Forward Deployed Engineer Manager
$94.4k - $316.3kAccenture Global
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.
- 5+ years software engineering experience (Python, TypeScript/JavaScript, Java) with 5 years’ experience integrating APIs and building distributed, production systems.
- 2+ years experience with modern AI/ML platforms such as:
- OpenAI, Anthropic, or similar foundation model providers
- Workflow orchestration and agent frameworks
- 5+ years experience translating high-level business needs into concrete technical designs and implementations in a large enterprise-wide organizations or professional services firm.
- 5+ years enterprise platforms (ServiceNow, Salesforce, SAP, data platforms, etc.)
- 5+ 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)
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