Forward Deployed AI Engineer

Accenture; Houston (TX); On-site; USD 150,000 - 220,000; Full time

Job summary

Accenture seeks a Forward-Deployed AI Engineer to work directly with clients, partners, and internal teams to design, prototype, deploy, and scale AI solutions that address real-world business problems. You will work hands-on with platforms such as OpenAI, Anthropic, Gemini, SAP, ServiceNow, Salesforce, and other enterprise systems to translate ambiguous needs into production-grade AI workflows that deliver measurable impact.

Travel may be required for this role.

Qualifications

• 10+ years of software engineering experience, including building distributed, production systems.
• 10+ years of experience integrating APIs and creating scalable architectures.
• 2+ years with modern AI/ML platforms (OpenAI, Anthropic, Gemini, etc.).

Responsibilities

• Collaborate with clients and internal teams to understand business problems, shape AI use cases, and define technical solutions.
• Design and implement end-to-end AI solutions, integrating LLMs with enterprise platforms.
• Prototype, iterate, and deploy AI-enabled workflows and automations into real environments.
• Serve as the technical bridge between product, engineering, data, and business stakeholders.

Skills

Python

TypeScript/JavaScript

Java

APIs integration

Distributed systems

Tools

OpenAI

Anthropic

Gemini

ServiceNow

Salesforce

SAP

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 need and client requirements.

What You Need:

• Minimum 10 years software engineering experience (Python, TypeScript/JavaScript, Java) with 10 years’ 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.)