Accenture is seeking an AI Native Engineer to design, build, and deploy agentic workflows and AI-native systems for enterprise clients in New York.

Design and engineer enterprise-ready AI agents including retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability
Build provider abstraction layers across Anthropic, Google, OpenAI (and others) to integrate and enable multi-provider agent pipelines
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 (examples: finance, healthcare, retail) by automating domain-specific processes
Run design workshops, POCs, and code-with sessions with stakeholders to shape data-driven agent workflows and drive 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 influence internal assets and client roadmaps

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

Travel may be required; amount varies from 0 to 100% depending on business need and client requirements

Served as an Agentic AI Engineer in an enterprise environment
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
Understands the AI-native paradigm blending cloud-native with generative model architectures to optimize performance, modularity, and efficiency
Delivered solutions across multiple industries (examples: finance, healthcare) by tailoring agentic workflows to industry needs

Location: New York, NY (onsite)
Estimated salary: USD 122,700 - 302,400 per year

AI Engineer - FDE Software Engineering Sr. Manager

Job Description