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About the Role
Within the AI & Data Business Unit, you will help organizations transform their business processes through Generative and Agentic AI. Working alongside Data Scientists, Machine Learning Engineers, Solution Architects, and Platform Engineers, and working step-by-step with customers, you will design, build, and deploy enterprise-grade AI systems that create measurable business value.
Responsibilities
- Assist the GenAI Solution Architect in designing scalable and secure AI solutions.
- Develop applications powered by foundation models, both self-managed and API-accessible, that meet business needs and comply with applicable regulations.
- Design prompting and orchestration strategies to improve reasoning, controllability, reliability, and user experience.
- Design and optimize Retrieval-Augmented Generation (RAG) systems leveraging enterprise knowledge sources, semantic search, and source attribution.
- Design, implement, and optimize agentic AI systems using orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or equivalent.
- Develop AI agents capable of tool usage, workflow orchestration, planning, reasoning, memory management, and human-in-the-loop interactions.
- Architect AI solutions integrating enterprise systems, APIs, databases, and knowledge repositories.
- Evaluate and select the most appropriate models based on business requirements, performance, latency, and cost constraints.
- Monitor AI system performance in production and contribute to observability, evaluation, and governance practices.
- Conduct research on the latest advances in foundation models, multimodal AI, and agentic AI systems.
Requirements
- Hold a Master’s degree from an engineering school or an advanced degree in computer science, engineering, or artificial intelligence.
- At least one year of technical experience building creative AI solutions.
- Proficient in Python programming and code versioning.
- Experience with Generative AI frameworks (LangChain, LangGraph, RAG), advanced prompting techniques.
- Familiarity with Open-Source AI ecosystems (Antropic, OpenAI).
- Familiarity with cloud-native architectures and modern AI deployment practices.
- Fluent in English.
Skills
- Generative AI
- Agentic AI
- Data Science
- Machine Learning
- Solution Architecture
- Platform Engineering
- Python
- Code Versioning
- LangChain
- LangGraph
- RAG
- Prompting
- Orchestration
- Retrieval-Augmented Generation (RAG)
- Semantic Search
- Agentic AI Systems
- LangGraph
- CrewAI
- AutoGen
- Semantic Kernel
- AI Agents
- Tool Usage
- Workflow Orchestration
- Planning
- Reasoning
- Memory Management
- Human-in-the-loop
- Enterprise Systems Integration
- API Integration
- Database Integration
- Knowledge Repositories
- Model Evaluation
- Performance Monitoring
- Cost Optimization
- AI System Monitoring
- Observability
- AI Governance
- Foundation Models
- Multimodal AI
Location
- Worldwide
Work Type
- Full-time
Experience Level
- Entry Level
- 1+ year experience
Education Level
- Master's degree
- Advanced degree in computer science, engineering, or artificial intelligence
Benefits
- Work-life balance
About the Company
- Sia is a next-generation, global management consulting group founded in 1999, born digital.
- Our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility.
- We are optimists for change and 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.
Equal Opportunity
- 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.