystem within large-scale production environments.”
The ad says“Demonstrable experience and the ability to talk about: predictive and generative AI models, model training, fine-tuning and alignment, MLOps, model evaluation, model serving and MaaS, drift, bias, and explainability, model guardrails, tool usage, agentic harnesses, model metrics and observability.”
The ad says“Demonstrated expertise in sales or supporting the sales of professional services, including developing statements of work, pricing and large-scale proposals.”
The ad says“5+ Years of experience in a Solution Architect, Enterprise Architect or related role with a proven background in customer engagement, ideally within a consulting services organisation or a services division of a software vendor.”
The ad says“Demonstrable experience and the ability to talk about: predictive and generative AI models, model training, fine-tuning and alignment, MLOps, model evaluation, model serving and MaaS, drift, bias, and explainability, model guardrails, tool usage, agentic harnesses, model metrics and observability.”

Job Summary
The Red Hat Consulting Services team is looking for a lead AI Architect to help grow the emerging AI tech business in EMEA. In this role, you will help our customers to realise the value of AI and drive adoption of Red Hat AI technology through Red Hat’s AI professional services. You will be working in a small team within the EMEA Solution and Technology Practice (STP) which designs and delivers cutting-edge technology projects for Red Hat’s customers, while supporting our larger regional consulting teams. This role is dual focused on delivery of professional services and on supporting our Go-To-Market motions. You will be interacting with our main customer base in the UK and Ireland (UKI) region on the value of AI and Red Hat’s AI Services.

This role is based in the UK with regular travel to key client locations in and across London and Dublin.

What you will do

Support sales, scoping, and business development for our AI solutions in the UKI region. This involves being able to deliver in-depth technical workshops with customers to elicit use cases, elaborate solution architectures, build work backlogs, and assist the sales teams with the technical contents of consulting statements of work.
Build interpersonal relationships with other Red Hat teams and serve as a trusted advisor to our major UKI customers.
Develop new consulting solutions that address common customer AI use cases. These are reusable packages of technology consulting that can be used to quickly meet customer needs. You can see our current AI consulting solutions here: https://www.redhat.com/en/services/consulting/red-hat-consulting-for-ai In addition to working on the technical development of solutions, the STP team enables the regional consulting teams on their deployment.
Act as lead architect on cutting-edge AI consulting projects for our UKI customers. As a lead architect you will have authority over the design, implementation, and commissioning of complex and novel AI systems.

Note: This role may come into contact with confidential or sensitive customer information requiring special treatment in accordance with Red Hat policies and applicable privacy laws.

What you will bring

5+ Years of experience in a Solution Architect, Enterprise Architect or related role with a proven background in customer engagement, ideally within a consulting services organisation or a services division of a software vendor.
A strong understanding of the value of AI for our customers and the ability to position Red Hat’s AI Services portfolio as a catalyst for corporate strategy.
Demonstrable experience and the ability to talk about: predictive and generative AI models, model training, fine-tuning and alignment, MLOps, model evaluation, model serving and MaaS, drift, bias, and explainability, model guardrails, tool usage, agentic harnesses, model metrics and observability.
Excellent knowledge of Kubernetes/Openshift and the Kubernetes ecosystem within large-scale production environments.
Exceptional communication and "soft skills" with a can-do attitude; the ability to simplify complex concepts and navigate sensitive political environments within global organizations.
Demonstrated expertise in sales or supporting the sales of professional services, including developing statements of work, pricing and large-scale proposals.
A good understanding of the Open Source community. A genuine passion for open source technologies and collaborative development models is a plus.

Professional fluency in English is mandatory.
Willingness and ability to travel within the UKI region.

#LI-ZA1

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

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