Senior AI & Software Engineering Lead

Accenture PLC; Columbus (OH); On-site; USD 123,000 - 242,000; Full time

Job summary

Accenture is seeking an AI Native Engineer with extensive experience building cloud-native solutions and designing agentic systems for enterprise environments. You will design, build, and run custom AI agents that augment workflows and scale across modern infrastructure.

You will embed with clients as a technologist and trusted advisor, defining use cases, prototyping, and deploying agentic workflows that are robust, secure, and production-ready across complex environments.

Qualifications

• 10 years' experience with end-to-end software engineering and SDLC expertise.
• Minimum 8 years' experience in cloud-native systems (APIs, microservices, containerization, serverless).
• Programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• Deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• Hands-on experience with OpenAI, Claude, and other AI platforms; building abstraction layers to manage multi-provider pipelines.
• Minimum of 2 years of hands-on experience designing and delivering Agentic AI solutions.
• Minimum of 1.5 years' experience with semantic models, knowledge graphs, or enterprise knowledge.

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 to enable seamless integration and enablement.
• Cloud-Native Engineering: Leverage containerization, 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

Software engineering

Cloud-native engineering

Python/Java

AI platforms

Education

Bachelor's degree or equivalent

Tools

Terraform

Helm

Kubernetes

Docker

Job description

Accenture is seeking an AI Native Engineer with extensive experience building cloud-native solutions and designing agentic systems for enterprise environments. You will design, build, and run custom AI agents that augment workflows and scale across modern infrastructure.

You will embed with clients as a technologist and trusted advisor, defining use cases, prototyping, and deploying agentic workflows that are robust, secure, and production-ready across complex environments.