Job Description

AI Native Software Engineering Manager|Accenture

Accenture is a forwardthinking services company at the forefront of AInative innovation, partnering with enterprise clients to create nextgeneration, agentpowered workflows engineered to scale in realworld settings.

We are:

We partner with enterprise clients to create nextgeneration, agentpowered workflows engineered to scale in realworld settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.

You are:

An AI Native Engineer with a minimum of 3years of experience building cloudnative solutions and deep expertise in designing and deploying agentic systems, especially for enterprise environments. You are a critical thinker that thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure.

The Work:

Youll embed directly with clients acting as both technologist and trusted advisor. Youll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be completely new platforms and systems that need to be stitched together in our clients environments alongside our ecosystem partners.

Responsibilities

• Agent Architecture and Engineering: Design and engineer enterpriseready AI agents encompassing retrieval, orchestration, policybased 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.
• CloudNative Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, eventdriven architectures, CI/CD, and observability to deliver scalable AInative systems.
• DomainSpecific Workflows: Tailor and deploy agentic applications across verticals e.g., finance, healthcare, retail addressing domainspecific processes via intelligent automation.
• Client Engagement: Conduct design workshops, POCs, and codewith sessions to shape datadriven 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.

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

Heres What You Need

• Minimum of 3years engineering experience with cloudnative systems (APIs, microservices, containerization, serverless).
  
• Minimum of 1year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
  
• Minimum of 3years experience with AI platforms (OpenAI, Claude, Vertex AI, plus opensource models) including building abstraction layers to manage multiprovider pipelines.
  
• Minimum of 5years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
  
• Minimum of 5years experience deploying to production CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
  
• Minimum of 5years experience with client communication and collaboration, including leading technical workshops and delivering under ambiguity.
  
• Bachelors degree or equivalent (minimum 12years) work experience. (If Associate Degree, must have minimum 6years work experience).
  

Bonus Points If

• Youve served as an Agentic AI Engineer in an Enterprise environment.
  
• Additional AI certifications or agentic tool experience is a plus.
  
• Youve defined or worked with enterprisegrade architectures for compound AI systems, orchestration frameworks, or agent registry/streambased architectures.
  
• You understand the AInative paradigm blending cloudnative with generative model architectures optimizing for performance, modularity, and efficiency.
  
• Youve delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs.
  

Compensation

Compensation varies depending on a wide array of factors, including location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

Equal Employment Opportunity Statement

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accenture is an EEO and affirmative action employer of veterans/individuals with disabilities. For more information, see the Accenture Equal Opportunity Statement.

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