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AI Summary
GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands.
On behalf of the client, GT is looking for a Staff Architect / Tech Lead.
Contract: 12-month (with potential extension).
About the Client
Our client is a global consulting organization that partners with businesses across industries to solve complex challenges and support transformation.
With an international presence and a collaborative way of working, their teams help clients drive meaningful business outcomes and long-term impact.
This role sits in an environment where business, data, and technology come together to support commercial effectiveness and scalable solutions.
About the project
Building a brand-new AI-powered Data Intelligence Platform from scratch.
The platform uses AI agents, self-learning techniques, and intelligent data analysis to help consulting teams work more efficiently by capturing, structuring, and scaling internal knowledge, workflows, and best practices.
This is a greenfield initiative with a newly formed engineering team and an opportunity to shape both the technical architecture and long-term product direction from day one.
About the Role
We are looking for a Staff Architect / Tech Lead to take ownership of technical architecture, engineering quality, and technical leadership for a new product workstream.
This is a hands-on leadership role combining backend architecture, data engineering, system design, and technical guidance. The successful candidate will work closely with architects, product stakeholders, and engineers to define technical direction, drive delivery, and ensure high engineering standards across the team.
The focus is on technical ownership, architecture decisions, mentoring engineers, and solving complex technical challenges.
Responsibilities:
Define and own architecture for a new AI/Data product workstream
Design scalable backend services, data flows, and integration patterns
Guide implementation and support engineers through technical leadership
Review code, architecture decisions, and engineering standards
Collaborate with product stakeholders to translate requirements into technical solutions
Design and evolve data platform components, pipelines, and services
Contribute to AI-enabled product capabilities and agent-based workflows
Drive engineering quality, documentation, testing standards, and maintainability
Participate in hands-on implementation of complex technical initiatives
Essential knowledge, skills & experience:
8+ years of software engineering experience, including at least 2 years operating at Staff Engineer, Staff Architect, Principal Engineer, or Technical Lead level
Strong Python experience, ideally with FastAPI or similar backend frameworks
Strong system design and software architecture background
Experience building data platforms, ETL pipelines, or large-scale data systems
Experience with Databricks and modern data engineering practices
Experience working with cloud-native architectures (Azure, AWS, or GCP)
Familiarity with containerized environments (Docker)
Understanding of AI/LLM-enabled products and agent-based systems
At least Upper-Intermediate (B2+) English or higher
Nice-to-have:
Experience building AI agent solutions in production
Experience with React / TypeScript
Experience working in consulting, enterprise platform, or internal product environments
Experience using AI-assisted development tools such as Cursor, Claude, Codex, or similar
Soft Skills
Excellent communication and stakeholder management skills
Strong problem-solving and decision-making abilities
Ability to thrive in ambiguous and fast-moving environments
Strong ownership mindset and accountability
Collaborative approach with the confidence to challenge ideas constructively
Ability to translate complex business requirements into scalable technical solutions
Experience working with cross-functional teams and senior stakeholders
Interview Steps
GT interview with Recruiter
Technical interview
Final interview
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