What you'll do:

• Design, implement, and optimize LLM architectures, including small language models (SLMs), retrieval-augmented generation (RAG), and transformer-based systems.
• Fine-tune and customize pretrained LLMs for domain-specific applications and enterprise-scale use cases.
• Architect Agentic AI systems capable of autonomous decision-making, reasoning, and adaptive interaction across workflows.
• Work closely with AI clients on their solutions both on AI engagements and as part of a broader engagements
• Work with EC colleagues, ADS track members, and broader ZS client teams in delivery
• Develop your own expertise in AI, pursing a path of internal and external thought leadership
• Mentor junior AI team members on their technical skills and expertise
• Help grow the AI EC to build an amazing team of deep AI experts

What you’ll bring:

• 5+ years of experience building and deploying AI/ML solutions
• Bachelor's Degree or higher in AI, Data Science, Computer Science or related major
• In-depth experience with LLM fine-tuning, Transformer architectures, and Generative AI frameworks.
• Proficiency in RAG design, prompt engineering, and SLM integration strategies.
• Strong programming proficiency (Python, PyTorch, TensorFlow, or similar).
• Understanding of modern AI infrastructure (e.g., distributed training, GPU optimization, MLOps for LLMs).
• Familiarity with evaluation metrics for generative systems and conversational agents.
• Experience integrating GenAI systems into enterprise or production-grade applications.
• Awareness of data privacy, governance, and compliance in AI-driven environments.

How you’ll grow:

• Cross-functional skills development & custom learning pathways
• Milestone training programs aligned to career progression opportunities
• Internal mobility paths that empower growth via s-curves, individual contribution and role expansions