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Metyis Logo Metyis · IT - Software Development

AI Acceleration Lead Architect

Portugal, Porto · Job Posted July 04, 2026
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Job Description

We are looking for an experienced professional to join our AI & Data Migration Team. As an AI Acceleration Lead / AI Architect, you will be responsible for designing and leading AI-assisted automation solutions that accelerate SAP migration, data platform modernization, technical analysis, documentation, code interpretation, testing, and delivery execution. You will combine a strong software development background, AI engineering expertise, and experience leading large software development teams or acting as a staff/principal engineer for complex enterprise solutions. You will work closely with SAP architects, SAP BW / ABAP experts, Data Engineering, BI, CloudOps, Governance, and business stakeholders to embed AI into the migration delivery process.

Job Responsibility

  • Lead the architecture and implementation of AI-assisted automation solutions for SAP migration and data platform modernization
  • Define the AI acceleration roadmap, technical architecture, reusable patterns, and delivery standards for AI-enabled migration
  • Design AI agents, copilots, automation workflows, and orchestration patterns to support technical analysis, code interpretation, documentation, testing, and migration execution
  • Lead software development teams in designing, building, testing, and deploying AI-enabled automation solutions
  • Act as a senior technical authority for complex solution design, engineering standards, code quality, architecture decisions, and delivery execution
  • Define engineering practices for AI-assisted development, including code review, CI/CD, testing, observability, security, documentation, and release management
  • Guide multiple developers across backend, data, AI, integration, and DevOps workstreams to deliver production-ready solutions
  • Support staffing, technical onboarding, capability development, and engineering quality control for AI acceleration teams
  • Break down complex AI automation initiatives into clear technical work packages for development teams
  • Build and guide solutions that help analyze SAP BW objects, ABAP code, SAP metadata, data lineage, interfaces, dependencies, and migration complexity
  • Work with SAP Architects, SAP BW / ABAP Leads, and Integration Specialists to translate SAP knowledge into AI-readable context, prompts, tools, and automation flows
  • Help AI developers integrate solutions with SAP metadata, ABAP repositories, documentation sources, data catalog tools, code repositories, DevOps pipelines, and target data platforms
  • Define how AI should support migration activities such as object discovery, impact analysis, source-to-target mapping, transformation explanation, test case generation, reconciliation support, and documentation creation
  • Lead software architecture for AI solutions, including APIs, backend services, workflow orchestration, security, logging, monitoring, evaluation, and deployment
  • Guide development teams in building robust, maintainable, and production-ready AI-enabled tools and services
  • Define quality controls for AI outputs, including human-in-the-loop validation, traceability, evaluation criteria, hallucination controls, and audit evidence
  • Support integration of AI capabilities with Microsoft Azure, Azure AI Foundry, OpenAI models, Databricks, Microsoft Fabric, GitHub, DevOps, and monitoring tools where relevant
  • Identify automation opportunities across data engineering, IoT, finance, marketing, operations, and enterprise reporting workflows
  • Work with Data Engineering and BI teams to automate repetitive development, documentation, testing, validation, and migration support tasks
  • Collaborate with Governance and Security teams to ensure AI solutions are compliant, secure, explainable, and aligned with responsible AI principles
  • Coach project teams on practical AI usage, prompt engineering, AI-assisted development, and safe adoption of automation in delivery work
  • Support project planning, estimation, prioritization of AI use cases, delivery reporting, and value tracking of AI acceleration initiatives

Requirements

  • 8+ years of experience in software engineering, solution architecture, data engineering, automation, or AI-enabled enterprise delivery
  • Strong software development background with hands-on experience designing and building production-grade applications, APIs, backend services, data services, or automation platforms
  • Proven experience leading software development teams or acting as a staff/principal engineer for large teams and complex enterprise solutions
  • Proven experience leading large-scale automation initiatives using AI, preferably in data, IoT, finance, marketing, operations, or enterprise analytics environments
  • Strong ability to define engineering standards, architecture principles, delivery patterns, and technical quality gates across multiple teams
  • Experience coaching developers, reviewing technical designs, improving code quality, and raising engineering maturity in delivery teams
  • Ability to balance hands-on technical depth with leadership across architecture, delivery planning, team enablement, and stakeholder management
  • Experience building complex production systems involving APIs, integrations, automation workflows, cloud services, data platforms, monitoring, and security controls
  • Strong experience with Python and modern software engineering practices, including Git, CI/CD, automated testing, code quality, observability, and secure development
  • Experience designing and implementing AI agents, LLM-based applications, workflow automation, RAG solutions, prompt frameworks, and tool/function-calling patterns
  • Strong understanding of enterprise data platforms, data pipelines, metadata, lineage, data quality, semantic layers, and analytical reporting processes
  • Experience with Microsoft Azure, Azure AI services, Azure OpenAI / OpenAI models, Azure AI Foundry, Databricks, Microsoft Fabric, or similar cloud and data platforms
  • Ability to translate business and technical problems into scalable AI automation solutions with measurable delivery impact
  • Experience integrating AI solutions with enterprise systems, APIs, databases, code repositories, documentation platforms, DevOps tools, and monitoring systems
  • Strong understanding of AI governance, security, access control, privacy, model evaluation, auditability, and responsible AI practices
  • Experience defining human-in-the-loop review processes, evaluation frameworks, quality gates, and controls for AI-generated outputs
  • Strong architectural thinking, with the ability to design reliable, reusable, and maintainable AI-enabled platforms rather than one-off prototypes
  • Experience in automating technical documentation, code analysis, test generation, data validation, or migration support processes is a strong plus
  • SAP knowledge is a plus, especially SAP BW, SAP HANA, ABAP, SAP metadata, SAP integration patterns, APIs, extractors, and migration dependencies
  • Experience working with SAP modernization, SAP migration, or ERP-related data transformation programs is a plus
  • Ability to collaborate with SAP experts and convert domain knowledge into AI context, prompts, structured metadata, and reusable automation logic
  • Strong communication skills, with the ability to explain AI architecture, risks, limitations, and business value to technical and non-technical stakeholders
  • Customer centric, pragmatic, and passionate about using AI to improve delivery speed, quality, and transparency
  • Strong problem-solving skills, ownership mindset, and ability to work with ambiguity in complex transformation environments
  • Comfortable leading multidisciplinary teams across AI, Software Engineering, SAP, Data Engineering, BI, CloudOps, Governance, and Business Analysis
  • A Bachelor's Degree in Computer Science, Software Engineering, Data Science, Information Systems, Engineering, Mathematics, or another related technical discipline
  • A Master’s Degree is a plus

Nice to have

  • Experience in automating technical documentation, code analysis, test generation, data validation, or migration support processes
  • SAP knowledge, especially SAP BW, SAP HANA, ABAP, SAP metadata, SAP integration patterns, APIs, extractors, and migration dependencies
  • Experience working with SAP modernization, SAP migration, or ERP-related data transformation programs
  • A Master’s Degree
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