Full Stack Agentic AI Senior Engineer - AIaaS
$133k - $338k • Remote • Mountain View, 650 Castro, Corp
Posted 1d ago
About the job
Accenture is seeking a Full Stack Agentic AI Engineer leader to deliver end-to-end agentic AI solutions and provide advanced technical expertise for complex customer engagements. This role involves developing intelligent systems, full-stack solutions, and human-AI interactions, collaborating with diverse teams to translate business challenges into scalable, production-ready agentic AI solutions. You will contribute to building and positioning cloud-based, customizable agentic AI offerings, combining hands-on development with discovery, technical validation, and customer-facing demonstrations to achieve differentiated agentic AI-as-a-Service outcomes.
Responsibilities
- Design, build, deploy, and operate end-to-end, human-centered agentic AI systems across frontend, backend, data, and intelligent components.
- Integrate AI/ML/NLP capabilities into workflows to address real-world client or business problems.
- Implement agentic AI behaviors using human-centered design and hybrid neural symbolic approaches.
- Support complex Mid-Market sales opportunities by partnering with Sales to shape advanced technical solutions.
- Participate in discovery sessions to identify customer challenges, objectives, and technical requirements.
- Lead technical demos, workshops, and proof of concept engagements to demonstrate solution fit and value.
- Contribute to technical solution design and input into proposals, statements of work, and contracts.
- Provide technical guidance on industry use cases, best practices, and pre-delivery considerations.
- Develop scalable APIs and services that ensure performance, reliability, and maintainability.
- Collaborate across product, business, and sales teams to deliver cohesive technical and customer-facing outcomes.
Requirements
- Minimum of 8 years of experience as a full stack AI or machine learning engineer or scientist, working with AI/ML models in production at scale, including monitoring, alerting, bug fixing, and auditing.
- Minimum of 8 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming.
- Minimum of 5 years of experience in distributed computing systems and architecture that may support AI/Agentic AI applications, big data analytics, engineering simulations, scientific compute, grid and cloud computing, distributed networks.
- Minimum of 4 years of experience in building and deploying AI/ML-based software to a cloud environment.
- Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience).
Benefits
- Medical, dental, vision, life, and long-term disability coverage
- 401(k) plan
- Bonus opportunities
- Paid holidays
- Paid time off