Job Description
Our mission at vector8 is to elevate organisations by unlocking the true value of AI, getting the best from Human‑Machine collaboration. We have a culture grounded in inclusivity, curiosity, ownership, and collaboration, where your ideas shape the future of AI consulting.
We believe that over the next decade, every business will become an AI business and that a new era of AI transformation will enable greater leaps than ever before. We see a world where the seamless integration of human expertise and advanced AI technologies sparks unparalleled growth, efficiency, and resilience across all sectors.
vector8 collaborates with ambitious enterprises to address these challenges by adopting a unique strategy that merges the strengths of a product vision and custom development expertise. We deliver tailor‑made, fine‑tuned, optimised, and compliant AI solutions swiftly and affordably, leveraging AI Accelerators that tackle common industry problems and can be adapted and combined to build and deploy targeted use cases in production.
The Lead Architect plays a pivotal role at vector8. You will define, design, and build enterprise‑grade data and AI solutions, exercising and developing your skills not only as an architect, but as a hands‑on solution designer and occasional coder, who shapes systems and guides teams through implementation.
You bring deep expertise in enterprise and solution architecture for data and AI, combined with the willingness and ability to dive into code, validate architectural decisions, and help delivery teams move forward. You are comfortable navigating complex system landscapes, legacy environments, and strict requirements around security, compliance, and data protection.
You will design the cloud, data, and AI foundations that enable organisations to scale AI from individual use cases to a sustainable, enterprise‑wide capability.
Job Requirements
- Extensive and demonstrable experience in data engineering, AI solution architecture, enterprise architecture.
- Deep expertise in designing and building complex AI solutions (MLOps, streaming, APIs, orchestration).
- Strong hands‑on engineering skills and experience of hybrid architectures combining on‑prem systems with cloud data and AI services.
- Experience with AWS, Azure, or GCP data/AI services; multi‑cloud familiarity is a plus.
- Knowledge of data governance, responsible AI, security frameworks, and operational controls, ideally coupled with experience in highly regulated industries with strict requirements for security, privacy, compliance, and data governance.
- Excellent stakeholder management and communication skills, able to influence both executives and engineering teams.
- Ability to convert complex challenges into clear architectural decisions and actionable delivery plans.
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics or a related field.
Job Responsibilities
Architect & Design Enterprise Grade Data & AI Solutions
- Create end‑to‑end architectures for data platforms, AI systems, analytics environments, and integration layers.
- Design solution components such as data pipelines, ML pipelines, model hosting environments, real‑time processing, and APIs.
- Ensure solutions meet enterprise requirements for performance, security, compliance, resilience, and maintainability.
Hands‑on Contributor
- Contribute directly to solution development validating technical approaches when needed.
- Support teams during complex engineering tasks, unblock challenges, and ensure the final solution aligns with the architecture.
- Balance high‑level architectural thinking with pragmatic, hands‑on execution.
Data & AI Solutions Guide Delivery & Technical Leadership
- Lead cross‑functional delivery teams of data engineers, ML engineers, MLOps specialists, and software developers.
- Define technical work streams, review code and designs, and ensure architectural coherence throughout the implementation.
- Provide coaching, mentoring, and thought leadership to elevate engineering quality and delivery excellence.
Data & AI Solutions Navigate Complex Systems & Regulated Environments
- Work across intricate enterprise ecosystems with heterogeneous applications, distributed data sources, and legacy components.
- Identify modernization paths and integration patterns that respect operational realities and long‑standing constraints.
- Embed data protection, cyber security controls, governance, and compliance in solution design.
Enable AI at Scale
- Design architectures that support AI development, deployment, monitoring, governance, and life cycle management.
- Build reusable architectural patterns and components that accelerate scaling AI beyond single use cases.
Shape Client Relationships & Growth
- Build trusted relationships with CDOs, CIOs, Chief Architects, engineering leads, and business stakeholders.
- Contribute to proposals, RfPs, and technical vision during business development.
- Identify opportunities to expand AI and data platform capabilities across the organization.
Job Benefits
- Competitive base salary with private medical and dental care.
- Modern office space with a collaborative, energising atmosphere.
- Hybrid working model – balance remote work with in‑office collaboration.
- Ongoing investment in your professional development, with clear opportunities to take on leadership.
- Join a growing, diverse, international team across 5 locations, with regular team events and opportunities for cross‑border collaboration.
- Attractive referral bonuses for both candidate and client conversions.
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