Client-Embedded AI Engineering Manager

Accenture PLC; Seattle (WA); On-site; USD 101,000 - 291,000; Full time

Job summary

Accenture PLC is seeking a Forward-Deployed AI Engineer who will work directly with clients to design, prototype, deploy, and scale AI workflows across platforms like OpenAI, Anthropic, Gemini, SAP, and ServiceNow. You will translate business needs into production-grade solutions while maintaining a builder’s mindset.

You will collaborate with product, engineering, and business teams, delivering end-to-end AI capabilities and ensuring security, governance, and operational impact.

Qualifications

• 5+ years software engineering experience (Python, TS/JavaScript, Java) with API integrations.
• 2+ years experience with modern AI/ML platforms (OpenAI/Anthropic or similar).
• 5+ years translating business needs into technical designs in large enterprises.
• 5+ years working with enterprise platforms (ServiceNow, Salesforce, SAP, data platforms).

Responsibilities

• Work directly with clients to understand problems and shape AI use cases.
• Design end-to-end AI solutions, integrating LLMs with enterprise platforms.
• Prototype, deploy, and scale AI-enabled workflows in real environments.
• Bridge product, engineering, data, and business stakeholders for value.
• Own solutions from concept to production and iteration.
• Provide technical leadership for secure, scalable AI deployment.

Skills

Python

TypeScript/JavaScript

Java

APIs integration

Distributed systems

Client communication

AI platforms

Education

Bachelor's degree in Computer Science or Engineering

Tools

OpenAI

Anthropic

Gemini

ServiceNow

Salesforce

SAP

Job description

Accenture PLC is seeking a Forward-Deployed AI Engineer who will work directly with clients to design, prototype, deploy, and scale AI workflows across platforms like OpenAI, Anthropic, Gemini, SAP, and ServiceNow. You will translate business needs into production-grade solutions while maintaining a builder’s mindset.

You will collaborate with product, engineering, and business teams, delivering end-to-end AI capabilities and ensuring security, governance, and operational impact.