Associate Architect - Data Science
About the role
The Associate Architect - Data Science at Bridge BSS will define and drive enterprise-level architecture for Data Science, AI/ML, Generative AI, and Agentic AI solutions. The role involves leading the design of scalable and secure AI platforms, establishing architectural standards, and overseeing the end-to-end AI/ML ecosystem, including data pipelines, model training, and monitoring systems. The position requires collaboration with senior stakeholders to translate business strategy into AI-driven solutions, ensuring compliance with governance frameworks, and mentoring technical leads and engineers. Candidates should have a strong background in data science, AI, and solution architecture, with significant experience in production-grade environments and enterprise-scale system design. The company is a global leader in IT outsourcing and business support services, offering opportunities to work with cutting-edge AI solutions and innovative teams.
Must have
- Bachelor's degree in IT, Computer Science, Software Engineering, Data Science, Engineering, Mathematics, or a related field
- 8–10 years of professional experience in Data Science, AI, or ML, working in production-grade environments, with significant experience in solution architecture and enterprise-scale system design
- Deep expertise in Machine Learning and Deep Learning, including advanced model design, optimization, and large-scale deployment
- Extensive hands-on and architectural experience in Generative AI (LLMs, RAG pipelines, embeddings, fine-tuning, evaluation frameworks)
- Strong experience designing Agentic AI systems (multi-agent architectures, orchestration frameworks, tool ecosystems, autonomous decision-making)
- Proven track record in implementing MLOps practices at scale (CI/CD for ML, automated pipelines, monitoring, retraining strategies)
- Advanced expertise in LLMOps, including prompt lifecycle management, evaluation pipelines, guardrails, observability, latency, and cost optimization
- Strong programming skills in Python and deep familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)
- Experience with cloud platforms (AWS, Azure, or GCP) and cloud?native platforms & services (e.g., Copilot Studio, Bedrock, Vertex AI, Azure OpenAI)
- Strong understanding of data engineering and data platform architecture (ETL/ELT pipelines, feature stores, data lakes/warehouses)
- Experience with distributed systems, microservices, APIs, and event driven architectures in AI contexts
- Strong system thinking and ability to design end-to-end enterprise AI architectures
- Proven leadership in guiding multiple teams and influencing senior stakeholders
- Experience defining and enforcing architecture governance, standards, and best practices
- Excellent communication and stakeholder management skills, including C-level engagement
- Strong focus on scalability, reliability, security, and cost-efficiency in AI systems
- Ability to balance innovation with practical, production-grade delivery
Technologies
- Agentic AI
- AWS
- Azure
- CI/CD
- Data Engineering
- Data Lake
- Data Pipelines
- Data Science
- Deep Learning
- ELT
- Embeddings
- ETL
- Event-Driven Architecture
- Fine-Tuning
- GCP
- Generative AI
- LLM
- LLMOps
- Machine Learning
- Microservices
- Microsoft Copilot
- MLOps
- Observability
- OpenAI
- Python
- PyTorch
- RAG
- Responsible AI
- scikit-learn
- TensorFlow
- Vertex AI
Highlights
The role is based in Colombo, Sri Lanka, with onsite or hybrid work modes. It is a full-time contract position with the possibility of extension. Applicants must have a bachelor's degree in a relevant field and 8–10 years of professional experience in Data Science, AI, or ML. The company is known for its global presence and focus on advanced technology solutions.
Jobs across Sri Lanka, watched for you.Colombo, Sri Lanka