Consultant - AI Engineer

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. 

Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting.

In 2024 we announced our exciting partnership with Blackstone as our first financial investor since inception to support our company’s continued growth. We have also been ranked by Vault as a Top 20 Consulting Firm to work for in the APAC region for 2025.

We are looking for a talented AI engineer to join our team where you will harness model capabilities to implement cutting-edge algorithms and solutions across myriad industries

You will serve as a pivotal link between Data Scientists, ML and Platform Engineers to unleash the potential of Generative AI technology by implementing business-centric solutions. You will help customers find the appropriate level of refinement among semantic search, RAG, agents, and ultimately fine-tuning to reach their value delivery threshold in the most cost-effective way. 

Beyond crafting prompts, you will be responsible for designing and building robust and scalable products starting by rapidly iterating prototypes and validating product ideas. Your expertise in orchestrating the entire AI workflow will ensure the seamless integration of advanced models' capabilities into applications, optimizing performance, security, compliance, scalability, and efficiency. You will competently navigate between prompts, chains, and agents while mastering the underlying infrastructure challenges.

We invest in your success through comprehensive training, combining internal programs with resources from our technology partners. 

Join us if you are passionate about pushing the boundaries of AI technology and making a significant impact in enabling our customers to create GenAI-powered applications with confidence and a fast time to market.

Key responsibilities:

You are part of a cross-functional consulting team that drives the adoption of Generative AI in every imaginable sector, working step-by-step with customers to understand business requirements to design then build bespoke GenAI solutions.

• Build applications powered by LLMs (OpenAI, Claude, Mistral, etc.) using LangChain, LlamaIndex, and related GenAI frameworks. 
• Implement RAG pipelines with vector DBs (Pinecone, FAISS, pgvector, ChromaDB) for grounding LLM responses with internal knowledge 
• Develop multimodal AI solutions (text, audio, image) and build autonomous agents where relevant. 
• Drive MLOps excellence: CI/CD (ML pipelines), drift detection, canary releases, retraining schedules. 
• Design robust and reusable prompt templates using CoT, ReAct, Graph-of-Thought, and Agent flows. 
• Continuously improve model reliability, relevance, and UX by tuning prompt flows 
• Deploy GenAI models on AWS/GCP/Azure using services like SageMaker, Bedrock, Vertex AI 
• Ensure performance observability, security guardrails, and compliance (GDPR, Responsible AI) 
• Work with DevOps teams to integrate GenAI solutions into microservices and APIs (FastAPI/Flask) 
• Benchmark open-source and commercial LLMs for use-case fit and cost-performance tradeoffs 
• Evaluate fine-tuning strategies (PEFT, LoRA, RLHF) where applicable for proprietary use cases 
• Support solution architects and cross-functional teams in delivering PoCs and enterprise-grade rollouts 
• Document frameworks, best practices, risks, and learnings for future scaling 

• Bachelor’s/master’s degree in computer science, AI, or a related field from a top university.
• 2+ years of experience in NLP/ML/AI with at least 1 year hands-on in GenAI.
• Strong coding skills in Python with frameworks like PyTorch, Hugging Face, LangChain, and LlamaIndex.
• Proven experience with cloud-based AI services (AWS/GCP/Azure/Ali/Tencent) and APIs (OpenAI, Anthropic, Hugging Face).
• Experience with vector databases: Qdrant, pgvector, Pinecone, FAISS, Milvus, or Weaviate.
• Familiarity with prompt engineering, transformer architectures, and embedding techniques.
• Excellent communication skills, with the ability to convey complex technical concepts to both highly technical and also non-technical stakeholders.
• Problem-solving aptitude and strong business acumen.
• Ability to collaborate with diverse teams.
• Fluency in English and Cantonese is a must. Additional proficiency in any other Asian languages would be advantageous.

This will be the right role for you if you like to:

• Be involved in challenging strategic projects with leading banks and financial institutions
• Be client-facing and have autonomy in your role
• Be part of a dynamic, multi-cultural and fast-growing team
• Grow your career with a company that is performance driven

Sia Partners 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.

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.