What are the responsibilities and job description for the GenAI Architect position at Quotacom?
Our client is a forward-thinking consultancy at the forefront of technology and innovation, dedicated to empowering organizations to thrive in an ever-evolving digital landscape. Our clients mission is to help businesses harness the power of data and artificial intelligence to drive growth, enhance customer experiences, and optimize operations.
As they enter their next phase of expansion, they are seeking a GenAI Architect to drive cutting-edge AI/ML projects and turn complex data into actionable insights. You’ll thrive in a client-facing, project-based role, leading teams to design, build, and deploy enterprise-scale models across diverse use cases.
Responsibilities
- Lead project teams and act as the technical architect on AI/ML initiatives.
- Analyze large, complex datasets and translate them into impactful insights using ML and AI techniques.
- Build, implement, and deploy models into production environments, leveraging best practices across cloud and on-prem solutions.
- Collaborate with clients to define requirements, architect solutions, and present technical recommendations.
- Coach and mentor junior team members while driving project success.
Experience
- Proven track record building large-scale AI/ML solutions in enterprise or consulting environments.
- 5 years of hands-on experience in statistical modelling, analytics, and machine learning.
- Advanced academic background (Master’s in Statistics, Math, Computer Science, or related; PhD is a strong plus).
- Expertise in a wide range of ML and AI techniques: regression models, cluster analysis, predictive modeling, neural networks, deep learning, decision trees, ensemble methods, and more.
- Strong programming skills in Python, TensorFlow, PyTorch, Hugging Face Transformers, and other ML frameworks for model development and experimentation.
- Deep understanding of NLP fundamentals, including tokenization, embeddings, language modeling, sequence labeling, and text generation.
- Experience with modern AI tooling: LangChain, vector databases, prompt engineering, and large-scale data embedding.
- Solid knowledge of relational (SQL) and non-relational (NoSQL) databases, and distributed systems like Hadoop and Spark.
- Ability to turn complex datasets into compelling, actionable insights using visualization tools (RShiny, Python, Tableau, Power BI, D3.js, etc.).
- Passion for mentoring and leading teams, fostering growth and knowledge sharing.
- Experience managing data workflows: wrangling, exploring, transforming, and analyzing diverse datasets.
- Familiarity with monitoring model performance, tuning, and ensuring high-quality data.
- Excellent communication skills with the ability to engage stakeholders at both technical and business levels.
- Strong curiosity and thought leadership, staying ahead of AI/ML trends and research.
- Experience deploying ML models into production on cloud platforms such as Google Cloud Platform, Azure, or AWS.
Please note, our client is unable to support visa transfers at this stage and can hire US citizens or Greencard holders.
If you feel you have the required skills, please get in touch with a copy of your CV! Or email me directly at pia@quotacom.com
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