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Across the globe one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us. -Julie Sweet Accenture CEO
As a team:
The Data and AI revolution is changing everything. Its everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities client engagements and the way we collaborate with the ecosystem operate and deliver value provides an unparalleled opportunity to grow and advance.
Accentures Data and AI practice covers the range of Data and AI skills across all domains of data governance & quality cloud & traditional data engineering and visual insights & next generation user interfaces. When combined with Accentures broader Strategy and Consulting and Technology businesses we are able to bring together the unique end to end business changes through the application of Data and AI.
Youll learn grow and advance in an innovative culture that thrives on shared success diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. We have access to world leading assets training and experts to help your career thrive and grow.
In our team you will learn:
At the forefront of the industry youll create own and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises.
Become an integral part of our D&AI team with the credibility expertise and insight clients depend on.
You will be working with famous brands and household names tackling some of the most challenging industry community and national problems.
Responsibilities:
Architect and design end to end Generative AI products applications and solutions for specific business needs and provide implementation guidance during delivery.
Leverage customize and implement Gen AI models algorithms and methodologies to improve the overall quality Gen AI products applications and systems.
Analyze and evaluate the performance ofGen AIsystems and provide design recommendations.
Estimate the effort and time required for deploying an end-to-end solution using LLMs.
Estimate cost of using AI and LLMs in different forms for business use cases and the viability develop cost models for different usage patterns.
Analyze and make right technological choices for AI solutions.
Design and prototype reusable components for LLM based solution patterns.
Architect components of an AI solution to address Responsible AI & Security.
Design AI Ops solutions for large scale operationalization.
Collaborate seamlessly with diverse cross-functional teams to accurately identify and prioritize requirements ensuring that the language model meets the needs and expectations of various stakeholders.
Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the language model facilitating seamless understanding efficient troubleshooting and future development.
Harness the power of transformer architecture a cutting-edge deep learning model widely employed in natural language processing and computer vision to optimize the language models performance and efficiency.
Exploiting the transformative capabilities of transformer architectures to seamlessly process and reshape vast volumes of data empowering the language model to achieve unprecedented levels of accuracy and versatility.
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
What you need:
Minimum of 6 years of experience in designing & deploying AI / ML solutions using at least one cloud vendor.
Minimum of 1 year of experience in the LLM and Generative AI space.
Minimum of 1 year of experience architecting and operationalizing LLM driven application architecture patterns.
Minimum of 6 years in engineering machine learning deep learning and NLP solutions and applications.
Bachelors degree or equivalent work experience(minimum of 12 years) or an associate degree with a minimum of 6 years of equivalent work experience.
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About Accenture
Accenture is a leading global professional services company that helps the worlds leading businesses governments and other organizations build their digital core optimize their operations accelerate revenue growth and enhance citizen servicescreating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791000 people serving clients in more than 120 countries. Technology is at the core of change today and we are one of the worlds 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.Equal Employment Opportunity Statement for New Zealand:
At Accenture our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work.
As part of our talent strategy we hire and develop people who have different backgrounds different perspectives and different lived experiences. These differences ensure that we have and attract the cognitive diversity to deliver a variety of perspectives observations and insights which are essential to drive the innovation needed to reinvent and we hold our leaders accountable for ensuring we have the most innovative and talented people in our industry.
We encourage applications from all people and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age disability status ethnicity gender gender identity or expression religion or sexual orientation and we do not tolerate discrimination. If you require adjustments to the recruitment process or have a preferred communication method please emailand cite the relevant Job Number or contact us on .
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