Architect – Enterprise AI

Jobtailor; Deutschland; Remote; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a Senior Enterprise Architect to lead AI platform architectures and governance across the organization. You will define standards for AI gateways, MCP integrations, and scalable agent frameworks.

Collaborate with EA, engineering, data, security, and business teams to evaluate AI use cases, design reference implementations, and ensure alignment with roadmaps and cost management. Strong leadership and communication skills are required to guide teams and sponsor architecture

Qualifikationen

• Bachelor's degree or higher in a relevant field.
• 10+ years in enterprise/solution architecture or related tech disciplines.
• Experience designing AI, Generative AI, ML, or intelligent automation solutions.
• Experience developing architecture standards, reference architectures, and governance practices.
• Strong understanding of cloud platforms, integration, security, and modern software patterns.

Aufgaben

• Define enterprise architecture standards and reference architectures for AI-enabled solutions.
• Partner with EA, Engineering, Data, Security, and business teams to evaluate AI use cases and guide architectural tradeoffs.
• Design and maintain reusable patterns for AI gateways, MCP integrations, agent orchestration, and AI platform services.

Kenntnisse

Enterprise Architecture

AI Solution Design

Cloud Platforms

AI Governance

Leadership Experience

Ausbildung

Bachelor's degree in Computer Science / Information Systems / Engineering

Tools

OpenShift

Kubernetes

AI Gateways

Model Context Protocol

LangGraph

LangChain

Vector Databases

AI Observability Practices

Jobbeschreibung

• Define enterprise architecture standards, reference architectures, and implementation patterns for AI, Agentic AI, and AI-enabled solutions
• Partner with Enterprise Architecture, Engineering, Data, Security, and business teams to evaluate AI use cases and provide guidance on architectural tradeoffs
• Design and maintain reusable architecture patterns for AI gateways, Model Context Protocol (MCP) integrations, agent orchestration, enterprise knowledge access, retrieval architectures, and AI platform services
• Establish architectural guidance for AI security, identity management, authorization, governance, compliance, and policy enforcement
• Support adoption of AI development lifecycle (AI-DLC) practices through architecture reviews, standards, reference implementations, and implementation guidance
• Define architectural approaches for AI evaluation, observability, monitoring, operational readiness, and cost management
• Develop reference implementations and proof-of-concept solutions to accelerate delivery and scale AI capabilities into production environments
• Ensure AI and technology solutions align with enterprise architecture standards, strategic technology roadmaps, and long-term operational objectives
• Collaborate with stakeholders to gather, analyze, communicate, and validate requirements impacting ALSAC's enterprise technology environment

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
• 10+ years of experience in enterprise architecture, solution architecture, systems integration, software engineering, or related technology disciplines
• Experience designing and implementing AI, Generative AI, machine learning, or intelligent automation solutions
• Experience developing architecture standards, reference architectures, and technology governance practices
• Strong understanding of cloud platforms, application integration, enterprise security, and modern software architecture patterns
• Ability to communicate technical concepts effectively to both technical and non-technical stakeholders
• 5+ years of leadership, team lead, or architecture influence experience
• Preferred: Enterprise AI architecture expertise with Bedrock, MCP, AI Gateways, LangGraph/LangChain, RAG, and agentic AI platforms
• Preferred: Strong architecture and implementation experience across OpenShift/Kubernetes and scalable AI infrastructure, including deployment, operations, and lifecycle management of long-running agents
• Preferred: Knowledge of large language models (LLMs), retrieval-augmented generation (RAG), agent frameworks, vector databases, and AI observability practices
• Preferred: Experience with responsible AI, AI governance, security, and compliance frameworks
• Preferred: Experience creating reusable frameworks, accelerators, and architecture guidance for enterprise technology teams

Core Competencies

Demonstrates expertise in defining enterprise architecture standards and implementing AI solutions, with a strong focus on AI security, governance, and compliance. Proven ability to collaborate with cross-functional teams to drive AI adoption and align technology solutions with strategic objectives.

Highest-signal resume keywords

• Enterprise Architecture
• AI Solution Design
• Cloud Platforms
• AI Governance
• Leadership Experience

ATS Optimization Keywords

Hard Skills

• AI Development Lifecycle
• Architecture Standards
• Systems Integration
• Software Engineering
• Generative AI
• Machine Learning
• Application Integration
• Modern Software Architecture Patterns
• Reusable Frameworks
• Architecture Guidance

Soft Skills

• Effective Communication
• Stakeholder Collaboration

Industry Keywords

• Enterprise Security
• Compliance Frameworks
• AI Governance
• Operational Readiness
• Cost Management

Tools & Technologies

• OpenShift
• Kubernetes
• AI Gateways
• Model Context Protocol
• LangGraph
• LangChain
• Vector Databases
• AI Observability Practices