Technical Lead, Data & AI, FR

Vector8 Group; France; On-site; EUR 120,000 - 160,000; Full time

Benefits offered by this job

Flexible working hours

Remote work options

25 days paid vacation

Private health and life insurance &amp

Pension plan

Home office allowance

Lunch vouchers

Transport reimbursements

Training & conferences

Latest technologies access

Job summary

Vector8 Group is seeking a Technical Lead who is deeply hands-on, writing code daily, building enterprise-grade data and AI solutions, and providing technical direction and mentorship. You will drive delivery, set engineering quality, and influence across teams while navigating regulated environments.

The role demands strong Python/SQL skills, multi-cloud experience, and a track record of designing scalable AI architectures with governance and security in mind.

Qualifications

• Extensive 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 in Python, SQL, or similar languages and 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 regulatory requirements.

Responsibilities

• Contribute directly to solution development and validate technical approaches as needed.
• Support teams during complex engineering tasks, unblock challenges, ensure alignment with architecture.
• Hands-on delivery remains primary—lead from the front, writing code and solving problems with the team.

Skills

ML & data engineering

AI solution architectures

Python

SQL

Stakeholder management

Architectural decisions

Communication

Regulated environments

Education

Bachelor’s or Master’s degree in CS/Math/Physics or related

Tools

Python

SQL

Airflow

Claude Code

LangDock

Job description

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

• 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

• 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.

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.

Drive Technical Delivery & Team Leadership

• 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.

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, cybersecurity controls, governance, and compliance in solution design.

Enable AI at Scale

• 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.

Shape Client Relationships & Growth

• 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.

• 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.