AI / Large Language Model Architect

New York, NY (On-Site)

100000 - 400000

Job Description:

Job Title: AI / Large Language Model Architect


Location: On-Site (Flexible)


Company: Accenture

Industry: Artificial Intelligence, Machine Learning, Natural Language Processing


About the Role:

Are you passionate about shaping the future of artificial intelligence and large language models (LLMs)? We are looking for an AI / Large Language Model Architect to join our team and lead the way in designing and building groundbreaking AI systems that push the boundaries of language understanding, generation, and reasoning.


In this role, you’ll be responsible for architecting scalable, high-performance LLMs that power cutting-edge applications in industries like healthcare, finance, entertainment, and more. You’ll work with a talented team of engineers, researchers, and data scientists to create next-gen AI technologies that transform how machines understand and interact with human language.


This is a unique opportunity to lead the development of AI systems that influence real-world applications at a massive scale and have a lasting impact on the future of AI-driven communication.


What You’ll Do:

Architect Next-Generation LLMs: Lead the design and architecture of state-of-the-art large language models and deep learning architectures, ensuring scalability, efficiency, and high performance.

Innovate with Cutting-Edge AI: Drive innovation in LLMs, implementing new algorithms, training techniques, and model architectures that push the envelope in natural language processing and understanding.

Optimize for Real-World Applications: Work on optimizing LLMs for real-time, low-latency applications and ensuring they are deployable at scale across different environments and use cases.

Collaborate Across Teams: Partner with data scientists, software engineers, and product teams to align AI architecture with business needs, ensuring seamless integration into production systems.

Lead Research & Development: Stay at the forefront of AI research, exploring and incorporating the latest advancements in LLM architectures, training techniques, and reinforcement learning.

Scalable Systems: Design models that scale to handle massive datasets and complex workloads, with a strong focus on performance, reliability, and cost optimization.

Mentorship & Leadership: Lead and mentor junior architects and engineers, fostering a culture of innovation, collaboration, and knowledge-sharing across teams.

What We’re Looking For:

10+ years of experience in AI, machine learning, or deep learning, with a focus on natural language processing and large-scale model architecture.

Expertise in large language models such as GPT-3, BERT, T5, or other transformer-based models, with deep knowledge of model architectures, training, and optimization techniques.

Strong background in deep learning frameworks such as TensorFlow, PyTorch, or JAX, and proficiency with model optimization, parallelization, and distributed computing.

Advanced understanding of NLP concepts, including transformers, attention mechanisms, embeddings, tokenization, and language modeling.

Experience in cloud computing environments (AWS, GCP, Azure) and distributed systems to handle large-scale training and inference.

Proven track record of designing and deploying production-ready AI systems with a focus on performance and scalability.

Strong leadership skills with the ability to drive complex projects and collaborate with cross-functional teams, aligning technical vision with business objectives.

Excellent communication skills, with the ability to articulate complex AI concepts and models to both technical and non-technical stakeholders.

Bonus Points:

Experience with reinforcement learning, multi-modal AI, or other advanced AI techniques.

Contributions to research papers, open-source projects, or AI conferences in the area of NLP or large language models.

Familiarity with containerization (Docker, Kubernetes) and MLOps practices for deploying machine learning models in production environments.

Advanced degree (M.S./Ph.D.) in Computer Science, AI, Machine Learning, or related field with a focus on natural language processing or deep learning.

Why Accenture?

Groundbreaking Work: Lead the development of cutting-edge AI and language models that have the potential to revolutionize industries and change the way humans interact with machines.

Collaborative Culture: Join a diverse, passionate team of engineers, researchers, and innovators who are driven to solve some of the most challenging problems in AI.

Growth Opportunities: With access to world-class research, mentorship, and development opportunities, you'll continue to grow and expand your expertise in the rapidly evolving field of AI.

Flexible Work Options: Enjoy the freedom to choose your ideal work environment—remote, hybrid, or on-site—while maintaining a healthy work-life balance.

Competitive Compensation: Receive a competitive salary, equity options, performance-based bonuses, and comprehensive benefits that reward your contributions.

Impact at Scale: Your work will have a direct, meaningful impact on real-world applications used by millions of people globally.


Key Skills:

  • AI / Large Language Model Architect

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