Senior AI Architect & Forward‑Deployed Engineer

1000 Accenture LLP Company; Irving (TX); Hybrid; USD 140,000 - 320,000; Full time

Benefits offered by this job

Medical, dental, vision

Life insurance

401(k) with match

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking an AI/ML Sr Architect to deliver full-stack AI architecture on public, private, or sovereign clouds. You will architect enterprise-grade AI agent platforms using AI Agents, Generative AI, Foundation Models, and Knowledge & Data Engineering to solve complex business problems at scale.

You will embed with clients as a senior architect to shape their AI agent foundation, design reference architectures across cloud providers, and guide engineering teams from use‑case definition

Qualifications

• Minimum 10 years of experience in Python, Java, or equivalent.
• Minimum 6 years of experience with AI technologies from public cloud providers, open source, and 3rd party tooling.
• Minimum 4 years designing, engineering, and operationalizing large-scale AI/ML solutions on at least one major public cloud.
• Minimum 4 years hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, open-source).
• Minimum 3 years designing and implementing scaled Agentic AI and Generative AI solutions, operational AI solutions.
• Minimum 3 years experience in Agent-user models.

Responsibilities

• Architect enterprise-ready AI agent systems: retrieval, orchestration, governance, evaluation, lifecycle observability.
• Lead architecture workshops with client and Accenture teams; finalise requirements and TCO for AI solutions.
• Evaluate, rationalise, 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) for enterprise-scale AI agents.
• Architect for scalability, security, governance, and performance on multiple clouds.
• Design reusable AI components, agents, and solution patterns for repeatable delivery.
• Run AgentOps, LLMOps, AI Governance, AI Security, and Observability; drive MLOps pipelines.
• Travel 25%–75% depending on business need.

Skills

Python/Java

AI/ML platforms

Cloud architectures

LLM/Agent tech

MLOps/LLMOps

Agent frameworks

Knowledge graphs

Security/Governance

Observability

Performance tuning

Tools

Bedrock AgentCore

Azure AI Foundry

Vertex AI Agent Builder

Anthropic Claude Agent SDK

LangGraph

CrewAI

AutoGen

Job description

Accenture is seeking an AI/ML Sr Architect to deliver full-stack AI architecture on public, private, or sovereign clouds. You will architect enterprise-grade AI agent platforms using AI Agents, Generative AI, Foundation Models, and Knowledge & Data Engineering to solve complex business problems at scale.

You will embed with clients as a senior architect to shape their AI agent foundation, design reference architectures across cloud providers, and guide engineering teams from use‑case definition