Accenture
AI Deployment Engineering Manager (all genders)
Kronberg, Campus Kronberg 1, DE
Sponsorship not specifiedDetected 1 day ago
TypeScriptPythonJavaFull-Stack DevelopmentVector DatabasesAWSGCPAzureCloud PlatformsDockerKubernetesTerraformHelmCI/CDData EngineeringLLMsRAGLLMOpsLangGraphAI OrchestrationDesign SystemsProduct ManagementProduct StrategyLeadership
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Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Who You Are You will embed directly into Accenture's priority accounts across Central and Eastern Europe.
Requirements
- You work at the intersection of engineering, product thinking, and client delivery.
- The expectation is that you can go from a vague client problem to a working proof of concept in days - and from there to a production-grade deployment in weeks.
- Human-AI Experience Engineering: Translate complex AI behaviours - reasoning traces, confidence states, agentic actions, fallback flows - into transparent, controllable user experiences.
Nice to have
- Extensive experience in engineering delivering production software - either as a software engineer with significant client-facing or consulting exposure, or in a prior forward deployed engineering role.
- Full-stack engineering capability. strong backend skills in Python (primary) and at least one of TypeScript or Java
- Experience deploying to cloud environments (AWS, GCP, or Azure) via CI/CD pipelines, infrastructure-as-code (Terraform, Helm), and containerisation (Kubernetes, Docker)
- Strong data engineering fundamentals - pipelines, structured and unstructured datasets, reasoning about data quality in messy real-world environments
- Experience designing and deploying enterprise AI applications including agentic workflows, RAG pipelines, vector databases, embeddings, and semantic search
- Demonstrated ability to scope ambiguous, real-world problems, move quickly from diagnosis to working software, and operate with high autonomy inside unfamiliar client environments.
- Fluency in English - able to embed with DACH clients, facilitate workshops, and represent Accenture Song at the highest level in client environments.
- Experience with responsible AI in production - guardrails, content filtering, human-in-the-loop design, auditability, and bias evaluation - applied to enterprise-grade AI systems.
Company info
- Accenture Song is the world's largest tech-powered creative group. Within Song, our Design & Digital Products practice helps iconic brands reinvent the products, services, and spaces that define their relationship with customers - from defining product strategy and crafting human-centred digital experiences, to engineering the AI-powered platforms and design systems that bring them to life at scale.
- We operate like a studio: small teams, high craft standards, and a direct line between design decisions and shipped products. Our team spans Product Design, Product Management, Engineering, Experience Design, and Content Design across 70 Song Studios worldwide. AI is not a feature layer we add - it is the architecture we build around.
- Who You Are
- You will embed directly into Accenture's priority accounts across Central and Eastern Europe. You are the technical owner on the ground, scoping problems, building solutions, closing the AI last mile, and demonstrating what AI-native delivery actually looks like.
- Accenture Song is the world's largest tech-powered creative group.
- Within Song, our Design & Digital Products practice helps iconic brands reinvent the products, services, and spaces that define their relationship with customers - from defining product strategy and crafting human-centred digital experiences, to engineering the AI-powered platforms and design systems that bring them to life at scale.
- We operate like a studio: small teams, high craft standards, and a direct line between design decisions and shipped products.
- Our team spans Product Design, Product Management, Engineering, Experience Design, and Content Design across 70 Song Studios worldwide.
- AI is not a feature layer we add - it is the architecture we build around.
Visa & Work Authorization
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This listing is sourced directly from Accenture's careers page and normalized into a canonical job model.