Generative AI Consultant

Sia•San Francisco, CA

About The Position

Sia is a global management consulting group whose AI & Data Business Unit combines data science, Generative AI, and digital solutions. The unit has more than 350 experts worldwide and 12 R&D labs in Europe and North America. The Generative AI Consultant designs and implements GenAI and LLM solutions across industries, bridging technical teams such as Data Science, ML, and Platform with business needs. The role advises clients on appropriate approaches—including RAG, agents, and fine-tuning—and develops robust AI products through benchmarking, prototyping, and validation. It coordinates the AI workflow and model integration, with attention to performance, security, scalability, and infrastructure. Training is provided. The role includes building and deploying LLM applications, implementing MLOps practices, evaluating and improving model quality and safety, and supporting responsible AI and compliance. Consultants work with cross-functional teams and clients, communicate technical concepts to varied audiences, document practices, and contribute to internal research and knowledge sharing.

Requirements

Master's degree, 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, including demonstrated experience on complex AI projects involving LLMs and Generative AI.
Strong programming skills, particularly in Python.
Proficiency in at least one major GenAI application framework, such as LangChain or LlamaIndex.
Experience in NLP/NLU, vector embeddings, and semantic search.
Hands-on experience fine-tuning LLMs.
Mastery of advanced prompting techniques such as Chain/Tree/Graph of Thought and ReAct.
Knowledge of proprietary and open-source model ecosystems, including OpenAI, Anthropic, Mistral AI, Hugging Face, and models hosted on AWS, Azure, or GCP.
Experience with AWS, Azure, or GCP and their associated MLOps or AI services.
Familiarity with MLOps principles, CI/CD tools, Docker, and Git.
Excellent written and verbal communication skills, including the ability to explain complex technical concepts simply.
Strong analytical and complex problem-solving abilities.
Ability to collaborate effectively with diverse profiles as a team player.
Curiosity, a pioneering spirit, and commitment to continuous learning.

Nice To Haves

Experience building agentic AI systems, such as with LangGraph or AutoGen.
Experience with vector databases such as pgvector, Pinecone, Chroma, or OpenSearch.
Experience developing conversational AI systems or chatbots.
Familiarity with deep learning frameworks such as PyTorch or 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.

Responsibilities

Design, build, train, fine-tune, and deploy AI models using LLMs and other generative techniques.
Assist the GenAI Solution Architect in designing robust, scalable, and secure applications.
Develop GenAI-powered applications using self-managed or API-accessible models to meet business needs and comply with applicable regulations, including GDPR and the EU AI Act.
Design and optimize advanced prompts and guardrails to improve analytical capabilities, outputs, user experience, and interaction control.
Design and implement RAG architectures that retrieve information from selected knowledge sources and provide source attribution.
Select and fine-tune appropriate models, including multimodal and small language models, to create high-quality content and business value.
Apply MLOps practices across the GenAI lifecycle, including automated CI/CD pipelines, versioning, monitoring, and production maintenance on cloud platforms.
Integrate models with existing systems and external tools or APIs, potentially using standardized protocols such as MCP.
Develop and execute evaluation frameworks measuring performance, reliability, fairness, and safety.
Support Responsible AI practices and help teams and clients navigate security and compliance processes.
Research advances in GenAI techniques, technologies, and frameworks; experiment with new approaches and contribute to internal knowledge sharing.
Collaborate across functional teams and communicate technical concepts clearly to technical and non-technical stakeholders.
Document processes, methodologies, and best practices.
Identify when use cases are better suited to Generative AI versus traditional NLP applications.

Benefits

Base salary starting at $105,000, commensurate with experience and qualifications.
Annual discretionary bonus.
Healthcare coverage with three medical plan options: Anthem EPO HSA, EPO HSA MERP, and PPO.
Dental and vision coverage through MetLife.
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.
Nine company holidays and one floating holiday.
401(k) plan with 4% matching, vested on day one.
College save-up plan and college loan repayment plan.
Monthly cell phone stipend.
Pre-tax account for parking and mass transit.
Gym reimbursement.
LiveHealth Online.
Well-being Coach.
Building Healthy Families Program.