AI Native Engineer Senior Analyst - Reinvention Center

Accenture

Hybrid

Quick summary

Work type
Hybrid
Location
Columbus, OHTampa, FLAtlanta, GADallas, TXScottsdale, AZ
Posted
3 days ago
Nearby
99+ roles within 25 mi

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Similar $207k
$157k most similar roles pay here $268k

This listing doesn't post a salary. Most similar roles pay $167,650–$246,150.

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About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 129 open roles on FindRole.

Listed pay typically runs $94,400–$220,400 across 88 roles with salary data.

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At a glance

TL;DR · AI Native Engineer Senior Analyst - Reinvention Center

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As an AI Native Engineer at Accenture, you will join a dynamic team in Columbus, OH, working on cutting-edge cloud-native solutions for enterprise clients. Your role involves designing and deploying agentic systems that augment workflows across various industries such as finance, healthcare, and retail. You will build abstraction layers to integrate multiple AI providers, develop scalable microservices architectures using Kubernetes and Docker, and engage with clients through workshops and proof-of-concepts to foster adoption of AI-native engineering practices. Essential skills include hands-on experience in cloud-native systems, agentic solutions, modern AI platforms, and strong programming abilities in Python or Java. You must also excel in client communication and have a background in building 12-factor applications and Infrastructure as Code.

Skills

Python Kubernetes Docker CI/CD Terraform Helm OpenAI Anthropic Google Vertex AI RAG Lang-graph Crew AI Claude SDK PostgreSQL Java APIs microservices serverless event-driven architectures GitHub

What you'll do

  • Design and engineer enterprise-ready AI agents with retrieval, orchestration, and policy-based routing.
  • Develop abstraction layers for seamless integration of multiple AI providers in client environments.
  • Tailor agentic applications to specific industry workflows like finance or healthcare.
  • Conduct design workshops and proof-of-concept sessions to shape data-driven agent workflows.
  • Define key metrics and evaluation plans to measure the accuracy and cost-effectiveness of agents.

What we're looking for

  • Minimum 2 years of engineering experience with cloud-native systems.
  • At least 1 year of hands-on experience designing and deploying agentic solutions in production environments.
  • Strong Python or Java skills for building 12-factor applications and Infrastructure as Code.
  • Experience with modern AI platforms and abstraction layers for multi-provider pipelines.
  • Minimum 3 years of client-facing communication and collaboration experience.
  • Bachelor's degree in Computer Science, Engineering, or equivalent work experience.

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