Director of Engineering – AI Apps, Agent Studio

Jobtailor; Deutschland; Remote; EUR 180.000 - 240.000; Vollzeit

Zusammenfassung

Jobtailor is seeking an accomplished engineering leader to head the AI Apps and Agent Studio engineering organization in Germany. You will define the technical vision, architecture, and execution model for AI-powered applications and agent experiences, owning the platform roadmap and ensuring scalable, secure production systems.

Collaborating with ProductManagement and cross-functional teams, you will drive architecture for LLM integration, agent orchestration, and tool calling, while upholding

Qualifikationen

• 10+ years of software engineering and leadership experience.
• Ability to define and execute technical roadmaps for scalable cloud software.
• Strong architecture, APIs, and distributed systems knowledge.
• Experience translating product strategy into engineering plans and investments.
• Proven track record building high-performing engineering organizations.
• Familiarity with Agile, CI/CD, automated testing, and DevOps practices.
• Experience with production AI applications, LLM platforms, and agentic systems.
• Knowledge of enterprise AI security, privacy, governance, and responsible AI practices.

Aufgaben

• Lead the engineering organization for AI Apps and Agent Studio.
• Set technical vision, architecture, and standards for AI-powered apps.
• Own the engineering roadmap for Agent Studio and related capabilities.
• Drive production AI architecture including LLM integration and agent orchestration.
• Partner with Product Management to translate AI strategy into scalable platform capabilities.
• Establish patterns for connecting AI agents to enterprise systems and tools.
• Ensure security, privacy, reliability, latency, observability, and cost efficiency.

Kenntnisse

Engineering leadership

AI applications

Cloud-native development

Agile development

LLM integration

Agent orchestration

API design

Distributed systems

Security & governance

Observability

Tools

Microsoft Azure

AWS

AI assistants

Conversational AI

Speech AI

Knowledge retrieval

Jobbeschreibung

• Lead the engineering organization responsible for AI Apps and Agent Studio


• Set the technical vision, architecture, execution model, and engineering standards for AI-powered applications and agent experiences


• Own the engineering roadmap for Agent Studio and shared AI application capabilities


• Drive architecture for production AI applications, including LLM integration, agent orchestration, tool/function calling, RAG, knowledge integration, prompt/configuration management, memory/context, and human handoff patterns


• Partner with Product Management to translate AI product strategy and customer use cases into scalable platform capabilities, technical investments, delivery plans, and measurable outcomes


• Establish engineering patterns for connecting AI agents to communications, contact center, voice, messaging, collaboration, customer data, and third-party applications


• Ensure AI applications meet enterprise expectations for security, privacy, reliability, latency, observability, cost efficiency, governance, and responsible AI behavior


• Define evaluation and quality frameworks, including automated testing, model and prompt evaluation, hallucination/error analysis, regression testing, safety controls, and production monitoring


• Create platform capabilities enabling product teams and authorized users to build AI experiences rapidly while maintaining reusable architecture, governance, and operational controls


• Collaborate across engineering, architecture, data/analytics, security, QA, SRE/DevOps, Product Management, and customer-facing teams


• Define metrics for AI quality, task completion, containment/automation, latency, reliability, cost, adoption, customer outcomes, and engineering delivery performance


• Develop engineering managers and senior technical leaders


• Stay current with advances in generative AI, LLMs, agentic systems, evaluation methods, and AI infrastructure, making pragmatic build/buy/partner decisions

Requirements

• 10+ years of software engineering experience, including significant engineering leadership experience managing managers and/or multiple software development teams


• Proven ability to define and execute technical roadmaps for scalable, highly available cloud software products and platforms


• Strong understanding of software architecture, APIs, distributed systems, cloud-native development, security, observability, and modern software development life cycle practices


• Experience partnering with Product Management to translate business strategy and product roadmaps into executable engineering plans, estimates, milestones, and technical investments


• Experience building high-performing engineering organizations through hiring, coaching, performance management, succession planning, and development of engineering leaders and senior technical talent


• Strong knowledge of Agile development, CI/CD, automated testing, code quality, release management, and DevOps/SRE practices


• Strong problem-solving and analytical skills


• Excellent communication and leadership skills


• Experience with production generative AI applications, LLM platforms, AI assistants, conversational AI, or agentic systems


• Experience with agent orchestration, tool/function calling, RAG, embeddings/vector search, knowledge retrieval, prompt/configuration management, and model APIs


• Experience with AI evaluation, observability, guardrails, content/safety controls, latency optimization, token/model cost management, and production monitoring


• Cloud-native software development on Microsoft Azure and/or AWS


• Integration of AI with enterprise applications, APIs, communications/contact center systems, voice, messaging, or workflow automation strongly preferred


• Speech AI experience highly desirable


• Understanding of enterprise AI security, privacy, data governance, model governance, and responsible AI practices

Core Competencies

Demonstrates expertise in leading engineering organizations focused on AI applications, with a strong emphasis on architecture, technical roadmaps, and scalable cloud software development. Proficient in integrating AI technologies with enterprise systems while ensuring security, governance, and performance metrics.

Highest-signal resume keywords

• AI Application Development


• Cloud-Native Development


• Engineering Leadership


• Agile Development Practices


• Generative AI Experience

ATS Optimization Keywords

Hard Skills

• Software Architecture


• APIs


• Distributed Systems


• CI/CD


• Automated Testing


• DevOps Practices


• LLM Integration


• Agent Orchestration


• Prompt Management


• Model APIs

Soft Skills

• Excellent Communication


• Leadership Skills


• Problem-Solving


• Analytical Skills

Industry Keywords

• AI Security


• Data Governance


• Responsible AI Practices


• Observability


• Performance Management

Tools & Technologies

• Microsoft Azure


• AWS


• AI Assistants


• Conversational AI


• Speech AI