ABOUT ACCENTURE

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 791,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change. Visit us at www.accenture.com

SKILLS & QUALIFICATIONS

• 5–8 years delivering solutions in AI, Data Ops, Automation, and Full-Stack Development.
• Hands-on coding and solution delivery with Python, Java, or .NET.
• Experience in front-end frameworks (React, Angular, or equivalent) and API development.
• Expertise in AI/ML pipelines, cloud platforms (Azure, AWS, GCP), and containerization (Docker, Kubernetes).
• Demonstrated experience in deploying AI-led solutions (e.g., Generative AI, LLMs, AI Ops).
• Strong track record in managing delivery quality, project execution, and cross-functional collaboration.
• Excellent communication and stakeholder engagement, with the ability to bridge business requirements and technical execution.

• Manage delivery workstreams for AI-led programs, embedding automation where it drives efficiency and value.
• Lead the design, build, and deployment of AI-enabled, full-stack applications leveraging cloud-native services and modern frameworks.
• Implement AI Ops, ML, Data Ops, and automation capabilities, ensuring alignment to architectural standards and delivery excellence.
• Drive adoption of Generative AI use cases through pilots, proofs-of-concept, and scalable implementations.
• Collaborate with cross-functional teams—data engineers, developers, architects, and business stakeholders—to deliver end-to-end solutions.
• Ensure quality assurance, documentation, and deployment best practices are met across workstreams.
• Mentor and guide junior engineers, consultants, and developers to strengthen the team’s AI and engineering expertise.