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AI Native Software Engineering Manager

Job in Morristown, Morris County, New Jersey, 07960, USA
Listing for: Accenture
Full Time position
Listed on 2026-07-20
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Overview

We are a forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows that scale in real-world settings. Our engineers embed with customers, moving projects from experimentation to operational reality.

Role

An AI Native Engineer with a minimum of 3 years of experience building cloud-native solutions and deep expertise in designing and deploying agentic systems for enterprise environments. You are a critical thinker who thrives in ambiguity and delivers concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure. You will help shape the playbook for how enterprises adopt and scale AI-native engineering globally.

Responsibilities
  • Agent Architecture and Engineering:
    Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
  • AI Platform Integration:
    Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and enablement.
  • Cloud-Native Engineering:
    Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems.
  • Domain-Specific Workflows:
    Tailor and deploy agentic applications across verticals (finance, healthcare, retail) addressing domain-specific processes via intelligent automation.
  • Client Engagement:
    Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
  • Measure & Improve:
    Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
  • Knowledge Sharing:
    Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.

Travel may be required. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

What You Need
  • Minimum of 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
  • Minimum of 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
  • Minimum of 3 years experience with AI platforms — OpenAI, Claude, Vertex AI, and open-source models — including building abstraction layers to manage multi-provider pipelines.
  • Minimum of 5 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
  • Minimum of 5 years experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
  • Minimum of 5 years experience with client communication and collaboration, including ability to lead technical workshops and deliver under ambiguity.
  • Bachelor s degree or equivalent work experience (minimum 12 years). If Associate Degree, must have minimum 6 years work experience.
Bonus Points
  • You’ve served as an Agentic AI Engineer in an Enterprise environment
  • Additional AI certifications or agentic tool experience is a plus
  • You’ve defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures
  • You understand the AI-native paradigm — blending cloud-native with generative model architectures — optimizing for performance, modularity, and efficiency
  • You’ve delivered solutions across multiple industries by tailoring agentic workflows to industry needs
Compensation & Benefits

Compensation varies by location, role, skill set, and experience. Accenture provides a reasonable compensation range as required by local law. Benefits include medical, dental, vision, life, long-term disability, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture

Role location: various locations with salary ranges published per location (examples…

Position Requirements
5+ Years work experience
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