Senior NLP Solutions Architect for Enterprise AI (Durban)

Placements24

Durban

Hybrid

ZAR 1,500,000 - 3,200,000

Full time

4 days ago

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Benefits offered by this job

Competitive salary

Medical aid

Retirement fund

Learning opportunities

International travel

Flexible work arrangements

Job summary

Placements24 is seeking an experienced Senior AI Solutions Architect in Durban to design and lead NLP-driven AI solutions for diverse clients. The role focuses on translating business needs into scalable technical designs and guiding cross-functional teams through implementation.

The ideal candidate will have 8+ years in software architecture with 5+ years in AI/NLP, strong leadership, and a track record of delivering enterprise NLP projects using spaCy, Hugging Face, and transformers in cloud

Qualifications

Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
Minimum of 8 years of experience in software architecture or solutions design, with at least 5 years focused on AI/ML and NLP.
Proven track record of designing and delivering complex NLP-based solutions in an enterprise environment.
Deep understanding of NLP techniques, algorithms, and frameworks (e.g., spaCy, NLTK, Hugging Face Transformers, BERT, GPT).
Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
Proficiency in programming languages such as Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Strong knowledge of data processing, feature engineering, and model evaluation for NLP tasks.
Excellent communication, presentation, and client-facing skills.
Ability to lead technical discussions and influence decision-making.
Experience with MLOps principles and practices is a plus.
Familiarity with the South African market and business context is advantageous.

Responsibilities

Design and architect end-to-end AI solutions incorporating NLP technologies across clients.
Collaborate with stakeholders to translate requirements into robust solution designs.
Evaluate and select AI/ML models and tools for NLP use cases.
Provide technical leadership to development teams through design and implementation.
Develop proof-of-concepts and prototypes to demonstrate value.
Ensure solutions are scalable, secure, and maintainable.
Stay current with advancements in NLP and related fields.
Create architecture diagrams, design specs, and implementation guides.
Present solutions to technical and non-technical audiences.
Mentor junior engineers and architects on AI/NLP best practices.