Senior AI Engineer: Enterprise Agentic Systems

Information Technology Senior Management Forum; New York (NY); On-site; USD 123,000 - 302,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking an AI Native Engineer to design, build, and run enterprise-ready agentic AI systems for client environments in New York, NY. This onsite role embeds with clients to define use cases, prototype quickly, and deploy robust AI-native workflows that scale.

You will design enterprise-grade AI agents with retrieval, orchestration, tool invocation, and evaluation harnesses, while building abstraction layers across providers like Anthropic, Google, and OpenAI.

Qualifications

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

Responsibilities

• Design and engineer enterprise-ready AI agents including retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and observability.
• Build abstraction layers across AI providers (Anthropic, Google, OpenAI) for seamless integration.
• Use containerization and cloud‑native patterns (Kubernetes, Docker, microservices, serverless) with CI/CD and observability to deliver scalable systems.
• Tailor and deploy agentic applications across finance, healthcare, and retail sectors with intelligent automation.
• Lead design workshops, proofs of concept, and code-with sessions to shape data‑driven agent workflows with stakeholders.
• Define and apply metrics, test harnesses, and evaluation plans to measure accuracy, latency, safety, and cost effectiveness.
• Create reusable patterns, documentation, and best practices influencing internal assets and client roadmaps.

Skills

Python

Java

AI expertise

Cloud-native

Education

Bachelor’s degree or equivalent

Tools

Kubernetes

Docker

Terraform

Helm

CI/CD

Job description

Accenture is seeking an AI Native Engineer to design, build, and run enterprise-ready agentic AI systems for client environments in New York, NY. This onsite role embeds with clients to define use cases, prototype quickly, and deploy robust AI-native workflows that scale.

You will design enterprise-grade AI agents with retrieval, orchestration, tool invocation, and evaluation harnesses, while building abstraction layers across providers like Anthropic, Google, and OpenAI.