AI Native Product Engineer & Orchestrator (all gender) chez Accenture

We Are

A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our teams embed deeply with customers, orchestrating people, tools, and processes to move projects beyond experimentation into operational reality.

You Are

An AI Native Product Engineer with 3–5 years of experience building cloud-native solutions and orchestrating cross-functional efforts. You combine hands-on engineering depth with the creativity and product intuition to shape solutions that make sense for real users and enterprises. You’re as comfortable writing production code as you are whiteboarding system designs, facilitating a client workshop, or mapping a product roadmap. You thrive in ambiguity and act as a bridge between vision and execution.

The Work

You’ll embed directly with clients — acting as technologist, product thinker, and trusted advisor. You’ll orchestrate diverse stakeholders, align technical tradeoffs with business goals, and creatively stitch together net-new platforms and workflows. Often, you’ll be shaping not only the what but also the why and how of AI-native systems that must operate reliably at enterprise scale.

Responsibilities

• Product Orchestration: Partner with business and technical stakeholders to frame problems, align priorities, and translate needs into orchestrated AI workflows.
• Agent Architecture & Engineering: Design and engineer enterprise-ready AI agents — including retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Creative Problem Solving: Prototype novel solutions that blend technical rigor with human-centered product thinking.
• AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and enablement.
• Cloud-Native Product & Software Engineering: Apply containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to create and integrate scalable AI-native systems.
• Domain-Specific Workflows: Tailor and deploy agentic applications across industry verticals (e.g. finance, healthcare, retail) — addressing domain-specific processes via intelligent automation.
• Storytelling & Communication: Lead design workshops, POCs, and code-with sessions; communicate technical tradeoffs and solution impact clearly to both executives and engineers.
• Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
• Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.

Here’s What You Need

• 3–5 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• Strong experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
• Strong programming experience in Python, Java, C# or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• Experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• Excellent client communication and collaboration skills — able to orchestrate across stakeholders, run design workshops, and deliver under ambiguity.
• A creative, product-oriented mindset — you don’t just code solutions, you design experiences that stick.
• Bachelor’s degree in Computer Science, Engineering, or equivalent; additional AI certifications or agentic tool experience is a plus.

Bonus Points If

• You’ve served as a Product Engineer, Solutions Architect, or Agentic AI Engineer in an enterprise environment.
• You’ve defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures.
• You master the AI-native paradigm — blending cloud-native with generative model architectures — optimizing for performance, modularity, and efficiency.
• You’ve delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs.
• You’ve demonstrated creative solutioning (e.g., hackathons, product incubation, startup experience).

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Erklärung zur Chancengleichheit am Arbeitsplatz

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