Technical Lead / AI Architect

The role

Key responsibilities

• Own the end-to-end technical architecture for AI-enabled applications, agent workflows, integrations, and supporting infrastructure.
• Translate business objectives and client requirements into technical designs, delivery estimates, and implementation plans.
• Select and evaluate models, frameworks, development tools, and infrastructure based on solution requirements, cost, and operational constraints.
• Establish engineering standards covering coding practices, documentation, source control, testing, deployment, and monitoring.
• Define architectural approaches for model integration, retrieval, tool use, workflow orchestration, and human approval.
• Establish requirements for authentication, access control, data protection, auditability, and secure handling of credentials.
• Review designs and code, resolve complex technical issues, and oversee technical quality.
• Guide the team on performance, scalability, model usage costs, and operational resilience.
• Maintain a technical risk register and manage architectural decisions and technical debt.
• Mentor engineers and support technical recruitment and assessment.
• Work with business stakeholders to clarify scope, explain trade-offs, and manage expectations.

Required experience and capabilities

• Strong experience designing and delivering production software systems.
• Demonstrated experience building AI-enabled applications using large language models.
• Understanding of agent architectures, retrieval-augmented generation, model evaluation, and enterprise integration.
• Proficiency in at least one relevant programming language, such as Python or TypeScript.
• Experience with cloud infrastructure, APIs, databases, deployment pipelines, and application monitoring.
• Ability to assess security, reliability, performance, and cost trade-offs.
• Experience leading technical teams and reviewing engineering work.
• Strong written communication and stakeholder-management skills.

Preferred experience

• Delivery of AI solutions in enterprise or client-facing environments.
• Experience with multi-tenant applications, regulated data, or complex access-control requirements.
• Familiarity with marketing, sales, customer engagement, or business-process automation.
• Experience working with distributed or international delivery teams.