Client‑Facing AI Engineer Lead, End-to-End Solutions

Accenture; Morristown (NJ); On-site; USD 101,000 - 316,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Life insurance

Long-term disability

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a Forward-Deployed AI Engineer to translate ambiguous business needs into production-grade AI workflows within enterprise platforms.

You will design, prototype, and deploy end-to-end AI solutions using OpenAI, Anthropic, Gemini, SAP, ServiceNow, Salesforce, and data platforms, partnering closely with clients and internal teams. The role combines deep engineering with strong communication across stakeholders.

Qualifications

• 5+ years software engineering, API integration, distributed systems.
• 2+ years with modern AI/ML platforms (OpenAI, Anthropic, Gemini).
• 5+ years translating business needs into technical designs in large organizations.
• 5+ years experience with enterprise platforms (ServiceNow, SAP, Salesforce).
• 5+ years of client-facing communication and collaboration.

Responsibilities

• Work with clients and internal teams to understand problems and shape AI use cases.
• Design end-to-end AI solutions and integrate with enterprise platforms.
• Prototype, deploy, and scale AI-enabled workflows and agents.
• Bridge product, engineering, data, and business stakeholders.
• Drive architecture: prompts, workflows, APIs, and governance.

Skills

Software engineering

APIs

AI platforms

Client-facing comms

Enterprise platforms

Technical leadership

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

OpenAI

Anthropic

Gemini

SAP

ServiceNow

Salesforce

Job description

Accenture is seeking a Forward-Deployed AI Engineer to translate ambiguous business needs into production-grade AI workflows within enterprise platforms.

You will design, prototype, and deploy end-to-end AI solutions using OpenAI, Anthropic, Gemini, SAP, ServiceNow, Salesforce, and data platforms, partnering closely with clients and internal teams. The role combines deep engineering with strong communication across stakeholders.