AI-Native Engineering Lead for Enterprise Agent Workflows

Accenture PLC; Austin (TX); On-site; USD 120,000 - 240,000; Full time

Job summary

Accenture is seeking an AI Native Engineer with strong cloud-native capabilities to design, build, and deploy agentic AI systems for enterprise use. You will embed with clients as a technologist and trusted advisor, defining use cases, prototyping rapidly, and delivering robust workflows that integrate securely into complex environments.

Responsibilities span architecture, platform integration, and scalable deployments, with a focus on observability, governance, and cross-domain applicability.

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 being capable of leading technical workshops and delivering under ambiguity.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)

Responsibilities

• Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and enablement.
• Cloud-Native Engineering: Leverage containerization (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 — e.g., finance, healthcare, retail — addressing domain-specific processes via intelligent automation.
• Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
• 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.

Skills

Cloud-native

Agentic workflows

Python/Java

Client communication

Workshop facilitation

Education

Bachelor's degree or equivalent experience

Tools

Kubernetes

Docker

Terraform

CI/CD

Job description

Accenture is seeking an AI Native Engineer with strong cloud-native capabilities to design, build, and deploy agentic AI systems for enterprise use. You will embed with clients as a technologist and trusted advisor, defining use cases, prototyping rapidly, and delivering robust workflows that integrate securely into complex environments.

Responsibilities span architecture, platform integration, and scalable deployments, with a focus on observability, governance, and cross-domain applicability.