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A Full Stack Agentic AI Engineer leader who 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 Work

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.

Key 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

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's what you need

• 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)

Professional Skills Requirements

• 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

Bonus points if you have

• 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.)

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 09/30/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range
California $94,400 to $293,800
Cleveland $87,400 to $235,000
Colorado $94,400 to $253,800
District of Columbia $100,500 to $270,300
Illinois $87,400 to $253,800
Maine $80,400 to $216,200
Maryland $94,400 to $253,800
Massachusetts $94,400 to $270,300
Minnesota $94,400 to $253,800
New York $87,400 to $293,800
New Jersey $100,500 to $293,800
Virginia $87,400 to $270,300
Washington $100,500 to $270,300