A Forward-Deployed AI Engineer who thrives at the intersection of cutting-edge AI platforms, enterprise systems, and real-world business problems. It is a product-minded, customer-embedded engineering role where you will work directly with clients, partners, and internal product teams to design, prototype, deploy, and scale end-to-end AI solutions.

The Work:

You will work hands-on with platforms such as OpenAI, Anthropic, Google Gemini, SAP, ServiceNow, and other enterprise systems, translating ambiguous business needs into production-grade AI workflows that deliver measurable impact.

This role requires strong engineering depth, excellent communication, comfort with ambiguity, and a builder’s mindset.

Responsibilities:

• Work directly with clients and internal teams to understand business problems, shape AI use cases, and define technical solutions — often from ambiguous or evolving requirements.

• Design and implement end-to-end AI solutions, integrating LLMs and AI services (OpenAI, Anthropic, Gemini, etc.) with enterprise platforms (SAP, ServiceNow, Salesforce, data platforms, internal systems).

• Rapidly prototype, iterate, and deploy AI-enabled workflows, agents, copilots, and automations into real operational environments.

• Serve as the technical bridge between product, engineering, data, and business stakeholders, ensuring solutions are technically sound, usable, and aligned with business value.

• Drive solution architecture, including:

  • Prompt and workflow design

  • API integrations and orchestration

  • Enterprise knowledge integration

  • Security, privacy, and governance considerations

• Own solutions from concept 12 prototype 12 production 12 iteration, with accountability for quality, reliability, and outcomes.

• Provide technical leadership and best practices for responsible, secure, and scalable AI deployment.

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

What You Need:

• Minimum 10 years software engineering experience (Python, TypeScript/JavaScript, Java) with 10 years
  9 experience integrating APIs and building distributed, production systems.

• Minimum of 2 years experience with modern AI/ML platforms such as:

  • OpenAI, Anthropic, or similar foundation model providers

  • Workflow orchestration and agent frameworks

  • Enterprise platforms (ServiceNow, Salesforce, SAP, data platforms, etc.)

• Minimum of 10 years experience translating high-level business needs into concrete technical designs and implementations in a large enterprise-wide organizations or professional services firm.

• Minimum of 10 years of experience in client-facing communication and collaboration, including leading technical discussions, workshops, or delivery sessions under ambiguity.

• Bachelor's degree in Computer Science, Engineering or equivalent OR equivalent (minimum 12 years) work experience. (If Associate
  9s Degree, must have minimum 6 years work experience)

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 10/15/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

Role Location Annual Salary Range
California $132,500 to $366,300
Cleveland $122,700 to $293,000
Colorado $132,500 to $316,400
District of Columbia $141,100 to $337,000
Illinois $122,700 to $316,400
Maine $112,900 to $269,600
Maryland $132,500 to $316,400
Massachusetts $132,500 to $337,000
Minnesota $132,500 to $316,400
New York $122,700 to $366,300
New Jersey $141,100 to $366,300
Virginia $122,700 to $337,000
Washington $141,100 to $337,000