Forward Deployed AI Engineer
AI summary of the role
Forward-deployed AI engineer role at Accenture, embedded with enterprise clients to design, prototype, and scale production-grade AI workflows using LLMs and enterprise platforms.
What you’ll do
- Work directly with clients to shape AI use cases and define technical solutions from ambiguous requirements.
- Design and implement end-to-end AI solutions integrating LLMs with enterprise platforms like SAP, ServiceNow, Salesforce.
- Rapidly prototype and deploy AI-enabled workflows, agents, copilots, and automations into production.
- Own solutions from concept to production, ensuring quality, reliability, and business value.
What you’ll bring
- Minimum 10 years software engineering experience (Python, TypeScript/JavaScript, Java) with API integration and distributed systems.
- Minimum 2 years experience with modern AI/ML platforms (OpenAI, Anthropic, etc.) and enterprise platforms.
- Minimum 10 years translating business needs into technical designs in large enterprises or professional services.
- Minimum 10 years client-facing communication and collaboration, leading technical discussions under ambiguity.
Technologies
OpenAI · Anthropic · Google Gemini · SAP · ServiceNow · Salesforce · Python · TypeScript · JavaScript · Java · LLM · agent frameworks
About Accenture
Accenture helps enterprises and governments reinvent strategy, technology, operations and customer growth through global consulting, managed services, AI/data, cloud and ecosystem partnerships.
Public · 5000+ people
Source and classification
Production engineering · Evidence for this classification:
We are: A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality. You Are: 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
More from the job description
We are: A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality. You Are: 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, Servi [... source excerpt omitted ...] d workflow design API integrations and orchestration Enterprise knowledge integration Security, privacy, and governance considerations Own solutions from concept → prototype → production → iteration, with accountability for quality, reliability, and outcomes. Provide technical leadership and best practices for responsible, secure, and scalable AI deployment. At Accenture, we hire the best people and help them become even better through world-class training, career counseling, mentoring and support to help you maintain professional success. Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements. [... source excerpt omitted ...] el 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’s 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. A
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