AI Native Software Engineer
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Key skills for this role
About the Role
Accenture is seeking an AI Native Engineer to design and deploy enterprise-ready AI agents and cloud-native solutions. The role involves building agentic workflows, integrating AI platforms, and collaborating with clients to operationalize AI.
Key Skills for This Role
Responsibilities
- Design and build enterprise ready AI agents incorporating retrieval, orchestration, policy based routing, tool invocation, evaluation harnesses, and lifecycle observability
- Develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.)
- Leverage containerization, microservices, serverless, event driven architectures, CI/CD, and observability stacks to deliver scalable AI native systems
- Tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail)
- Participate in and/or lead design workshops, POCs, and code with sessions
- Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness
- Craft reusable patterns, documentation, and best practices
Requirements
- Strong foundation in building cloud native solutions
- Hands on experience designing and deploying agentic systems for enterprise environments
- Experience with containerization (Kubernetes, Docker), microservices, serverless, event driven architectures, CI/CD, and observability stacks
- Ability to travel 25% to 75% depending on business need
Full Job Posting
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.
You are
- An AI Native Engineer with a strong foundation in building cloud native solutions and hands on experience designing and deploying agentic systems, especially for enterprise environments.
The Work
- You’ll partner directly with client stakeholders — acting as both technologist and trusted advisor.
- Design and build enterprise ready AI agents incorporating retrieval, orchestration, policy based routing, tool invocation, evaluation harnesses, and lifecycle observability.
- Implement resilient, testable, and maintainable agentic workflows that can be iterated on quickly.
- Develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi provider enablement.
- Contribute to shared libraries, SDKs, and patterns that can be reused across clients.
- Leverage containerization (Kubernetes, Docker), microservices, serverless, event driven architectures, CI/CD, and observability stacks to deliver scalable AI native systems.
- Own deployment, monitoring, and troubleshooting for your services in production.
- Tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail), adapting to domain specific processes and constraints.
- Work closely with client SMEs to translate business workflows into agentic solutions.
- Participate in and/or lead design workshops, POCs, and code with sessions to shape data driven agent workflows with stakeholders, fostering trust and adoption.
- Communicate trade offs, risks, and recommendations clearly to both technical and non technical audiences.
- Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
Travel
- Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.
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