Remote GenAI Adoption Architect: Enterprise AI SDLC Lead

N-iX; Portugal; Hybrid; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Flexible work format

Competitive salary

Career growth

Education reimbursement

Tech talks & trainings

Team events

Remote-friendly

Job summary

N-iX is seeking an AI Architect to lead discovery and early implementation of an enterprise AI-assisted SDLC transformation. This senior, hands-on role blends GenAI solution architecture, agentic engineering, AI adoption, and technical discovery for scaling an existing framework.

You will shape architecture, drive adoption, define guardrails and governance, and partner with security, architecture, and engineering teams to turn AI capabilities into measurable engineering outcomes across

Qualifications

• 8+ years of experience in software engineering, solution architecture, engineering leadership, or technical consulting with strong recent focus on Generative AI.
• Proven experience leading GenAI adoption, AI-assisted SDLC transformation, or enterprise AI engineering initiatives.
• Hands-on knowledge of LLMs, RAG, AI agents, agentic workflows, prompt/context engineering, tool calling, and multi-agent systems.

Responsibilities

• Lead the technical discovery and AI adoption assessment with engineering teams and stakeholders.
• Assess the existing AI/agentic engineering framework and define the target state.
• Own the GenAI solution architecture and implementation approach, including integrations with CI/CD and Jira/Confluence.

Skills

GenAI

LLMs

AI governance

Stakeholder mgmt

Architectural leadership

Tools

Claude Code

GitHub Copilot

OpenAI Codex

Job description

N-iX is seeking an AI Architect to lead discovery and early implementation of an enterprise AI-assisted SDLC transformation. This senior, hands-on role blends GenAI solution architecture, agentic engineering, AI adoption, and technical discovery for scaling an existing framework.

You will shape architecture, drive adoption, define guardrails and governance, and partner with security, architecture, and engineering teams to turn AI capabilities into measurable engineering outcomes across