Generative AI Consultant

Sia•Charlotte, NC

1d•$81,000 - $102,000•Hybrid

About The Position

Sia is hiring an experienced Generative AI Specialist to design and implement GenAI and large language model solutions across diverse industries. The role bridges technical teams, including Data Science, Machine Learning, and Platform, to deliver business-focused AI outcomes and advise clients on approaches such as retrieval-augmented generation, agents, and fine-tuning. The consultant will architect and develop AI products through benchmarking, prototyping, and validation, and coordinate AI workflows and model integration with attention to performance, security, scalability, and infrastructure. Sia provides extensive training.

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 work 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.
Proven experience in NLP/NLU, vector embeddings, and semantic search.
Hands-on experience fine-tuning LLMs.
Mastery of advanced prompting techniques, including 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 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 member.
Curiosity, pioneering spirit, and demonstrated 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 sophisticated AI models using large language models and other generative techniques.
Assist the GenAI Solution Architect in designing robust, scalable, and secure applications.
Develop applications powered by self-managed or API-accessible GenAI models that meet business needs and comply with applicable regulations, model licenses, and requirements such as GDPR and the EU AI Act.
Design and optimize advanced prompts and prompting methods, including few-shot prompting, Chain/Tree/Graph of Thought, ReAct, self-reflection, and guardrails.
Design and implement retrieval-augmented generation architectures that improve accuracy and relevance by retrieving information from knowledge sources and providing source attribution.
Select and fine-tune appropriate models, including multimodal, visual language, and small language models, to generate content and maximize business value.
Implement MLOps practices for the GenAI lifecycle, including automated CI/CD pipelines, versioning, monitoring, and production maintenance on cloud platforms.
Integrate AI models with existing systems and external tools or APIs, potentially using standardized protocols such as MCP.
Develop and execute evaluation frameworks to measure model performance, reliability, fairness, and safety.
Promote Responsible AI and help teams and clients navigate end-to-end security and compliance processes.
Track advancements in GenAI techniques, technologies, and frameworks; experiment with new approaches and contribute to internal knowledge sharing.
Collaborate across functions and communicate technical concepts clearly to technical and non-technical stakeholders.
Document processes, methodologies, and best practices.
Distinguish use cases appropriate for Generative AI from those better suited to traditional NLP applications.

Benefits

Annual discretionary bonus.
Three medical plan options through Anthem.
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.
Wellness and incentive programs, including gym reimbursement, LiveHealth Online, a well-being coach, and the Building Healthy Families Program.