Generative AI Consultant at Sia Experience · 415…

Summary: Sia Experience is a next-generation, global management consulting group specializing in AI and data solutions. They are seeking a Generative AI Consultant to design and implement GenAI/LLM solutions, bridging technical teams to deliver AI value and guiding clients in adopting these technologies effectively. 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: - Master's degree or Engineering degree (or equivalent) in Computer Science, Engineering, Data Science, or a related quantitative field - 1-3+ years of hands-on experience in machine learning, software engineering, or data science, with demonstrated experience on complex AI projects specifically involving LLMs and Generative AI - Strong programming skills, particularly in Python - Proficiency in at least one major GenAI application framework (LangChain, LlamaIndex, etc.) - Proven experience in NLP/NLU, vector embeddings, and semantic search - Hands-on experience with fine-tuning LLMs - Mastery of advanced prompting techniques (Chain/Tree/Graph of Thought, ReAct, etc.) - Knowledge of both proprietary and open-source model ecosystems (OpenAI, Anthropic, Mistral AI, Hugging Face, models hosted on AWS/Azure/GCP, etc.) - Experience with Cloud platforms (AWS, Azure, or GCP) and their associated MLOps/AI services - Familiarity with MLOps principles, CI/CD tools, Docker, and Git - Excellent communication skills (written and verbal), ability to explain complex technical concepts simply - Strong analytical and complex problem-solving abilities - Team player with the ability to collaborate effectively with diverse profiles - Curiosity, pioneering spirit, and a demonstrated commitment to continuous learning Preferred Qualifications: - Experience building agentic AI systems (e.g., LangGraph, AutoGen) - Experience with vector databases (e.g., pgvector, Pinecone, Chroma, OpenSearch) - Experience developing conversational AI systems / chatbots - Familiarity with deep learning frameworks (PyTorch, TensorFlow) - Understanding of or experience with protocols and standards for connecting LLMs to external tools and databases, such as Model Context Protocol (MCP) - Experience deploying models at scale in production environments Required Skills: Python, LangChain, LlamaIndex, NLP, NLU, Vector embeddings, Semantic search, LLM fine-tuning, Advanced prompting techniques, OpenAI models, Anthropic models, Mistral AI models, Hugging Face models, AWS, Azure, GCP, MLOps, CI/CD, Docker, Git Benefits: Annual Discretionary Bonus, Healthcare coverage that includes 3 medical plan options: Anthem – EPO HSA, EPO HSA MERP, and PPO; dental and vision through MetLife; and life insurance policies through Mutual of Omaha, Flexible Spending Account (FSA), Paid Time Off, Parental leave paid at 100% of base pay for all new parents, 9 Company Holidays + 1 Floating Holiday, 401(k) Plan - 4% matching and vested on day 1, College save-up plan & college loan repayment plan, Monthly cell phone stipend, Pre-tax account for Parking and Mass Transit, Sia provides several wellness and incentive programs free of charge through the firm medical plan – Anthem - such as: Gym Reimbursement, LiveHealth Online, Well-being Coach, Building Healthy Families Program, And much more