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Sia Experience · 1 day ago

Senior Generative AI Consultant

48 Wall St, New York, NY 10043, USA

Full-time

Onsite

Mid, Senior Level

$131K/yr - $131K/yr

4+ years exp

Sia is a next-generation, global management consulting group seeking an experienced Generative AI Specialist. The role involves designing and implementing cutting-edge GenAI/LLM solutions across diverse industries and acting as a bridge between technical teams to deliver business-centric AI value.

AdvertisingCreative AgencyMarketing

No H1B

U.S. Citizen Only

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)

Qualification

Generative AIMachine LearningPythonNLP/NLUMLOpsCloud PlatformsAdvanced PromptingModel Fine-TuningAnalytical SkillsTeam CollaborationCommunication SkillsContinuous Learning

Required

Master's degree or Engineering degree (MSc, MEng, or equivalent) in Computer Science, Engineering, Data Science, or a related quantitative field

4+ 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

Prior Management Consulting experience

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