About this opportunity
Accenture lists this AI Engineer - FDE Software Engineering Sr. Manager opportunity in new york, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Accenture is seeking an AI Native Engineer to embed with clients and help design, build, and deploy agentic workflows and AI-native systems in enterprise environments. The work spans end-to-end agent architecture, platform integration, and cloud-native engineering, with hands-on client engagement through POCs and code-with sessions.
What you'll do
Design and engineer enterprise-ready AI agents including retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
Build abstraction layers across AI providers such as Anthropic, Google, OpenAI , and others to support seamless integration and enablement.
Use containerization and cloud-native patterns including Kubernetes, Docker , microservices, serverless, and event-driven architectures, along with CI/CD and observability to deliver scalable AI-native systems.
Tailor and deploy agentic applications across verticals such as finance, healthcare, and retail , addressing domain-specific processes through intelligent automation.
Run design workshops , POCs , and code-with sessions to shape data-driven agent workflows with stakeholders and support trust and adoption.
Define and apply key metrics, test harnesses, and evaluation plans to assess accuracy, latency, safety, and cost effectiveness .
Create reusable patterns, documentation, and best practices that can influence internal assets and client roadmaps.
Requirements
10+ years of end-to-end software engineering experience and SDLC expertise.
8+ years with programming in Python, Java, or equivalent , plus familiarity with evaluation tooling, logging, monitoring, and agent observability.
8+ years deploying to production, including CI/CD , infrastructure as code (Terraform, Helm), monitoring, and debugging.
8+ years in client communication and collaboration, including leading technical workshops and delivering under ambiguity.
3+ years engineering cloud-native systems, including APIs, microservices, containerization, and serverless.
3+ years working with AI platforms such as OpenAI and Claude , and open-source models, including building abstraction layers to manage multi-provider pipelines.
2+ years hands-on experience designing and delivering Agentic AI solutions.
1.5+ years experience with semantic models, ontologies, knowledge graphs, or enterprise knowledge.
1.5+ years experience using coding agents and AI-assisted software development.
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 Associate Degree, must have minimum 6 years work experience.
Technologies
Python, Java, Anthropic, Google, OpenAI, Claude
Kubernetes, Docker
Microservices, serverless, event-driven architectures
CI/CD, observability, Terraform, Helm
APIs, open-source models
Semantic models, ontologies, knowledge graphs
RAG, AI agents
Location and role details
Location: New York, NY (onsite)
Compensation: USD 122,700 - 302,400 per year
Travel: Travel may be required for this role, varying from 0 to 100% based on business need and client requirements.
Benefits
Medical, dental, vision, life, and long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off
Bonus points
Experience as an Agentic AI Engineer in an enterprise environment
Additional AI certifications or agentic tool experience
Experience defining or working with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures
Understanding of the AI-native paradigm, blending cloud-native with generative model architectures optimized for performance, modularity, and efficiency
Delivered solutions across multiple industries (for example, finance and healthcare) by tailoring agentic workflows to industry needs
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.