Associate Consultant, Generative AI

We are growing our Generative AI consulting practice and looking for motivated recent graduates to join as GenAI Consultants. Youll work at the intersection of cutting-edge AI and real business problems helping clients across industries design build and deploy LLM-powered solutions that create tangible value.

This is a hands-on technical role. Youll contribute to the full lifecycle of GenAI projects: from architecture and prototyping through to production deployment evaluation and iteration. We invest heavily in your development and expect you to do the same.

What Youll Do

Youll design and implement GenAI/LLM solutions leveraging models such as Claude GPT Gemini Llama and Mistral selecting the right approach (RAG agents fine-tuning prompt engineering) for each client context. Youll support senior architects in designing scalable secure and compliant AI applications while building hands-on experience across the full stack.

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). 

Qualifications :

• Bachelors Degree Required
• Recent graduate (within 2 years) in CS Engineering Data Science or equivalent
• Strong Python programming skills
• Familiarity with at least one GenAI framework (LangChain LlamaIndex or similar)
• Foundational knowledge of NLP concepts vector embeddings and semantic search
• Exposure to cloud platforms (AWS Azure or GCP)
• Ability to explain technical concepts clearly to diverse audiences

Claude Certified Architect (CCA) Requirement

All candidates must hold or demonstrate the clear ability to obtain within one week of hire the Claude Certified Architect Foundations (CCA-F) certification from Anthropic.

Preferred Qualifications

• Masters Degree Preferred
• Prior experience building agentic AI systems (LangGraph AutoGen etc)
• Familiarity with vector databases (Pinecone Chroma pgvector OpenSearch)
• Experience with or understanding of the Model Context Protocol (MCP)
• Hands-on fine-tuning experience with open-source LLMs
• Familiarity with Docker Git and CI/CD workflows

Additional Information :

Compensation & Benefits 

We believe in supporting our team professionally and personally. Heres a snapshot of the comprehensive benefits youll enjoy as part of Sia. 

Competitive Compensation 

• Annual Base Salary Range: $ annually commensurate with experience and qualifications
• Annual performance based discretionary bonus 

Robust Health Coverage 

• 3 Medical plans  
• Dental and Vision  
• Life AD&D and other voluntary insurance  

Tax-Advantaged Accounts 

• 401K retirement plan 
• 4% matching and 100% vested upon enrollment 
• Health Savings Account (HSA) 
• Flexible Spending Account (FSA)  
• Health Dependent Care Commuter 

Family Friendly Benefits  

• 100% paid parental leave for all new parents with eligible tenure 
• Building Healthy Families program if enrolled through Medical plan 

Time Off to Recharge 

• Generous Paid Time Off (PTO) policy 
• 9 company holidays plus 1 floating holiday  

Extras that Make Life Easier 

• College savings and student loan repayment assistance 
• Monthly cell phone stipend 
• Access to wellness programs at no cost if enrolled through Medical plan including: 
• Employee Assistance Program at no cost 

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 or more per week. For Consultants outside of our primary markets we can offer more flexible in-person requirements in accordance with your location. 

Work Authorization & Sponsorship 

At this time Sia does not intend to employ any applicant who will require either now or in the future employment visa sponsorship or sponsorship for work authorization (i.e. H1-B visa F-1/OPT) or STEM OPT TN etc).

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 :

Full-time