Overview
Accenture is a leading global professional services company. We believe in inclusion and diversity and supporting the whole person. Our core values comprise Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Accenture’s 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.
The Data and AI revolution is changing everything. It’s 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 opportunity to grow and advance.
You’ll 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.
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 of Gen AI products, applications and systems.
- Analyze and evaluate the performance of Gen AI systems 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 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 with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring the language model meets the needs and expectations of various stakeholders.
- Create and maintain comprehensive technical documentation that captures the intricate details of the language model.
- Harness transformer architectures to optimize the language model’s performance and efficiency.
- Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
Qualifications
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.Bachelor’s degree or equivalent work experience (minimum of 12 years), or an associate degree with a minimum of 6 years of equivalent work experience.Seniority level
Mid-Senior levelEmployment type
Full-timeJob function
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