Senior AI Engineer Manager – Agentic AI & Cloud-Native

Accenture; Boston (MA); On-site; USD 133,000 - 278,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Job summary

Accenture is seeking an AI Native Engineer with 3+ years of experience leading cloud-native AI agent projects in enterprise environments. The role focuses on designing, building, and running agentic workflows that integrate multiple AI platforms and run at scale within modern infrastructure.

You will embed with clients as a technologist and trusted advisor, defining use cases, prototyping quickly, and deploying robust, secure agentic solutions across industries.

Qualifications

• Minimum 10 years' experience with end-to-end software engineering and SDLC expertise.
• Minimum 8 years' experience in the following: 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.
• With client communication and collaboration, including leading technical workshops and delivering under ambiguity.
• Minimum of 3 years’ experience in cloud-native systems (APIs, microservices, containerization, serverless).
• With AI platforms — OpenAI, Claude, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
• Minimum of 2 years of hands-on experience delivering Agentic AI solutions.
• Minimum of 1.5 years' experience in semantic models, knowledge graphs, or enterprise knowledge.
• Using coding agents and AI-assisted software development.
• Minimum of 1 year expertise in designing and deploying agentic solutions in production environments.
• Bachelor's degree or equivalent (minimum 12 years) work experience.

Responsibilities

• Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents with 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 (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 — 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

Python

Java

Cloud-native

Kubernetes

Terraform

OpenAI

Education

Bachelor's degree or equivalent

Tools

Terraform

Helm

OpenAI

Anthropic

Job description

Accenture is seeking an AI Native Engineer with 3+ years of experience leading cloud-native AI agent projects in enterprise environments. The role focuses on designing, building, and running agentic workflows that integrate multiple AI platforms and run at scale within modern infrastructure.

You will embed with clients as a technologist and trusted advisor, defining use cases, prototyping quickly, and deploying robust, secure agentic solutions across industries.