Client-Facing AI Engineer Lead for Production Workflows

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

Job summary

Accenture PLC is seeking a Forward-Deployed AI Engineer to translate business needs into production-grade AI workflows. You’ll work hands-on with platforms like OpenAI, Anthropic, Gemini, SAP, and ServiceNow, delivering end-to-end AI solutions for enterprise clients.

You will lead architectures, prototypes, and deployments, collaborating with product, engineering, and business teams, while traveling 25%–75% as required by client needs.

Qualifications

• 5+ years software engineering experience (Python, TypeScript/JavaScript, Java) with API integrations.
• 2+ years with AI/ML platforms (OpenAI, Anthropic, Gemini) and related services.
• Experience designing end-to-end AI solutions in enterprise environments.
• 5+ years translating business needs into concrete technical designs for large orgs.
• 5+ years working with enterprise platforms (ServiceNow, Salesforce, SAP, data platforms).
• 5+ years of client-facing communication and technical delivery leadership.

Responsibilities

• Work with clients and teams to understand problems, shape AI use cases, and define solutions.
• Design and implement end-to-end AI workloads, integrating LLMs with enterprise platforms.
• Prototype and deploy AI-enabled workflows, agents, and copilots in production environments.
• Bridge product, engineering, data, and business stakeholders with technical leadership.
• Lead solution architecture: prompts, API integrations, governance, and security.

Skills

Software engineering

AI platforms

Workflow orchestration

Client-facing delivery

Enterprise platforms

Client communication

Education

Bachelor's degree in CS/Engineering or equivalent

Job description

Accenture PLC is seeking a Forward-Deployed AI Engineer to translate business needs into production-grade AI workflows. You’ll work hands-on with platforms like OpenAI, Anthropic, Gemini, SAP, and ServiceNow, delivering end-to-end AI solutions for enterprise clients.

You will lead architectures, prototypes, and deployments, collaborating with product, engineering, and business teams, while traveling 25%–75% as required by client needs.