AI Engineer - FDE Software Engineering Sr. Manager

Accenture is building AI-native capabilities with clients, and this role supports that mission through the design, build, and deployment of agentic workflows and AI-native systems in enterprise environments. You will work onsite in New York, NY and contribute to end-to-end agent architecture, platform integration, and cloud-native engineering, including client-facing proof of concepts and code-with sessions.

Compensation: USD 122,700 - 302,400 per year.

What You’ll Do

• Design and engineer enterprise-ready AI agents covering retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Build provider-agnostic abstraction layers across AI platforms such as Anthropic, Google, and OpenAI to enable smooth integration and enablement.
• Deliver scalable AI-native systems using Kubernetes and Docker, microservices, serverless, event-driven architectures, CI/CD, and observability.
• Tailor and deploy agentic applications across verticals including finance, healthcare, and retail, focusing on domain-specific process automation.
• Run design workshops, POCs, and code-with sessions with stakeholders to shape data-driven agent workflows and support trust and adoption.
• Define and use key metrics, test harnesses, and evaluation plans to measure accuracy, latency, safety, and cost effectiveness.
• Create reusable patterns, documentation, and best practices that influence internal assets and client roadmaps.

Skills and Experience

• Minimum 10 years of end-to-end software engineering experience and SDLC expertise.
• Minimum 8 years in programming with Python, Java, or equivalent, plus familiarity with evaluation tooling, logging, monitoring, and agent observability.
• Minimum 8 years deploying to production, including 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 building cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum 3 years working with AI platforms (OpenAI, Claude, plus open-source models), including 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 (agents, orchestration, context engineering, RAG, workflows) in production environments.
• Bachelor’s degree or equivalent with minimum 12 years work experience (or Associate Degree with 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

Benefits

• Medical, dental, vision, life, and long-term disability coverage
• 401(k) plan
• Bonus opportunities
• Paid holidays
• Paid time off

Travel: Travel may be required for this role, varying from 0 to 100% depending on business need and client requirements.

Bonus Points If You Have

• 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, including optimizing for performance, modularity, and efficiency
• Delivered solutions across multiple industries (for example, finance, healthcare) by tailoring agentic workflows to industry needs