Generative AI Consultant

Sia is a next-generation global management consulting group that specializes in AI and data solutions. The Generative AI Consultant will design and implement cutting-edge GenAI/LLM solutions, bridging technical teams to deliver business-centric AI value across diverse industries.

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)

Skills

• 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
• 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

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

Company Overview