below marketmost similar roles pay hereabove market
This role pays less than
69%
of similar roles. Most pay
$195,000–$251,000
— the blue band above.
At the midpoint, this role pays about
$205k
versus about
$223k
for comparable roles.
Based on 240 similar postings.
Employer
About Accenture
Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.
Accenture currently has
174 open roles
on FindRole.
Listed pay typically runs
$94,400–$266,300
across 128 roles with salary data.
The AI Native Software Engineering Manager joins the Advanced Technology Centers team to lead multidisciplinary groups in building and operating production systems. You will own the technical solution from architecture through production, transforming ambiguous requirements into executable increments and measurable outcomes. Responsibilities include designing distributed systems, provisioning cloud infrastructure, building CI/CD pipelines, and developing agentic AI capabilities. You will utilize technologies such as Java, Python, Go, TypeScript/JavaScript, Docker, Kubernetes, and Terraform across AWS, Azure, or GCP. The role focuses on engineering cloud-native platforms, managing data flows across relational and non-relational stores, and integrating frontier models from OpenAI, Anthropic, Microsoft, Google, and AWS. You will solve complex business problems by creating trustworthy, production-grade AI systems while using AI-native development techniques to improve engineering throughput and system operations.
Own the technical solution for ambiguous business problems from initial architecture through production deployment.
Design and build production systems across front end, APIs, backend services, data, and infrastructure.
Deploy cloud-native workloads using containers, Kubernetes, serverless, and infrastructure as code.
Build automated CI/CD pipelines including security scanning, policy enforcement, and release controls.
Design and implement AI capabilities and agentic systems using frontier models and production safeguards.
Engineer data flows for AI systems including retrieval, embeddings, and context management.
Lead multidisciplinary engineering teams and set technical standards for software, cloud, and AI.
Translate client requirements into executable increments and measurable outcomes while acting as a trusted advisor.
What we're looking for
Minimum of 8 years of professional software engineering experience building and operating production systems.
Minimum of 5 years of hands-on experience across the stack, including front end, APIs, services, integration, persistence, and asynchronous processing.
Minimum of 5 years of programming experience in Java, Python, Go, TypeScript/JavaScript, or C#.
Minimum of 3 years of hands-on production experience with AWS, Azure, or GCP, including Docker, Kubernetes, and Terraform or Helm.
Minimum of 3 years of experience designing and operating CI/CD pipelines with automated testing and integrated security controls.
Minimum of 1 year of experience designing and deploying AI-enabled or agentic systems in production or near-production environments.
Minimum of 1 year of experience applying AI-native engineering tools and workflows to day-to-day software development.
Minimum of 3 years of experience leading engineering teams or significant technical workstreams, including client-facing discussions.
Bachelor's degree, or equivalent (minimum 12 years work experience), or Associate's degree with minimum 6 years work experience.
Built multi-agent orchestrations using frameworks such as LangGraph, Crew AI, the Claude Agent SDK, or the OpenAI SDK (preferred).
Relevant cloud, security, or AI certifications (preferred).
Python
Java
RAG
Kubernetes
Docker
Terraform
Helm
CI/CD
OpenAI
Claude
Vertex AI
Microservices
Serverless
Event-driven Architecture
APIs
Observability
Infrastructure as Code
Agentic Workflows
Gen AI