Advanced AI Applications Senior Manager
accentureDenver (CO)
Advanced AI Applications Senior Manager
Posted today
accentureDenver (CO)
SENIORITY
Lead
About the role
Overview:
In this role you will lead the design, development, and scaling of enterprise AI applications across the client’s digital core. You will work within the Data & AI organization to integrate AI technologies into business processes, data platforms, and decision-making systems, ensuring governance, security, and measurable outcomes. You’ll collaborate with cross‑functional teams to deliver AI-powered solutions at scale in cloud environments. This role offers the opportunity to shape how organizations leverage GenAI, agentic AI, and classical AI across critical functions. Compensation / Benefits medical coverage dental coverage vision coverage life insurance long-term disability 401(k) plan
Responsibilities:
Design and implement enterprise AI solutions combining classical ML and advanced AI architectures Develop AI-powered applications for customer service and enterprise functions (e.g., Supply Chain, Finance, HR, IT) Build Retrieval-Augmented Generation (RAG) and Agentic AI solutions integrated with enterprise systems Design intelligent workflows with AI agents capable of reasoning and task execution Create reusable AI accelerators following Build Once, Scale Many Times principles Implement agent governance, observability, and human-in-the-loop controls Establish scalable, secure AI architectures across cloud platforms (Azure, AWS, Google Cloud)
Key requirements:
8+ years of experience in AI/ML/Data Science/AI Engineering/AI Consulting with enterprise transformation experience 5+ years hands-on with Anthropic Claude and OpenAI GPT models, LLMs, and agentic/ multi-agent architectures Bachelor’s degree or equivalent (minimum 12 years of work experience) Production-grade AI development and intelligent automation experience Strong consulting and stakeholder management skills Proficiency in Python, SQL, APIs and integration frameworks Experience with vector databases, embedding models, semantic search, data pipelines, and cloud-native architectures Knowledge of AI orchestration and workflow frameworks Strong communication and stakeholder management Consulting mindset with ability to translate business needs into AI solutions Collaborative and cross-functional teamwork orientation Python SQL APIs
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