Associate Architect - Data Science
AX Associate Architect - Data Science
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Axonect is a Sri Lanka-based AI-powered platform company and wholly owned subsidiary of Axiata Group Berhad, providing telecommunications operators with a suite of platforms for API management, integration, orchestration, and digital transformation.
Axonect
Employee count: 1001-5000
Sri Lanka only
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Key Responsibilities
- Define and drive enterprise-level architecture for Data Science, AI/ML, Generative AI, and Agentic AI solutions, ensuring alignment with organizational strategy and technology roadmaps
- Lead the design of scalable, secure, and high-performance AI platforms, covering data, model, orchestration, and serving layers across multiple business domains
- Establish architectural standards, design patterns, and reusable frameworks for Machine Learning, Deep Learning, Generative AI, and Agentic AI systems
- Own and govern the end-to-end AI/ML ecosystem, including data pipelines, feature stores, model training environments, inference layers, and monitoring systems
- Define and institutionalize best practices for MLOps and LLMOps, at scale, including multi-environment deployments, governance, observability, cost optimization, and lifecycle management
- Architect and oversee enterprise-grade Generative AI and Agentic AI platforms, including RAG architectures, multi-agent orchestration, tool integration, memory management, and guardrails
- Provide architectural oversight and technical direction across multiple teams, ensuring consistency, scalability, and reusability of AI solutions
- Collaborate with senior stakeholders (Product, Engineering, Data, Security, Governance) to translate business strategy into AI driven solution blueprints
- Lead technology evaluations, define platform strategies, and guide adoption of emerging tools, frameworks, and AI capabilities
- Ensure compliance with AI governance frameworks, including security, privacy, ethical AI, and regulatory standards
- Mentor Tech Leads and senior engineers, driving architectural maturity and capability building across the organization
- Act as a key contributor in Architecture Review Boards (ARB) and strategic decision-making forums
Person Specifications
- Bachelor's degree in IT, Computer Science, Software Engineering, Data Science, Engineering, Mathematics, or a related field
- 8β10 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
Technical Expertise
- 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
Leadership and Architectural Skills
- 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
Vendor submissions - 12 months
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About the job
Apply before
Oct 15, 2026
Posted on
Aug 16, 2026
Job type
Full Time
Experience level
Entry-level Mid-level
Education
Bachelor degree
Experience
8 years minimum
Location requirements
Suggest an edit
Sri Lanka
Hiring timezones
Show UTC offsets
Sri Lanka +/- 0 hours
Job categories
Data Science AI ML Architecture Machine Learning Engineering Generative AI AI Solutions Architecture Senior Data Science Architect Data Analytics Architect Associate Technical Architect Associate Solutions Architect Associate Solution Architect AI Data Architect
Skills
Data Science AI ML Machine Learning Deep Learning Generative AI Agentic AI Python PyTorch TensorFlow scikit learn MLOps LLMOps RAG Data Engineering AWS Azure GCP GuardRails
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About Axonect
Learn more about Axonect and their company culture.
View company profile
Axonect (formerly Axiata Digital Labs) is a fully owned subsidiary of Axiata Group Berhad and a globally recognized platform company redefining how telcos drive platformization at scale by operationalizing AI with speed and measurable impact. Renowned for its engineering excellence, Axonect is a six-time TM Forum Catalyst Award winner, two-time TM Forum Excellence Award winner, and four-time GSMA GLOMO Award winner (including with Axiata Group). The Company's flagship AI-native platforms include APIM, the ultra-low-latency API Manager purpose-built for telco networks, and Fabric, the unified DevOps and integration platform for accelerating telco innovation. Its APIM and Telco Digital Marketplace have also been recognized by Gartner for their industry-leading impact.
Tech stack
Learn about the tools and technologies that Axonect uses to build, market, and sell its products.
View tech stack
Spring Boot
Python
Java
C
Kubernetes
MySQL
PostgreSQL
MongoDB
Oracle
React
Kafka
2 more
Axonect employees can create an account to update this tech stack.
Apply now
Job expired?
Please let Axonect know you found this job on Himalayas. This helps us grow!
Apply now
About the job
Apply before
Oct 15, 2026
Posted on
Aug 16, 2026
Job type
Full Time
Experience level
Entry-level Mid-level
Education
Bachelor degree
Experience
8 years minimum
Location requirements
Suggest an edit
Sri Lanka
Hiring timezones
Show UTC offsets
Sri Lanka +/- 0 hours
Job categories
Data Science AI ML Architecture Machine Learning Engineering Generative AI AI Solutions Architecture Senior Data Science Architect Data Analytics Architect Associate Technical Architect Associate Solutions Architect Associate Solution Architect AI Data Architect
Skills
Data Science AI ML Machine Learning Deep Learning Generative AI Agentic AI Python PyTorch TensorFlow scikit learn MLOps LLMOps RAG Data Engineering AWS Azure GCP GuardRails
Browse similar jobs
Remote Entry-level Data-Science Jobs Remote Full Time Data-Science Jobs Remote Entry-level Data-Science Jobs in Sri Lanka Remote Full Time Jobs in Sri Lanka Remote Data-Science Jobs in Sri Lanka
Claim this profile AX Axonect
Company size
1001-5000 employees
Founded in
2019
Chief executive officer
Anthony Rodrigo
Markets
Telecommunications AI API Management DevOps Digital Platforms Cloud Computing Software Development Integration Platforms Digital Marketplaces Enterprise Software
Employees live in
Sri Lanka
View company profile
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