Sr Developer -AI Engineer

AccentureCoral Springs, FL

About The Position

THE WORK: Embrace the opportunity to innovate and shape the future of artificial intelligence! In this role, you will be a subject matter expert, collaborating with various teams to make impactful decisions. You will engage with multiple teams and contribute to key decisions while providing solutions to challenges that arise. Your expertise in Large Language Models will be pivotal in driving advancements and fostering a culture of creativity and excellence. We are excited to see how your contributions will help us achieve our goals! Design and evolve advanced AI architecture blueprints and necessary technical capabilities. Understand and compare different technology options to advise on technology selection. Develop implementation roadmaps for operationalizing AI foundations and scalable architecture. Build and operationalize end-to-end foundation architecture for enabling and governing AI at scale. Assess, evaluate, and incorporate appropriate technologies and platforms across data, AI/ML models, operations, security, and governance. About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive. Explore your next step at Accenture Belong. Grow. Thrive. Join a great place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture

Requirements

  • Master proficiency in Large Language Models (LLMs).
  • A minimum of 4 years of experience in relevant related skills.
  • Bachelor's Degree in relevant field of studies.

Nice To Haves

  • Master proficiency in Prompt Engineering.
  • Master proficiency in Python (Programming Language).
  • Master proficiency in PyTorch.
  • Expert proficiency in Docker (Software).
  • Expert proficiency in Tensorflow.

Responsibilities

  • Design and evolve advanced AI architecture blueprints and necessary technical capabilities.
  • Understand and compare different technology options to advise on technology selection.
  • Develop implementation roadmaps for operationalizing AI foundations and scalable architecture.
  • Build and operationalize end-to-end foundation architecture for enabling and governing AI at scale.
  • Assess, evaluate, and incorporate appropriate technologies and platforms across data, AI/ML models, operations, security, and governance.
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