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Forward Deployed AI Engineer
Career Insights for Artificial Intelligence Engineer (General)
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What they do
An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
$149,982 / year median in Kansas
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 , 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 ? 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 nee To view full details and how to apply, please login or create a Job Seeker account