Full Stack Agentic AI Engineer

Salary: $80,400 - 293,800 per year Requirements:

• Minimum of 7 years experience as a full stack AI or machine learning engineer or scientist, with AI/ML models running in production at scale, including monitoring, alerting, bug fixing, and auditing
• Minimum of 7 years experience applying computer science foundations, including computer architecture, systems engineering, and programming
• Minimum of 5 years experience with distributed computing systems and architectures that may support AI or agentic AI applications, big data analytics, engineering simulations, scientific compute, grid and cloud computing, or distributed networks
• Minimum of 4 years experience building and deploying AI/ML-based software in a cloud environment
• Bachelors degree or equivalent experience, with at least 12 years of work experience; or an Associates degree with at least 6 years of work experience
• Strong written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
• Strong client-facing experience in a consulting environment
• Strong cross-functional collaboration skills with the ability to work effectively with internal and client-side teams
• Entrepreneurial mindset with curiosity and enthusiasm for emerging technologies and innovation
• Preferred: proficiency in Python and Python-based AI/ML frameworks, including familiarity with libraries and frameworks such as TensorFlow and PyTorch
• Preferred: experience working with language models and optimizing LLM API usage for specific applications
• Preferred: experience with Clojure, C++, Java, R, or SQL
• Preferred: masters or PhD in a related field such as computer science or engineering

• Design, build, deploy, and run end-to-end, human-centered agentic AI systems across frontend, backend, data, and intelligent components
• Integrate AI, ML, and NLP capabilities into workflows to solve 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 understand customer challenges, goals, and technical requirements
• Lead technical demos, workshops, and proof-of-concept engagements to demonstrate solution fit and value
• Contribute to technical solution design and provide input for proposals, statements of work, and contracts
• Offer technical guidance on industry use cases, best practices, and pre-delivery considerations
• Develop scalable APIs and services that deliver performance, reliability, and maintainability
• Collaborate across product, business, and sales teams to deliver cohesive technical and customer-facing outcomes
• Travel as needed, depending on business needs and client requirements

• Agentic AI
• AI
• API
• Big Data
• Backend
• Cloud
• Clojure
• Frontend
• Support
• Java
• LLM
• Machine Learning
• PyTorch
• Python
• SQL
• TensorFlow
• Fullstack

More:

We are Accenture, a leading global professional services company helping organizations reinvent their businesses with human-centered AI solutions and services that drive innovation and competitive advantage. Our AI & Data practice includes more than 45,000 AI and data professionals, and we combine advanced AI technologies, deep industry expertise, strategic investment, and a strong partner ecosystem to help clients scale AI with speed and confidence. This role focuses on full stack agentic AI engineering for mid-market client engagements, with responsibility for building cloud-based, customizable advanced agentic AI offerings and supporting discovery, validation, and customer demonstrations. We offer a market-competitive benefits package that includes medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. Compensation varies by role, location, skill set, and experience, with salary ranges listed for several U.S. locations. We are committed to inclusion, diversity, and equal employment opportunity.

last updated 38 week of 2026