*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
acrossETL 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.