AI/ML Sr Architect - Forward Deployed Engineer · Reinvention Centers

Accenture•Columbus, OH

13d•$122,700 - $338,300•Hybrid

About The Position

The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs provide our clients with seamless access to industry insights and innovative technology solutions. The Advanced Technology Centers (ATCs) make a tremendous impact in solving our clients’ business problems by leveraging innovation, intelligence, industry insights, new IT, and new technology skills. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients. For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world. For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges. You are an AI/ML Sr Architect delivering full-stack AI architecture on public, private, or sovereign clouds. You architect enterprise-grade platforms using AI Agents, Generative AI, Foundation Models, and Knowledge & Data Engineering to solve complex business problems at scale.

Requirements

Minimum 10 years of experience in Python, Java, or equivalent.
Comfortable with evaluation tooling, logging, monitoring, and observability.
Minimum 6 years of experience with key AI technologies from public cloud providers, open source, and 3rd party tooling.
Minimum 4 years experience in designing, engineering, and operationalizing large-scale AI/ML solutions on at least one major public cloud, using cloud-native AI services and frameworks, open-source technologies, and 3rd party tools.
Minimum 4 years of hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, open-source), agentic orchestration tools (LangGraph, CrewAI, AutoGen), and MLOps/LLMOps practices across the ML and LLM lifecycle.
Minimum 3 years experience in designing and implementing scaled Agentic AI and Generative AI solutions that are in operations.
Minimum 3 years experience in designing and implementing Agentic AI and Generative AI platforms and frameworks used by multiple AI solutions.
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)

Responsibilities

Architect enterprise-ready AI agent systems: retrieval, orchestration, governance, evaluation, lifecycle observability.
Lead architecture workshops with client and Accenture teams; finalize requirements and TCO for AI solutions.
Evaluate, rationalize, and select technologies for full-stack AI platforms; build financial-viability models.
Design architectural blueprints (multi-agent, AI security, runtime, governance, DevOps, knowledge and data layer).
Design knowledge architecture (knowledge graphs, semantic layers) that enables AI agents at enterprise scale.
Architect for scalability, security, governance, and performance on public, private, and sovereign clouds.
Design reusable AI components, agents, and solution patterns for repeatable engagement delivery.
Architect and stand up custom agent frameworks across providers (Amazon Bedrock AgentCore, Azure AI Foundry, Google Vertex AI Agent Builder, Anthropic Claude Agent SDK); design reference architectures that scale across engagements.
Run AgentOps, LLMOps, AI Governance, AI Security, and Observability; drive MLOps pipelines for ML and LLM lifecycle.
Troubleshoot, optimize, and tune AI systems for performance, cost, reliability, and trust.