AI & Data Architect

Hackajob Ltd; Greater London; On-site; GBP 61,000 - 101,000; Full time

Benefits offered by this job

Vacation up to 30 days

Private medical insurance

Extra leave for charitable work

Job summary

Hackajob Ltd is seeking an AI & Data Architect to lead the design of scalable, secure cloud architectures across data and AI programs in London. You will work with multi-disciplinary teams to translate business needs into reference architectures and production-ready solutions.

You will mentor teams, engage senior stakeholders, and drive innovation in a dynamic, client-focused environment with a strong emphasis on governance and security.

Qualifications

• Experience across AI/ML architectures, patterns, and cloud platforms.
• Design AI/ML driven solutions and manage data lifecycles.
• Data solution design using cloud-native services with serverless microservices.
• Hands-on data architect experience with Java, Scala or Python; architecture-as-code usage.
• Experience with open source and vendor data platforms; varied data architectures.
• Ability to communicate complex topics to technical and non-technical audiences.
• Foundational AWS/GCP certs; specialist data/AI certs preferred.

Responsibilities

• Align business objectives with scalable, secure cloud data architectures.
• Drive multi-cloud innovations in data, AI, and security strategies.
• Design platform architectures using cutting-edge patterns; guide production delivery.
• Provide technical leadership and mentoring to architects and engineers.
• Engage stakeholders and present cloud strategies to executives and governance forums.
• Contribute to the Data & AI community with templates and best practices.

Skills

AI/ML architecture

Cloud platform design

Data lifecycle management

Data architecture

Microservices architecture

Java

Python

Scala

Architecture as code

Stakeholder management

Communication skills

Consultancy experience

Education

AWS/Azure/GCP foundational certifications

AWS/GCP data engineering certifications

AWS Certified Machine Learning Specialty

Tools

AWS

GCP

LinkML

RDF/Turtle/Owl

Kubernetes

Serverless

Job description

Salary: £61,000 - 101,000 per year

Requirements:

• Experience across several of the following: AI/ML architectural patterns, best practices, and platform technologies
• Experience designing AI/ML-driven solutions and data lifecycle management
• Experience in data solution design, including selecting appropriate cloud-native services for data processing, management, and storage, with an emphasis on serverless microservices
• Experience with cloud infrastructure, including networking, security, monitoring, and scaling
• Experience as a hands-on data architect when needed, with programming languages such as Java, Scala, or Python, or architecture-as-code such as linkml, turtle, or owl
• Experience with both open source and vendor data platforms
• Experience with data architecture, architectural concepts, methodologies, and approaches
• Experience with microservices architecture
• Experience designing for both structured and unstructured data
• Ability to communicate effectively verbally and in writing to both technical and non-technical audiences
• Ability to demonstrate critical thinking by analysing and evaluating information and presenting solutions
• Ability to work in partnership with others and manage internal and external stakeholders effectively
• Familiarity with a breadth of technologies and how they can be combined to solve customer problems
• Consultancy experience is beneficial, or demonstrable experience working with clients or external partners in other settings
• Foundational certifications in AWS and/or GCP
• Specialist certifications in AWS and/or GCP on data engineering and/or AI/ML, such as AWS Certified Machine Learning Specialty

Responsibilities:

• Align complex business objectives with scalable, secure cloud solutions, ensuring alignment with organisational goals
• Drive innovation across data, AI, security, and multi-cloud strategies to enable digital transformation
• Design use-case and platform technology architectures to solve key business challenges using reference and cutting-edge technologies and architectural patterns
• Work in multi-disciplinary teams to refine and deliver architecture from inception through to production
• Provide technical leadership to shape technology strategy and solution design, managing and supporting other architects and engineers
• Contribute to the STS and wider Data & AI community by sharing insights and experience, and guiding the creation of standard patterns and templates for emerging technologies based on client delivery experience and research
• Mentor managers and consultants, building technical capability and leadership within the team
• Engage senior stakeholders and present cloud strategies and architectures to executive boards and governance forums
• Work with public sector and adjacent clients supporting their missions associated with UK sovereign transformation
• Work with clients through strategy, solution, and delivery, using bespoke methods to research, test, and deploy securely at scale
• Learn and grow through continuous learning and certification
• Serve as a cloud, data, and AI evangelist, educating customers on the value these technologies and approaches can bring to transform their business

Technologies:

• AI
• AWS
• Architect
• Cloud
• GCP
• Java
• Machine Learning
• Network
• Python
• Scala
• Security
• Serverless
• microservices
• Support

More:

We are partnering directly with Accenture to hire for an AI & Data Architect / AI & Data Senior Architect in London at Manager level (CL7). We are a leading global professional services company delivering strategy, consulting, technology, and operations services with strong digital capabilities. Our Secure Transformation Services team supports sovereign transformation across government, defence, Critical National Infrastructure, and regulated industries, building secure solutions that make our country safer.

We offer a competitive salary and package dependent on experience.

• up to 30 days of vacation per year
• private medical insurance
• 3 extra days of leave for charitable work of your choice

Flexibility and mobility are required, including time onsite with clients and partners.

We value inclusion, diversity, innovation, shared success, and continuous learning in a global network of experts.