Full Stack Agentic AI Engineer Manager/Senior Manager

Accenture PLC; Mountain View (CA); On-site; USD 94,000 - 294,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Bonus opportunities

Paid holidays and PTO

Job summary

Accenture PLC is seeking a seasoned Full Stack Agentic AI Engineer to deliver end-to-end agentic AI solutions. You will integrate AI/ML capabilities across frontend, backend, and data layers, collaborating with client teams and global capability groups to translate business challenges into scalable, production-ready offerings.

The role emphasizes hands-on development, technical validation, customer-facing demonstrations, and input into proposals and contracts, with travel as needed and a focus

Qualifications

• Minimum 7 years of experience as a full stack AI or machine learning engineer or scientist, in production at scale.
• Minimum 7 years applying theoretical foundations of computer science, including system architecture and programming.
• Minimum 5 years in distributed computing systems and architecture supporting AI/agentic AI apps, big data, cloud.
• Minimum 4 years building and deploying AI/ML based software to a cloud environment.
• Bachelor's degree or equivalent work experience; Associate’s requires 6+ years.

Responsibilities

• Design, build, deploy, and operate end-to-end agentic AI systems across frontend, backend, data, and intelligent components.
• Integrate AI/ML/NLP capabilities into workflows to address client problems.
• Implement agentic AI behaviors with human-centered design and hybrid approaches.
• Support complex Mid-Market opportunities by shaping advanced technical solutions with Sales.
• Lead technical demos, workshops, and proof-of-concept engagements.
• Contribute to technical solution design, proposals, and contracts.
• Develop scalable APIs and services ensuring performance and reliability.
• Collaborate across product, business, and sales to deliver cohesive outcomes.

Skills

Full stack AI engineering

Agentic AI expertise

Frontend–backend integration

Python & AI frameworks

LLM APIs experience

Distributed computing

Cloud deployment

Client-facing skills

Education

Bachelor's degree or equivalent

Tools

TensorFlow / PyTorch

Python

Programming languages: Clojure, C++, Java, R, SQL

Job description

We Are

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.

You Are

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 12/28/2026.

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 RangeCalifornia $94,400 to $293,800Colorado $94,400 to $253,800Connecticut $94,400 to $253,800District of Columbia $100,500 to $270,300Illinois $87,400 to $253,800Maine $80,400 to $216,200Maryland $94,400 to $253,800Massachusetts $94,400 to $270,300Minnesota $94,400 to $253,800New York $87,400 to $293,800New Jersey $100,500 to $293,800Ohio $87,400 to $235,000Virginia $87,400 to $270,300Washington $100,500 to $270,300

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