Accenture is seeking an AI Native Engineer to design, build, and run enterprise-ready, agentic AI systems for client environments.

Design and engineer enterprise-ready AI agents with retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability
Build abstraction layers across AI providers (including Anthropic, Google, OpenAI, and others) to support seamless integration and enablement
Deliver scalable AI-native systems using containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability
Tailor and deploy agentic applications across verticals such as finance, healthcare, and retail by applying intelligent automation to domain-specific processes
Run design workshops, POCs, and code-with sessions to develop data-driven agent workflows with stakeholders and support trust and adoption
Define and apply key metrics, test harnesses, and evaluation plans to measure accuracy, latency, safety, and cost effectiveness
Create reusable patterns, documentation, and best practices to shape internal assets and client roadmaps

Minimum 10 years experience with end-to-end software engineering and SDLC expertise
Minimum 8 years experience in:
- Programming in Python, Java, or equivalent
- Familiarity with evaluation tooling, logging, monitoring, and agent observability
Minimum 8 years experience in:
- Production deployment including CI/CD
- Infrastructure as code (including Terraform, Helm)
- Monitoring and debugging
Minimum 8 years experience in client communication and collaboration, including leading technical workshops and delivering under ambiguity
Minimum 3 years experience in cloud-native systems (APIs, microservices, containerization, serverless)
Minimum 3 years experience with AI platforms (OpenAI, Claude, plus open-source models), including building abstraction layers to manage multi-provider pipelines
Minimum 2 years hands-on experience designing and delivering Agentic AI solutions
Minimum 1.5 years experience with semantic models, ontologies, knowledge graphs, or enterprise knowledge
Minimum 1.5 years experience using coding agents and AI-assisted software development
Minimum 1 year expertise designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments
Bachelor’s degree or equivalent (minimum 12 years work experience); if an Associate Degree, minimum 6 years work experience

Medical, dental, vision, life, and long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off
Compensation varies depending on factors such as office location, role, skill set, and level of experience

Served as an Agentic AI Engineer in an Enterprise environment
Have additional AI certifications or agentic tool experience
Defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures
Understand the AI-native paradigm blending cloud-native with generative model architectures to optimize for performance, modularity, and efficiency
Delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs

Accenture is committed to equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed
To request accommodation, call toll free 1 (877) 889-9009 or send an email or speak with your recruiter

Location: New York, NY (onsite)

Salary: USD 122,700 - 302,400 per yearly

Experience level: Minimum 10 years

AI Engineer - FDE Software Engineering Sr. Manager

Job Description