AI Engineer

About the role

We are sourcing elite engineering and scientific talent for the dedicated GenAI Practice of a leading Big 4 consulting firm. This team is embedded across multiple lines of service, building and deploying enterprise-scale, AI-powered products at the absolute frontier of generative AI, graph science, and agentic systems. This is a hands-on, highly technical environment.

Responsibilities

• Build and optimize sophisticated, production-grade AI systems at scale.
• Design and implement advanced AI methods such as Graph Neural Networks (GNNs), agentic system design, and generative systems like GANs and VAEs.
• Work on large language model architecture, custom fine-tuning, and multi-modal or retrieval-augmented generation (RAG) pipelines.
• Collaborate with cross-functional teams to develop and deploy AI solutions that address complex business challenges.

Requirements

• In-depth, systems-level understanding of advanced AI methods.
• Deep technical expertise in one or more of the following core frontier domains:
• Graph Data Science & GNNs: Expertise in Graph Neural Networks (GNNs), graph data science, knowledge graphs, ontology, semantics, and graph-based reasoning or representation learning.
• Agentic AI: Demonstrated experience in agentic system design, autonomous workflow orchestration, agent-to-agent communication frameworks, and multi-agent architectures.
• NLP & LLM Infrastructure: Deep knowledge of large language model architecture, custom fine-tuning, quantization, model evaluation, and multi-modal or retrieval-augmented generation (RAG) pipelines.
• Machine Learning & Deep Learning: Hands-on experience with ML/DL model development and deployment at scale, including GPU computing, cluster infrastructure, and hardware optimization.
• Generative Systems: Advanced familiarity with GANs, VAEs, and diffusion-based generative architectures.

Qualifications

• MS or PhD in Computer Science, Artificial Intelligence, Data Science, or a highly quantitative field.
• Proven track record of building, optimizing, and shipping production-grade AI systems at scale.
• In-depth knowledge of underlying systems, algorithms, and frameworks.

Skills

• Advanced proficiency in programming languages relevant to AI and machine learning, such as Python, R, or Java.
• Experience with cloud platforms and distributed computing environments.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

Benefits

Remote work option, competitive compensation, professional development opportunities, and a dynamic team environment.

Pay

Competitive hourly rate based on experience and qualifications.

Schedule

Full-time contract position, flexible hours to accommodate remote work.