AI-Native Engineering Manager: Enterprise Agent Platforms

Accenture; Austin (TX); On-site; USD 140,000 - 260,000; Full time

Job summary

Accenture is seeking an AI Native Engineer with 5+ years of experience to design and deploy agentic workflows inside enterprise environments. You will embed with clients, prototype rapidly, and deliver robust, secure AI-enabled platforms across complex domains.

Expect collaboration with stakeholders, workshops, and multi-provider AI integrations. You will drive architecture, orchestration, and observability, leveraging Kubernetes, Docker, CI/CD, and cloud-native best practices to scale AI-native

Qualifications

• Minimum of 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum of 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• Minimum of 2 years experience with AI platforms (OpenAI, Claude, Vertex AI) plus open-source models, including building abstraction layers to manage multi-provider pipelines.
• Minimum of 5 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• Minimum of 5 years experience deploying to production – CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• Minimum of 5 years experience with client communication and collaboration, including leading technical workshops in ambiguous environments.
• Bachelor’s degree or equivalent (minimum 12 years) work experience or 6 years if Associate Degree.

Responsibilities

• Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents with retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and observability.
• AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) for seamless multi-provider pipelines.
• Cloud-Native Engineering: Use Kubernetes, Docker, microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems.
• Domain-Specific Workflows: Tailor and deploy agentic applications across verticals like finance, healthcare, and retail.
• Client Engagement: Run design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders.
• Measure & Improve: Define metrics, test harnesses, and evaluation plans for agent accuracy, latency, safety, and cost.
• Knowledge Sharing: Create reusable patterns, docs, and best practices to influence internal assets and client roadmaps.

Skills

Cloud-native engineering

Agentic AI engineering

Python

Java

AI platforms (OpenAI, Claude, Vertex)

Kubernetes

Docker

CI/CD

Logging & monitoring

Education

Bachelor’s degree or equivalent

Tools

Kubernetes

Docker

Terraform

Helm

Job description

Accenture is seeking an AI Native Engineer with 5+ years of experience to design and deploy agentic workflows inside enterprise environments. You will embed with clients, prototype rapidly, and deliver robust, secure AI-enabled platforms across complex domains.

Expect collaboration with stakeholders, workshops, and multi-provider AI integrations. You will drive architecture, orchestration, and observability, leveraging Kubernetes, Docker, CI/CD, and cloud-native best practices to scale AI-native