Forward Deployed AI Engineer Sr Manager

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.

A Forward-Deployed AI Engineer Sr Manager 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.

You will work hands-on with platforms such as OpenAI, Anthropic, Google Gemini, SAP, Service Now, 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.

• 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, Service Now, 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.

• Minimum 10 years software engineering experience (Python, Type Script/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 (Service Now, Salesforce, SAP, data platforms, etc.)
• Minimum of 10 years experience translating high-level 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. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set…