Associate Consultant, Generative AI at PPT Consulting in New York, NY

Summary: PPT Consulting is a next-generation, global management consulting group specializing in AI and Data solutions. They are seeking motivated recent graduates to join as Associate Consultants in Generative AI, where you will help clients design, build, and deploy AI-powered solutions that create tangible value.

Responsibilities:
- LLM/GenAI System Development: Design, build, train, fine-tune, and deploy sophisticated AI models leveraging LLMs (e.g., GPT-x, Claude, Gemini, Llama, Mistral) and other generative techniques
- Assist in Solution Architecture: Support the GenAI Solution Architect in designing robust, scalable, and secure applications
- Application Development: Develop applications powered by GenAI models (both self-managed and API-accessible) that meet business needs and comply with applicable regulations (GDPR, EU AI Act, model licenses, etc.)
- Advanced Prompt Engineering: Design and optimize effective prompts (e.g., few-shot, Chain/Tree/Graph of Thought, ReAct, Self-reflection, guardrails), balancing simplicity and complexity to enhance analytical capabilities, refine outputs, improve user experience, and control interactions
- RAG Implementation: Design and implement Retrieval-Augmented Generation (RAG) architectures to improve accuracy and relevance by retrieving information from pre-determined knowledge sources, providing traceability (source attribution)
- Model Selection & Fine-Tuning: Select and fine-tune appropriate models (including multimodal - VLM, SLM - Visual Language Models, Small Language Models) to create higher-quality content (text, image, audio, code, etc.) and maximize business value creation opportunities
- Integration & Deployment (MLOps): Implement MLOps best practices for the GenAI lifecycle, including automated pipelines (CI/CD), versioning, monitoring, and maintenance in production environments (Cloud platforms like AWS, Azure, GCP). Ensure seamless integration into existing systems and with external tools/APIs, potentially utilizing standardized protocols (MCP)
- Evaluation & Responsible AI: Develop and execute rigorous evaluation frameworks to measure model performance, reliability, fairness, and safety. Ensure adherence to Responsible AI principles and help teams and clients navigate end-to-end security and compliance processes
- Research & Innovation: Stay abreast of the latest advancements in GenAI techniques, technologies, and frameworks. Experiment with new approaches and contribute to internal knowledge sharing
- Collaboration: Work effectively within cross-functional teams, communicating complex technical concepts clearly to diverse stakeholders (both technical and non-technical)
- Documentation: Document processes, methodologies, and best practices for knowledge sharing and future reference
- Use Case Differentiation: Distinguish between use cases suited for Generative AI versus traditional NLP applications (e.g., NER, sentiment analysis)

Required Qualifications:
- Bachelors Degree Required
- Recent graduate (within 2 years) in CS, Engineering, Data Science, or equivalent
- Strong Python programming skills
- Familiarity with at least one GenAI framework (LangChain, LlamaIndex, or similar)
- Foundational knowledge of NLP concepts, vector embeddings, and semantic search
- Exposure to cloud platforms (AWS, Azure, or GCP)
- Ability to explain technical concepts clearly to diverse audiences
- All candidates must hold — or demonstrate the clear ability to obtain within one week of hire — the Claude Certified Architect – Foundations (CCA-F) certification from Anthropic

Preferred Qualifications:
- Masters Degree Preferred
- Prior experience building agentic AI systems (LangGraph, AutoGen, etc)
- Familiarity with vector databases (Pinecone, Chroma, pgvector, OpenSearch)
- Experience with or understanding of the Model Context Protocol (MCP)
- Hands-on fine-tuning experience with open-source LLMs
- Familiarity with Docker, Git, and CI/CD workflows

Required Skills: Python programming, Generative AI frameworks LangChain, Generative AI frameworks LlamaIndex, Natural Language Processing (NLP) concepts, Vector embeddings, Semantic search, Cloud platforms AWS, Cloud platforms Azure, Cloud platforms GCP, Claude Certified Architect – Foundations (CCA-F) certification, Agentic AI systems LangGraph, Agentic AI systems AutoGen, Vector databases Pinecone, Vector databases Chroma, Vector databases pgvector, Vector databases OpenSearch, Model Context Protocol (MCP), Fine-tuning open-source LLMs, Docker, Git, CI/CD workflows

Benefits: Annual performance based discretionary bonus, 3 Medical plans, Dental and Vision, Life, AD&D and other voluntary insurance, 401K retirement plan, 4% matching and 100% vested upon enrollment, Health Savings Account (HSA), Flexible Spending Account (FSA), Health, Dependent Care, Commuter, 100% paid parental leave for all new parents with eligible tenure, Building Healthy Families program if enrolled through Medical plan, Generous Paid Time Off (PTO) policy, 9 company holidays plus 1 floating holiday, College savings and student loan repayment assistance, Monthly cell phone stipend, Access to wellness programs at no cost if enrolled through Medical plan, including:, Employee Assistance Program at no cost, Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco—are expected to live within a reasonable commuting distance and attend the office at least three days or more per week