AI Engineer - FDE Software Engineering Sr. Manager

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. This onsite role in New York, NY focuses on embedding with clients to define use cases, prototype quickly, and deploy robust, measurable AI-native workflows that can be adopted and scaled.

What you’ll do

• Design and engineer enterprise-ready AI agents that include retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Build abstraction layers across AI providers such as Anthropic, Google, and OpenAI to support seamless integration and enablement.
• Use containerization and cloud-native delivery patterns, including Kubernetes, Docker, microservices, serverless, and event-driven architectures, alongside CI/CD and observability to deliver scalable systems.
• Tailor and deploy agentic applications across verticals such as finance, healthcare, and retail, applying intelligent automation to domain‑specific processes.
• Run design workshops, proofs of concept, and code‑with sessions to shape data‑driven agent workflows with stakeholders, supporting 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 that influence internal assets and client roadmaps.

Required experience

• 10+ years of end‑to‑end software engineering experience with 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 working with cloud‑native systems such as APIs, microservices, containerization, and serverless.
• 3+ years with AI platforms including OpenAI, Claude, and open‑source models, including building abstraction layers for multi‑provider pipelines.
• 2+ years designing and delivering Agentic AI solutions hands‑on.
• 1.5+ years with semantic models, ontologies, 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 environments.
• Bachelor’s degree or equivalent with at least 12 years of work experience (or Associate Degree plus 6 years work experience).

Technologies

• Python, Java
• Anthropic, Google, OpenAI, Claude, open‑source models
• Kubernetes, Docker
• Terraform, Helm
• CI/CD
• microservices, serverless, event‑driven architectures
• observability, logging, monitoring, debugging
• orchestration, policy‑based routing, tool invocation, retrieval
• semantic models, ontologies, knowledge graphs, RAG, APIs
• infrastructure as code
• tooling supporting evaluation and agent observability

Compensation and benefits

Salary range: USD 122,700 - 302,400 per year. Compensation varies based on factors such as office location, role, skill set, and level of experience.

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

Bonus points if you have

• Experience as an Agentic AI Engineer in an enterprise environment
• Additional AI certifications or agentic tool experience
• Experience 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 systems with generative model architectures to optimize for performance, modularity, and efficiency
• Experience delivering across multiple industries such as finance and healthcare by tailoring agentic workflows to industry needs

Requesting an accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you would like to be considered for employment and have accommodation needs, call toll free at 1 [phone] or send an email or speak with your recruiter.