Full Stack Agentic AI Engineer

Accenture•Mountain View, CA

1d•Remote

About The Position

Accenture is helping enterprises reinvent their organizations and businesses with human-centered AI solutions and services to drive breakthrough innovation and lasting competitive advantage. With more than 45,000 AI and data professionals across the company, our AI & Data practice brings together cutting-edge AI technologies, deep industry experience, strategic investment, exceptional interdisciplinary talent, and a powerful ecosystem of partners to help clients scale AI with speed and confidence. The role focuses on delivering end‑to‑end agentic AI solutions while providing advanced technical expertise to support complex Mid‑Market customer engagements. The scope spans agentic AI as a Service intelligent systems, full‑stack solution development, and human‑AI interaction, alongside close collaboration with diverse teams, including but not limited, client teams, global capability teams, and operational teams, to translate business challenges into scalable, production‑ready agentic AI solutions. The role contributes to building and positioning cloud‑based, customizable advanced agentic AI offerings, combining hands‑on solution development with discovery, technical validation, and customer‑facing demonstrations to enable credible, highly differentiated agentic AI‑as‑a‑Service outcomes.

Requirements

Minimum of 7 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 7 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)
Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders
Strong client-facing skillsets in a consulting environment
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation

Nice To Haves

Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.
Experience with the following programming languages: Clojure, C++, Java, R, SQL
MS or PhD in related field preferred (computer science, engineering, etc.)

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