Advanced AI Architect

Accenture

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Morristown, NJMilwaukee, WIDallas, TXColumbus, OHKirkland, WA
Salary
$94,400–$293,800 / yr
Posted
85 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $198k
This role $194k
$70k most similar roles pay here $318k

This role pays more than 52% of similar roles. Most pay $159,562–$235,750 — the shaded band above. At the midpoint, this role pays about $194k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

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 192 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 165 roles with salary data.

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View all roles at Accenture

At a glance

TL;DR · Advanced AI Architect

As an Advanced AI Architect, you will join the team to design and deliver full-stack AI architecture for platforms, products, or engagements across public, private, or sovereign clouds. You will be responsible for building enterprise-grade solutions focused on scalability, security, governance, and performance while developing proof-of-concepts to solve complex business problems. Your daily work involves leading technical design workshops, evaluating technology stacks, and creating TCO models to ensure financial viability. You will specifically design and implement multi-agent architectures, knowledge graphs, semantic layers, AgentOps, and LLMOps solutions. The role requires expertise in Generative AI, Foundation Models, Knowledge and Data Engineering, and cloud-native AI services. You will utilize these tools to build reusable components and optimize the performance of advanced systems while ensuring robust security and observability across the entire AI infrastructure.

What you'll do

  • Design and deliver full-stack AI architecture for platforms, products, or engagements on public, private, or sovereign clouds.
  • Lead technical design workshops to define architectural requirements and select technologies for AI systems.
  • Develop TCO models and estimate timelines, costs, and roadmaps for deploying AI solutions.
  • Create blueprints for multi-agent, security, runtime, governance, and infrastructure components of AI systems.
  • Design knowledge architectures using knowledge graphs and semantic layers to enable AI agents.
  • Implement AgentOps, LLMOps, and AI observability solutions to ensure performance and reliability.
  • Build reusable AI components, agent patterns, and solution designs for enterprise-grade platforms.
  • Troubleshoot and optimize the performance of AI systems, agents, and infrastructure.

What we're looking for

  • Must have a Bachelor's degree or equivalent of 12 years of experience.
  • Must have an Associate's degree with at least 6 years of work experience if a Bachelor's is not held.
  • Minimum of 2 years of experience designing and implementing scaled Agentic AI and Generative AI solutions in operations.
  • Minimum of 2 years of experience designing and implementing Agentic AI and Generative AI platforms used by multiple solutions.
  • Minimum of 5 years of experience designing, engineering, and operationalizing large-scale AI/ML solutions on at least one major public cloud platform.
  • Must have at least 5 years of expert-level understanding of key AI technologies from public cloud providers, open source, and third-party tools.
  • Must be able to travel between 0% and 100% based on business needs and client requirements.

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