Summary
A global professional services organization is seeking an LLM/Generative AI Engineer to prototype, build, test and deploy AI-powered solutions at scale. You will work with Python and modern AI/ML frameworks, develop CI/CD pipelines, containerize and deploy models to cloud or on-premises environments, and support the full machine learning lifecycle. The role combines advanced technical work with client collaboration, architecture design and technical guidance across industries. Hybrid work, relocation support, professional training and career progression are available.
Highlights
Work at the forefront of LLM and generative AI technology on large-scale client projects across multiple industries. The role offers hybrid flexibility, relocation support, paid certifications and training, continuous career advancement, and opportunities to solve complex real-world problems with emerging AI technologies.
Description
Position: LLM/GenAI Engineer
Location: Latvia
Compensation: Specialist – 1,900- 4,700 EUR
Apply for a highly demanded new age job – a Data Scientist/ GenAI LLM Engineer.
Be part of Accenture team working in Latvia and delivering projects to world leaders in various fields, like TV & Entertainment, Telecommunication, Finances, Insurance, Industry, Logistic & Supply Chain, and others.
Working at the edge of AI/ML technologies we help our clients to leverage the value of unstructured data, to uncover the hidden power of accumulated enterprise information.
As an LLM engineer, you will have the opportunity to apply your deep expertise in LLM/GenAI technologies.
Your main responsibility will be collaborating closely with clients to prototype, build, test, and deploy products powered by GenAI/LLM technology on a large scale.
Additionally, you will play a key role in fine-tuning the hyperparameters of LLM models, optimizing their configuration to ensure the overall model performance and enhance the overall model performance to drive positive outcomes for clients.
What we offer:
Compensation at Accenture varies depending on a wide array of factors including but not limited to role, level, seniority, responsibility, skillset, and level of experience.
The range of base pay for this role is:
Associate Manager – 2333 - 6200
Specialist – 1900- 4700
Senior Analyst – 1700 - 3400
Analyst – 1400 - 2800
Flexible vacation + health & travel insurance + relocationHybrid work model: flexible hours with the possibility to combine office and remote workYour responsibilities will include:
Work with Python, LLM/GenAI frameworks and tools AI/ML end-to-end solutions developingCI/CD pipelines development, LLM model containerizing and deployment on cloud or premise.
Models testing and follow-up maintenance.
All stages of ML model life cycle ensuring and support.Design prototypes and POCs to demonstrate solution feasibility and value.
Provide architecture solution.Research, design, build, and train innovative applications of LLMs to solve complex real-world problems.Provide technical guidance to clients adopting LLM technologies.Work with Fortune 500 companies from different industries all over the worldSkills development and training opportunities, company-paid certificationsOpportunities to advance careerAn open-minded and inclusive company culture
EDUCATION
Bachelor's Degree or equivalentBASIC (REQUIRED) QUALIFICATION
Proven experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programmingHands-on experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networksExperience in building and deploying AI/ML based software to a cloud environment.
PREFERRED QUALIFICATION
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..Experience working with language models like LLM's APIs and optimizing their usage for specific applications.Experience with the following programming languages: Python, C++, Java, R, SQLStrong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholdersStrong client-facing skillsets in a consulting environmentStrong cross-functional skills with the ability to collaborate with a variety of internal and client-side teamsEntrepreneurial mindset with a curiosity and passion for emergent tech and driving innovationMS or PhD in related field preferred (computer science, engineering, etc.)
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
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All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.
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