Forward Deployed Engineer Manager
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:
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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.
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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).
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Rapidly prototype, iterate, and deploy AI-enabled workflows, agents, copilots, and automations into real operational environments.
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Serve as the technical bridge between product, engineering, data, and business stakeholders , ensuring solutions are technically sound, usable, and aligned with business value.
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Drive solution architecture, including:
- Prompt and workflow design
- API integrations and orchestration
- Enterprise knowledge integration
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Security, privacy, and governance considerations
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Own solutions from concept → prototype → production → iteration , with accountability for quality, reliability, and outcomes.
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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:
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5+ years software engineering experience (Python, TypeScript/JavaScript, Java) with 5 years’ experience integrating APIs and building distributed, production systems.
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2+ years experience with modern AI/ML platforms such as:
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OpenAI, Anthropic, or similar foundation model providers
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Workflow orchestration and agent frameworks
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5+ years experience translating high-level business needs into concrete technical designs and implementations in a large enterprise-wide organizations or professional services firm.
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5+ years enterprise platforms (ServiceNow, Salesforce, SAP, data platforms, etc.)
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5+ years of experience in client-facing communication and collaboration, including leading technical discussions, workshops, or delivery sessions under ambiguity.
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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. 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