AI & Data Product Owner
About WeBuild-AI:
WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed.
Our Purpose:
We believe that AI's true potential is unlocked only when it's precisely aligned with business objectives and user needs. Our mission is to bridge the gap between technical possibility and business value, creating AI solutions that transform organisations at their core. We're looking for visionaries who can see beyond the technology to the human and business impact it can create.
Role Overview:
As a Data & AI Product Owner at WeBuild-AI, you will bridge the gap between technical implementation and business value. You'll work closely with clients to understand their needs and translate them into actionable product roadmaps, ensuring our AI solutions deliver meaningful business transformation at speed. You'll be the driving force behind solutions that reimagine what's possible in enterprise environments.
Key Responsibilities:
Define product vision, strategy, and roadmap for data and AI initiatives
Collaborate with clients to understand business objectives and challenges
Translate business requirements into technical specifications
Prioritise features and capabilities based on business impact
Coordinate cross-functional teams to deliver integrated solutions
Manage the product lifecycle from conception to deployment
Measure and communicate the impact of AI solutions
Contribute to the ongoing development of our Pathway platform
Identify opportunities for AI to create breakthrough value
Pioneer new approaches to product development in the AI era
Required Skills & Experience:
Experience in product management or product ownership roles
Understanding of data and AI technologies and their business applications, including AWS services (Bedrock, SageMaker, DataZone) and Azure services (OpenAI, Fabric, Purview)
Familiarity with Python for data analysis and prototyping AI solutions
Familiarity with agile development methodologies
Strong stakeholder management and communication skills
Ability to balance business needs with technical feasibility
Experience with enterprise software or consulting projects
Knowledge of prototyping and collaboration tools (e.g., Visily, Figma and Miro)
Strong problem-solving abilities and creative thinking, with critical thinking credentials to solve complex business challenges across a range of industries.
The Mindset We Value:
Visionary Perspective: We need product owners who can see beyond current limitations to envision what AI could make possible in 3-5 years, while delivering value in the present.
Adaptable Approach: As AI evolves, so must product development methodologies. You should be comfortable adjusting your approach as new capabilities emerge, embracing experimental methods when appropriate.
Empathetic Leadership: You must be able to understand and navigate the human aspects of AI transformation, bringing stakeholders along on the journey and addressing concerns with empathy.
Balanced Ambition: While pushing for transformative outcomes, you must maintain a realistic understanding of what can be achieved within constraints, striking the right balance between ambition and practicality.
Growth Opportunities:
Develop expertise across multiple industries and functional domains
Gain experience with cutting-edge AI capabilities before they reach mainstream adoption
Lead transformative initiatives that redefine how enterprises operate
Contribute to the evolution of product management practices for the AI era
Shape the strategic direction of our Pathway platform
Build a network of senior relationships across global enterprises
AI Engineer
About WeBuild-AI:
WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed.
Our Purpose:
We're on a mission to reinvent what's possible with AI in enterprise environments. Our AI Engineers don't just implement solutions—they discover new patterns of working with AI that revolutionise entire business processes. We believe AI will fundamentally transform how organisations operate, and we're looking for pioneers who want to lead this transformation, working at the absolute cutting edge of what's possible with today's most advanced AI technologies.
Role Overview:
As an AI Engineer at WeBuild-AI, you will design, develop, and deploy innovative AI solutions that transform our clients' businesses. You'll leverage cutting-edge language models, agent frameworks, and our Pathway platform to create high-impact AI applications that deliver 10x value. You'll be given the freedom to experiment and push boundaries, discovering new ways AI can solve complex enterprise challenges.
Key Responsibilities:
Design and develop AI solutions using language models and agent frameworks.
Implement and customise agent frameworks like Autogen and LangGraph.
Integrate AI capabilities with client systems, custom built digital products and data sources.
Collaborate with Data Engineers to ensure optimal data structures for AI applications.
Work directly with clients to understand requirements and deliver transformative solutions.
Support customers with change management, education and awareness to re-skill their workforce to use AI safely and securely.
Contribute to the ongoing development of our Pathway platform.
Pioneer new approaches to AI implementation that haven't been tried before.
Challenge conventional wisdom about what's possible with current AI technologies.
Required Skills & Experience:
Experience with AWS AI services (e.g., AWS Bedrock, SageMaker Studio, Lambda, EKS) and/or Azure AI services (e.g., Azure OpenAI, Azure Cognitive Service, Azure ML).
Experience with designing, building and operating production grade generative AI systems.
Understanding of agent based monitoring systems like Langfuse and Open Telemetry.
Proficiency with agent frameworks (Autogen, LangGraph).
Strong Python programming skills for AI development and integration.
Experience with containerisation (Docker, Kubernetes) for deploying and scaling AI solutions.
Understanding of vector databases and embeddings.
Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput.
Software engineering skills and best practices.
Strong problem-solving abilities and creative thinking, with critical thinking credentials to solve complex business challenges across a range of industries.
The Mindset We Value:
Relentless Innovation:
We're looking for individuals who are constantly exploring the edges of what's possible with AI. You should be the type who stays up late testing new approaches just to see what might work.
Flexible Methodology:
Traditional development approaches don't always apply to AI. We need people who can adapt their working methods to the unique characteristics of AI systems, embracing experimental approaches when appropriate.
"Can Do" Attitude:
When faced with a seemingly impossible challenge, your response should be "let's figure out how" rather than "it can't be done." We value determined problem-solvers who find a way forward.
Balanced Perspective:
While pushing boundaries, you must maintain a grounded understanding of enterprise realities, balancing innovation with practical implementation.
Growth Opportunities:
Develop expertise with emerging AI models and capabilities before they reach mainstream adoption.
Create intellectual property and novel implementation approaches.
Work across multiple industries to develop deep domain expertise.
Contribute to the evolution of our proprietary AI methodology.
Participate in the AI research community and establish thought leadership.
Shape new AI services and capabilities within our Pathway platform.
AI Engineer
About WeBuild-AI:
WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed.
Our Purpose:
We're on a mission to reinvent what's possible with AI in enterprise environments. Our AI Engineers don't just implement solutions—they discover new patterns of working with AI that revolutionise entire business processes. We believe AI will fundamentally transform how organisations operate, and we're looking for pioneers who want to lead this transformation, working at the absolute cutting edge of what's possible with today's most advanced AI technologies.
Role Overview:
As an AI Engineer at WeBuild-AI, you will design, develop, and deploy innovative AI solutions that transform our clients' businesses. You'll leverage cutting-edge language models, agent frameworks, and our Pathway platform to create high-impact AI applications that deliver 10x value. You'll be given the freedom to experiment and push boundaries, discovering new ways AI can solve complex enterprise challenges.
Key Responsibilities:
Design and develop AI solutions using language models and agent frameworks.
Implement and customise agent frameworks like Autogen and LangGraph.
Integrate AI capabilities with client systems, custom built digital products and data sources.
Collaborate with Data Engineers to ensure optimal data structures for AI applications.
Work directly with clients to understand requirements and deliver transformative solutions.
Support customers with change management, education and awareness to re-skill their workforce to use AI safely and securely.
Contribute to the ongoing development of our Pathway platform.
Pioneer new approaches to AI implementation that haven't been tried before.
Challenge conventional wisdom about what's possible with current AI technologies.
Required Skills & Experience:
Experience with AWS AI services (e.g., AWS Bedrock, SageMaker Studio, Lambda, EKS) and/or Azure AI services (e.g., Azure OpenAI, Azure Cognitive Service, Azure ML).
Experience with designing, building and operating production grade generative AI systems.
Understanding of agent based monitoring systems like Langfuse and Open Telemetry.
Proficiency with agent frameworks (Autogen, LangGraph).
Strong Python programming skills for AI development and integration.
Experience with containerisation (Docker, Kubernetes) for deploying and scaling AI solutions.
Understanding of vector databases and embeddings.
Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput.
Software engineering skills and best practices.
Strong problem-solving abilities and creative thinking, with critical thinking credentials to solve complex business challenges across a range of industries.
The Mindset We Value:
Relentless Innovation:
We're looking for individuals who are constantly exploring the edges of what's possible with AI. You should be the type who stays up late testing new approaches just to see what might work.
Flexible Methodology:
Traditional development approaches don't always apply to AI. We need people who can adapt their working methods to the unique characteristics of AI systems, embracing experimental approaches when appropriate.
"Can Do" Attitude:
When faced with a seemingly impossible challenge, your response should be "let's figure out how" rather than "it can't be done." We value determined problem-solvers who find a way forward.
Balanced Perspective:
While pushing boundaries, you must maintain a grounded understanding of enterprise realities, balancing innovation with practical implementation.
Growth Opportunities:
Develop expertise with emerging AI models and capabilities before they reach mainstream adoption.
Create intellectual property and novel implementation approaches.
Work across multiple industries to develop deep domain expertise.
Contribute to the evolution of our proprietary AI methodology.
Participate in the AI research community and establish thought leadership.
Shape new AI services and capabilities within our Pathway platform.
AI Engineer
About WeBuild-AI:
WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed.
Our Purpose:
We're on a mission to reinvent what's possible with AI in enterprise environments. Our AI Engineers don't just implement solutions—they discover new patterns of working with AI that revolutionise entire business processes. We believe AI will fundamentally transform how organisations operate, and we're looking for pioneers who want to lead this transformation, working at the absolute cutting edge of what's possible with today's most advanced AI technologies.
Role Overview:
As an AI Engineer at WeBuild-AI, you will design, develop, and deploy innovative AI solutions that transform our clients' businesses. You'll leverage cutting-edge language models, agent frameworks, and our Pathway platform to create high-impact AI applications that deliver 10x value. You'll be given the freedom to experiment and push boundaries, discovering new ways AI can solve complex enterprise challenges.
Key Responsibilities:
Design and develop AI solutions using language models and agent frameworks.
Implement and customise agent frameworks like Autogen and LangGraph.
Integrate AI capabilities with client systems, custom built digital products and data sources.
Collaborate with Data Engineers to ensure optimal data structures for AI applications.
Work directly with clients to understand requirements and deliver transformative solutions.
Support customers with change management, education and awareness to re-skill their workforce to use AI safely and securely.
Contribute to the ongoing development of our Pathway platform.
Pioneer new approaches to AI implementation that haven't been tried before.
Challenge conventional wisdom about what's possible with current AI technologies.
Required Skills & Experience:
Experience with AWS AI services (e.g., AWS Bedrock, SageMaker Studio, Lambda, EKS) and/or Azure AI services (e.g., Azure OpenAI, Azure Cognitive Service, Azure ML).
Experience with designing, building and operating production grade generative AI systems.
Understanding of agent based monitoring systems like Langfuse and Open Telemetry.
Proficiency with agent frameworks (Autogen, LangGraph).
Strong Python programming skills for AI development and integration.
Experience with containerisation (Docker, Kubernetes) for deploying and scaling AI solutions.
Understanding of vector databases and embeddings.
Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput.
Software engineering skills and best practices.
Strong problem-solving abilities and creative thinking, with critical thinking credentials to solve complex business challenges across a range of industries.
The Mindset We Value:
Relentless Innovation:
We're looking for individuals who are constantly exploring the edges of what's possible with AI. You should be the type who stays up late testing new approaches just to see what might work.
Flexible Methodology:
Traditional development approaches don't always apply to AI. We need people who can adapt their working methods to the unique characteristics of AI systems, embracing experimental approaches when appropriate.
"Can Do" Attitude:
When faced with a seemingly impossible challenge, your response should be "let's figure out how" rather than "it can't be done." We value determined problem-solvers who find a way forward.
Balanced Perspective:
While pushing boundaries, you must maintain a grounded understanding of enterprise realities, balancing innovation with practical implementation.
Growth Opportunities:
Develop expertise with emerging AI models and capabilities before they reach mainstream adoption.
Create intellectual property and novel implementation approaches.
Work across multiple industries to develop deep domain expertise.
Contribute to the evolution of our proprietary AI methodology.
Participate in the AI research community and establish thought leadership.
Shape new AI services and capabilities within our Pathway platform.
Data Platform Engineer
About WeBuild-AI:
WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed.
Our Purpose:
At WeBuild-AI, we're not just building data architectures—we're building the foundation for AI-powered business transformation that creates lasting impact. Our teams are pioneering new approaches that fundamentally change how enterprises leverage their data assets, unlocking possibilities that were previously unimaginable. We believe that a modular and composable data architecture is the cornerstone of true AI transformation, and we're looking for visionaries who share our passion for pushing boundaries.
Role Overview:
As a Platform Engineer at WeBuild-AI, you will design and implement cutting-edge data solutions that form the foundation of our customers AI-driven transformations. You'll work with our Pathway platform to enable rapid strategy definition, technology capability validation, and new venture launches for our global enterprise clients. This role offers the unique opportunity to shape how entire industries approach data and AI integration.
Key Responsibilities:
Work with clients to understand their data landscape and transformation needs.
Establish data strategy roadmaps and build scalable data platforms.
Design and implement scalable data architectures to support AI-driven solutions.
Develop data solutions across a raft of AWS and Azure data services.
Design and implement data mesh and data fabric solutions to optimise data
discover, accessibility and governance.Establish the required governance and control planes for structured and unstructured data interaction for AI systems.
Collaborate with AI Engineers to ensure data structures support advanced AI capabilities.
Support the ongoing development of our Pathway platform and play a key role in the creation and ongoing delivery of AI agents across the end to end data lifecycle. (e.g. Data Governance & Data Quality Agents")
Challenge conventional approaches to discover breakthrough data solutions that unlock AI innovation for customers.
Required Skills & Experience:
You need to be equally adept at designing data driven platforms, as well as getting your fingers on key boards to build them.
Strong experience with AWS data services with exposure to AI systems (e.g., AWS DataZone, Bedrock, Redshift, Glue) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse)
Proficiency with Python for data processing and pipeline development.
Experience in building scalable and resilient data platforms in the public cloud.
Data modelling and wrangling expertise to support advanced analytical use cases and ML, AI opportunities.
Experience with containerisation technologies (Docker, Kubernetes) for scalable data solutions.
Experience with vector databases and graph databases (e.g., Pinecone, Neo4j, AWS Neptune).
Understanding of data mesh-fabric approaches and modern data architecture patterns.
Familiarity with AI/ML workflows and their data requirements.
Experience with API specifications and data integrations across ETL and streaming services (Glue, MSK, Kinesis, Kafka)
Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput.
Collaborative approach and excellent communication skills.
Strong problem-solving abilities and creative thinking, with critical thinking credentials to solve complex business challenges across a range of industries.
The Mindset We Value:
Frontier Thinking: We're looking for individuals who consistently ask "what if?" and aren't satisfied with the status quo. You should be excited about experimenting with emerging technologies and techniques that haven't yet been applied at enterprise scale.
Adaptable Learning: The AI landscape evolves weekly. We need team members who thrive in this rapid change, constantly expanding their skills and adapting their approach as new capabilities emerge.
Client Empathy: You must be able to translate complex technical concepts into value that resonates with business stakeholders, bringing them along on the AI transformation journey.
Speed with Purpose: We move fast, but always with clear intent. You should be comfortable working in rapid iterations while maintaining a focus on meaningful outcomes.
Growth Opportunities:
Expand your expertise across multiple cloud platforms and emerging data technologies
Gain certification in cutting-edge AI, data and knowledge graph technologies
Work directly with enterprise leadership to shape AI strategy
Develop deep specialisation in industry-specific solutions
Contribute to our thought leadership and IP development
Shape the future direction of our Pathway platform
We are just getting started, so you can play a key role in shaping the future of our business from the ground up. Using AI at its heart.
Data Platform Engineer
About WeBuild-AI:
WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed.
Our Purpose:
At WeBuild-AI, we're not just building data architectures—we're building the foundation for AI-powered business transformation that creates lasting impact. Our teams are pioneering new approaches that fundamentally change how enterprises leverage their data assets, unlocking possibilities that were previously unimaginable. We believe that a modular and composable data architecture is the cornerstone of true AI transformation, and we're looking for visionaries who share our passion for pushing boundaries.
Role Overview:
As a Platform Engineer at WeBuild-AI, you will design and implement cutting-edge data solutions that form the foundation of our customers AI-driven transformations. You'll work with our Pathway platform to enable rapid strategy definition, technology capability validation, and new venture launches for our global enterprise clients. This role offers the unique opportunity to shape how entire industries approach data and AI integration.
Key Responsibilities:
Work with clients to understand their data landscape and transformation needs.
Establish data strategy roadmaps and build scalable data platforms.
Design and implement scalable data architectures to support AI-driven solutions.
Develop data solutions across a raft of AWS and Azure data services.
Design and implement data mesh and data fabric solutions to optimise data
discover, accessibility and governance.Establish the required governance and control planes for structured and unstructured data interaction for AI systems.
Collaborate with AI Engineers to ensure data structures support advanced AI capabilities.
Support the ongoing development of our Pathway platform and play a key role in the creation and ongoing delivery of AI agents across the end to end data lifecycle. (e.g. Data Governance & Data Quality Agents")
Challenge conventional approaches to discover breakthrough data solutions that unlock AI innovation for customers.
Required Skills & Experience:
You need to be equally adept at designing data driven platforms, as well as getting your fingers on key boards to build them.
Strong experience with AWS data services with exposure to AI systems (e.g., AWS DataZone, Bedrock, Redshift, Glue) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse)
Proficiency with Python for data processing and pipeline development.
Experience in building scalable and resilient data platforms in the public cloud.
Data modelling and wrangling expertise to support advanced analytical use cases and ML, AI opportunities.
Experience with containerisation technologies (Docker, Kubernetes) for scalable data solutions.
Experience with vector databases and graph databases (e.g., Pinecone, Neo4j, AWS Neptune).
Understanding of data mesh-fabric approaches and modern data architecture patterns.
Familiarity with AI/ML workflows and their data requirements.
Experience with API specifications and data integrations across ETL and streaming services (Glue, MSK, Kinesis, Kafka)
Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput.
Collaborative approach and excellent communication skills.
Strong problem-solving abilities and creative thinking, with critical thinking credentials to solve complex business challenges across a range of industries.
The Mindset We Value:
Frontier Thinking: We're looking for individuals who consistently ask "what if?" and aren't satisfied with the status quo. You should be excited about experimenting with emerging technologies and techniques that haven't yet been applied at enterprise scale.
Adaptable Learning: The AI landscape evolves weekly. We need team members who thrive in this rapid change, constantly expanding their skills and adapting their approach as new capabilities emerge.
Client Empathy: You must be able to translate complex technical concepts into value that resonates with business stakeholders, bringing them along on the AI transformation journey.
Speed with Purpose: We move fast, but always with clear intent. You should be comfortable working in rapid iterations while maintaining a focus on meaningful outcomes.
Growth Opportunities:
Expand your expertise across multiple cloud platforms and emerging data technologies
Gain certification in cutting-edge AI, data and knowledge graph technologies
Work directly with enterprise leadership to shape AI strategy
Develop deep specialisation in industry-specific solutions
Contribute to our thought leadership and IP development
Shape the future direction of our Pathway platform
We are just getting started, so you can play a key role in shaping the future of our business from the ground up. Using AI at its heart.
Software Engineer
About WeBuild-AI:
WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed.
Our Purpose:
We believe AI will fundamentally transform software development itself. Our mission is to pioneer new ways of building enterprise software where AI is a core collaborator in the process, not just a feature of the product. We're creating the software development methodology of the future—one where human creativity is amplified by AI capabilities to achieve unprecedented speed and quality.
Role Overview:
As an AI Engineer with a software development focus at WeBuild-AI, you will bridge the worlds of traditional software engineering and cutting-edge AI. You'll design and implement robust, scalable software systems that leverage AI capabilities to transform our enterprise clients' businesses. You'll be at the forefront of redefining how software is conceived, built, and maintained in an AI-native world.
Key Responsibilities:
Develop high-quality software systems that incorporate AI capabilities.
Design and implement APIs and integrations for AI solutions.
Create developer tools and workflows that streamline AI implementation.
Input into the design and implementation of CI-CD workflows.
Build user interfaces and experiences for AI-powered applications.
Collaborate with AI Engineers and Data Engineers on end-to-end solutions.
Ensure software quality, performance, and security in AI implementations.
Contribute to the ongoing development of our Pathway platform.
Lead on the shaping of new AI-augmented development practices like Code Vibing.
Pioneer techniques for effectively collaborating with AI coding assistants.
Required Skills & Experience:
Strong software engineering background with proficiency in modern frontend and backend development.
Experience with React, CSS (Tailwind), HTML, and Python.
Experience with cloud services including AWS (Lambda, EKS) and/or Azure (ACS, Azure Functions)
Experience building and maintaining production AI enabled software systems.
Deep familiarity with AI-augmented development tools, particularly Cursor.
Proficiency with design systems and component-based architecture.
Ability to work with abstract concepts and loosely defined solutions.
Experience with rapid prototyping techniques and iterative development through solutions like Visily or Figma
Skilled at designing application data models and integrations.
Knowledge of API design and development.
Understanding of contemporary software architecture principles.
Strong problem-solving abilities and creative thinking, with critical thinking credentials to solve complex business challenges across a range of industries.
The Mindset We Value:
AI-Native Thinking: We're looking for developers who see AI as a fundamental collaborator in the development process, not just another tool. You should be excited about rethinking development practices from the ground up.
Methodological Flexibility: As AI capabilities evolve, so must development approaches. We need people who can adapt their methods, embracing new ways of working with AI that may challenge traditional development paradigms.
Pioneering Spirit: You should be eager to venture into uncharted territory, working with emerging technologies before best practices are established and helping to define those practices yourself.
Quality Focus: While embracing speed and innovation, you must maintain an unwavering commitment to building reliable, secure, and maintainable software systems.
Growth Opportunities:
Develop expertise in emerging AI-augmented development methodologies.
Gain deep experience with AI development tools before they reach mainstream adoption.
Contribute to the definition of new software engineering practices for the AI era.
Work across multiple industry contexts to develop versatile implementation approaches.
Shape the developer experience components of our Pathway platform.
Pioneer new approaches to software quality assurance in AI-powered systems.