Hands-on technical lead responsible for designing, coding, and delivering enterprise data and AI systems. Leads cross-functional engineering teams, defines architectures, reviews designs and code, mentors engineers, and enables scalable AI development and operations. The role addresses complex enterprise ecosystems, modernization, cybersecurity, data governance, responsible AI, compliance, and regulated environments. It also supports executive stakeholder relationships, proposals, and expansion of data and AI platform capabilities.
The Technical Lead is a central, deeply hands-on role at vector8. You will write code, build solutions, and directly drive the delivery of enterprise-grade data and AI systems — while providing the technical direction and mentorship that helps the team around you excel.
This is not a primarily hands off, high level management position: you are expected to be in the codebase every day, solving hard problems, unblocking teammates, and setting the bar for engineering quality. You bring strong hands-on engineering skills across data and AI, combined with the breadth to make sound technical decisions, navigate complex system landscapes, and ensure everything delivered is secure, performant, and compliant.
Job requirements
Job responsibilities
Hands-on Contributor
Benefits
This is not a primarily hands off, high level management position: you are expected to be in the codebase every day, solving hard problems, unblocking teammates, and setting the bar for engineering quality. You bring strong hands-on engineering skills across data and AI, combined with the breadth to make sound technical decisions, navigate complex system landscapes, and ensure everything delivered is secure, performant, and compliant.
Job requirements
- Extensive and demonstrable experience in ML & data engineering & AI solution architectures.
- Deep expertise in designing and building complex AI solutions (MLOps, streaming, APIs, orchestration).
- Strong hands-on engineering skills - comfortable coding in Python, SQL, or similar languages and working with modern data/AI toolchains.
- Experience with AWS, Azure, or GCP data/AI services; multi-cloud familiarity is a strong 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
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.
- Hands-on delivery is the primary mode — you lead from the front, writing code and solving problems directly alongside the team.
- Lead cross-functional delivery teams of data engineers, ML engineers, MLOps specialists, and software developers.
- Define technical workstreams, review code and designs, and ensure architectural coherence throughout the implementation.
- Provide coaching, mentoring, and thought leadership to elevate engineering quality and delivery excellence.
- 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, cybersecurity controls, governance, and compliance in solution design.
- Design architectures that support AI development, deployment, monitoring, governance, and lifecycle management.
- Build reusable architectural patterns and components that accelerate scaling AI beyond single use cases.
- Build trusted relationships with CDOs, CIOs, Chief Architects, engineering leads, and business stakeholders.
- Contribute technical expertise to proposals and RfPs.
- Identify opportunities to expand AI and data platform capabilities across the organization.
Benefits
- A great compensation package with competitive benefits, including:
- Flexible working hours, including remote work options (hybrid model).
- 25 days of paid vacation per year, plus additional flex days.
- Private health and life insurance & pension plan for long-term security.
- Home office allowance & Lunch vouchers to enjoy meals on us.
- Discounted fitness memberships to stay active.
- 50% reimbursement of public transport costs.
- Free coffee, fruit, and snacks to keep you fueled.
- Access to the latest technologies (LangDock, Claude Code for developers)
- Grants for training, coaching, and conferences to support your continuous learning.
- Opportunities to attend industry events and represent vector8 as a thought leader.
- A less-formal work environment where authenticity and collaboration thrive.
- A diverse and inclusive team that values curiosity, ownership, and innovation.
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