Tech Lead

Board of Innovation

. Own the technical delivery of demanding enterprise AI builds end to end .

Posted 10/3/2026full-timeRemote • PortugalSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading enterprise AI builds, including architecture, technical delivery, and mentoring engineers. Proficient in deploying LLM-based systems and navigating complex organizational environments while effectively communicating with stakeholders.

Highest-signal resume keywords

Applied AI Engineering ExpertiseLLM-Based Systems DeploymentPython ProficiencyCI/CD ExperienceTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI EngineeringSystem DesignProduction DeploymentCode Review DisciplineInfrastructure-as-CodeReliability ConsiderationsCost EvaluationPrototypingIntegrationTechnical Documentation

Soft Skills

MentoringClient-Facing CommunicationStakeholder Management

Tools & Technologies

Claude CodeCodexMCP-Based WorkflowsAzureCI/CD Tools

Industry Keywords

Enterprise AIAgentic SystemsTechnical ScopeOrganizational ConstraintsSecurity Reviews

Tech Stack

Tools & technologies

AzureCloudPython

About the role

Key responsibilities & impact

Own the technical delivery of demanding enterprise AI builds end to end
Shape technical scope, solution approach, team composition, timeline, proposals, and estimates
Lead architecture, document technical decisions, review engineering work, and manage progress, trade-offs, and risks
Build prototypes, hard integrations, and critical-path fixes when needed
Deliver production-grade systems, including agentic systems, LLM-powered services, and supporting platforms
Serve as the client's technical counterpart and explain technical decisions to non-technical stakeholders
Navigate enterprise approvals, platform teams, security reviews, and organizational constraints
Work on internal tooling and templates between client builds
Mentor engineers on project teams
Report directly to the Engineering Director
Run one flagship build nearly full-time or two or three smaller builds concurrently, depending on the portfolio

Requirements

What you’ll need

5+ years of engineering experience
At least 2 years technically leading builds and the engineers on them
Experience taking systems from design to production in another organization's environment
Applied AI engineering expertise, including agents, tool use, retrieval, MCP, evals, and orchestration
Experience shipping LLM-based systems into production
Knowledge of reliability, cost, and evaluation considerations for LLM systems
Proficiency in Python, CI/CD, testing, code review discipline, and infrastructure-as-code
Fluency with AI-assisted coding tools such as Claude Code, Codex, and MCP-based workflows
Real production cloud experience; Azure preferred
Experience deploying inside locked-down enterprise environments is a plus
Ability to explain architecture to VP-level stakeholders and manage client-facing technical discussions
Must be based in Lisbon or elsewhere in Portugal
CV and a short note describing a technically led build, what went wrong, and what would be done differently