drjobs Copy of Senior Generative AI Consultant

Copy of Senior Generative AI Consultant

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Job Location drjobs

Charlotte - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Join us as an experienced Generative AI Specialist designing and implementing cuttingedge GenAI/LLM solutions across diverse industries. Youll act as a vital bridge between technical teams (Data Science ML Platform) to deliver businesscentric AI value. Youll guide clients on the optimal pathusing techniques like RAG agents or finetuningfor costeffective impact. 

Your responsibilities extend beyond prompting to architecting robust AI products via benchmarking prototyping and validation. Youll orchestrate the full AI workflow ensuring seamless model integration optimized for performance security and scale while tackling infrastructure challenges. We provide extensive training to support your success. If youre driven to push AI boundaries and help clients rapidly adopt GenAI with confidence apply to make a real difference. 

Responsibilities: 

  • LLM/GenAI System Development:Design build train finetune and deploy sophisticated AI models leveraging LLMs (e.g. GPTx 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 selfmanaged and APIaccessible) 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. fewshot Chain/Tree/Graph of Thought ReAct Selfreflection guardrails) balancing simplicity and complexity to enhance analytical capabilities refine outputs improve user experience and control interactions. 
  • RAG Implementation:Design and implement RetrievalAugmented Generation (RAG) architectures to improve accuracy and relevance by retrieving information from predetermined knowledge sources providing traceability (source attribution). 
  • Model Selection & FineTuning:Select and finetune appropriate models (including multimodal VLM SLM Visual Language Models Small Language Models) to create higherquality 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 endtoend 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 crossfunctional teams communicating complex technical concepts clearly to diverse stakeholders (both technical and nontechnical). 
  • 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). 

Qualifications :

Education:

  • Masters degree or Engineering degree (MSc MEng or equivalent) in Computer Science Engineering Data Science or a related quantitative field. 

Experience:

  • 4 years of handson experience in machine learning software engineering or data science with demonstrated experience on complex AI projects specifically involving LLMs and Generative AI. 

Required Technical Skills: 

  • Strong programming skills particularly inPython. 
  • Proficiency in at least one major GenAI application framework (LangChain LlamaIndex etc.). 
  • Proven experience inNLP/NLUvector embeddings andsemantic search. 
  • Handson experience withfinetuningLLMs. 
  • Mastery ofadvanced prompting techniques(Chain/Tree/Graph of Thought ReAct etc.). 
  • Knowledge of both proprietary and opensource 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 withMLOps principles CI/CD toolsDocker andGit.

Soft Skills: 

  • Excellent communication skills (written and verbal) ability to explain complex technical concepts simply.
  • Strong analytical and complex problemsolving abilities.
  • Team player with the ability to collaborate effectively with diverse profiles.
  • Curiosity pioneering spirit and a demonstrated commitment to continuous learning.

Preferred Qualifications: 

  • 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.


Additional Information :

Why Join Sia 

Excellence Entrepreneurship Innovation Teamwork Care & Support Employee Wellbeing 

These are the six core values that guide all our actions.  

Your experience at Sia will be enriched by a(n): 

Compensation & Benefits 

Diversity Equity Inclusion & Belonging 

At Sia we believe in fostering a diverse equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information.  

Sia is an equal opportunity employer. All aspects of employment including hiring promotion remuneration or discipline are based solely on performance competence conduct or business needs. 

Office Workplace Guidelines  

Sia is committed to providing a flexible workplace environment that supports client business and market needs. Consultants located in our primary market office locationsNew York City Charlotte Seattle and San Franciscoare expected to live within a reasonable commuting distance and attend the office at least three days per week. For Consultants outside of our primary markets we can offer more flexible inperson requirements in accordance with your location. 

Work Authorization & Sponsorship 

At this time Sia does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e. H1B visa F1 visa (OPT) TN visa or any other nonimmigrant status). 

Sia is an equal opportunity employer. All aspects of employment including hiring promotion remuneration or discipline are based solely on performance competence conduct or business needs. 


Remote Work :

No


Employment Type :

Fulltime

Employment Type

Full-time

Department / Functional Area

Data Science

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