We are seeking an experienced
AI Architect
to lead the design, architecture, and implementation of enterprise-scale Artificial Intelligence and Generative AI solutions. The ideal candidate will possess deep expertise in AI/ML technologies, Large Language Models (LLMs), cloud-native architectures, and modern software engineering practices.
This role will serve as the technical authority for AI initiatives, partnering with business leaders, product teams, data scientists, and engineering teams to define AI strategies, establish architecture standards, and deliver scalable, secure, and production-ready AI solutions.
Key Responsibilities
AI Strategy & Architecture
Define and drive the organization's AI and Generative AI architecture roadmap.
Design end-to-end AI platforms and enterprise AI solutions aligned with business objectives.
Establish best practices, governance standards, and architecture frameworks for AI adoption.
Evaluate emerging AI technologies and recommend suitable solutions for enterprise use cases.
Solution Design
Architect AI-powered applications utilizing:
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
AI Agents & Agentic Workflows
Natural Language Processing (NLP)
Machine Learning & Deep Learning
Design scalable and resilient AI platforms on Azure, AWS, or GCP.
Define integration patterns with enterprise applications, APIs, data platforms, and cloud services.
Technical Leadership
Provide architecture guidance to AI Engineers, Data Scientists, and Development teams.
Lead solution reviews, proof-of-concepts, and technology evaluations.
Drive engineering excellence, security, scalability, and performance optimization.
Mentor engineering teams on AI architecture patterns and best practices.
Governance & Security
Establish Responsible AI, model governance, security, and compliance frameworks.
Ensure AI solutions adhere to regulatory, privacy, and cybersecurity requirements.
Define monitoring, observability, and model lifecycle management strategies.
Stakeholder Management
Engage senior stakeholders and business leaders to identify AI opportunities.
Translate business requirements into scalable architecture solutions.
Present AI strategies, solution designs, and technical recommendations to leadership teams.
Required Qualifications
Bachelor's Degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or related disciplines.
8-15+ years of technology experience with a minimum of 3-5 years in AI/ML architecture or solution architecture roles.
Proven experience designing and delivering enterprise-scale AI or Generative AI solutions.
Strong software engineering and cloud architecture background.
Experience leading architecture discussions with senior business and technology stakeholders.
Technical Skills
Artificial Intelligence & GenAI
Large Language Models (LLMs)
Generative AI
Retrieval-Augmented Generation (RAG)
Prompt Engineering
Fine-Tuning Models
AI Agents / Agentic AI
NLP
Deep Learning
Machine Learning
AI Frameworks
LangChain
LlamaIndex
Semantic Kernel
AutoGen
CrewAI
OpenAI SDK
Hugging Face
Cloud Technologies
Azure OpenAI
Azure AI Foundry
Azure Machine Learning
AWS Bedrock
Amazon SageMaker
Google Vertex AI
Data & Platform Technologies
Databricks
Snowflake
Apache Spark
Kafka
SQL / NoSQL Databases
Vector Databases (Pinecone, Weaviate, ChromaDB, Milvus)
Engineering & DevOps
Python
Java (Preferred)
REST APIs
Docker
Kubernetes
Terraform
CI/CD
MLOps
COLLABERA TECHNOLOGIES PTE. LTD.