Advanced AI Applications Senior Manager

Accenture

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Chicago, ILMilwaukee, WIDallas, TXColumbus, OHKirkland, WACincinnati, OHNew York, NYCleveland, OHOklahoma City, OKAustin, TXAlbany, NYSt. Pete, FLHartford, CTPittsburgh, PASt. Louis, MOMiami, FLSacramento, CARaleigh, NCMinneapolis, MNMountain View, CAScottsdale, AZSan Francisco, CAMorristown, NJDenver, COBoston, MAPhiladelphia, PADes Moines, IAOverland Park, KSLos Angeles, CACharlotte, NCWalnut Creek, CACarmel, CASeattle, WAHouston, TXArlington, TXAtlanta, GAOrlando, FLRedmond, WABentonville, ARBeaverton, ORNashville, TNDetroit, MISan Diego, CA
Salary: $132,500–$338,300 / yr
Employment: Full-time
Posted: 5 days ago
Freshness: Confirmed live yesterday
Closes: Nov 30, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k

This role $235k

$108k $363k

below market most similar roles pay here above market

This role pays more than 77% of similar roles. Most pay $154,488–$232,225 — the blue band above. At the midpoint, this role pays about $235k versus about $193k 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 231 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 182 roles with salary data.

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View all roles at Accenture

At a glance

TL;DR · Advanced AI Applications Senior Manager

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The Advanced AI Applications Senior Manager joins the Data & AI organization to drive the integration of artificial intelligence across the enterprise digital core. This role involves designing, building, and scaling intelligent business applications that transform core processes in areas like Supply Chain, Finance, and HR. You will develop Retrieval-Augmented Generation (RAG) architectures, Agentic AI solutions, and autonomous business workflows featuring multi-agent collaboration and goal-based reasoning. Key responsibilities include implementing machine learning models, optimizing prompt engineering, and establishing reusable AI accelerators. The position requires hands-on expertise with Anthropic Claude, OpenAI GPT models, Python, SQL, and APIs. You will utilize Vector Databases, Embedding Models, and Semantic Search platforms across Azure, AWS, and Google Cloud to solve complex enterprise problems while ensuring scalability, governance, and measurable business outcomes.

Skills

Generative AI Agentic AI Retrieval-Augmented Generation (RAG) Large Language Models (LLMs) Python SQL Azure AWS Google Cloud Vector Databases Knowledge Graphs NLP Machine Learning Prompt Engineering APIs Data Engineering Pipelines Cloud-Native Architectures Semantic Search

What you'll do

Design and implement enterprise AI solutions using classical machine learning and advanced AI architectures.
Build AI-powered applications for customer service, supply chain, finance, HR, and other enterprise functions.
Develop Retrieval-Augmented Generation (RAG) and Agentic AI solutions integrated with enterprise systems.
Design intelligent workflows using AI agents capable of reasoning, planning, and executing business tasks.
Establish reusable AI accelerators and multi-agent collaboration frameworks for scalable deployment.
Implement end-to-end ML lifecycle management including feature engineering, model tuning, and evaluation.
Build enterprise knowledge systems using vector databases, knowledge graphs, and semantic search.
Develop AI evaluation and benchmarking frameworks to ensure governance, security, and measurable outcomes.

What we're looking for

Minimum of 8 years of experience in AI, Machine Learning, Data Science, AI Engineering, or AI Consulting.
Minimum of 5 years of hands-on experience with Anthropic Claude, OpenAI GPT, LLMs, and Agentic AI frameworks.
Bachelor's degree or equivalent (minimum 12 years work experience); Associate Degree requires minimum 6 years work experience.
Experience building production-grade AI applications and intelligent automation solutions.
Strong programming experience in Python, SQL, APIs, and Integration Frameworks.
Experience with Vector Databases, Embedding Models, Semantic Search Platforms, and Data Engineering Pipelines.
Knowledge of AI orchestration, workflow frameworks, and cloud-native architectures (Azure, AWS, or Google Cloud).

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