AI Architect

About Darwinbox
Darwinbox is Asia's fastest-growing HR technology platform, designing the future of work by building the world's best HR tech, driven by a fierce focus on employee experience and customer success, and continuous, iterative innovation. We are the preferred choice of 1000+ global enterprises to manage their 4 million+ employees across 130+ countries.

Darwinbox's new-age HCM suite competes with local as well as global players in the enterprise technology space (such as SAP, Oracle, and Workday). The firm has acquired notable customers ranging from large conglomerates to unicorn start-ups: Nivea, Starbucks, DLF, JSW, Adani Group, Crisil, CRED, Vedanta, Mahindra, Glenmark, Gokongwei Group, Mitra Adiperkasa, EFS Facilities Management, VNG Corporation, and many more.

Our vision of building a world-class product company from Asia is backed by marquee global investors like Microsoft, Salesforce, Sequoia Capital, TCV, KKR, and Partners Group.

Why Join Us?  

The rate at which our product and market presence are growing is unprecedented. We’re a Rocketship. We’re not planning on slowing down anytime soon. And, that’s why we need you! You’ll experience a culture of: 

• Disproportionate Rewards for top performance
• Accelerated Growth in a hyper-growth environment 
• Wellbeing First culture focused on employee care 
• Continuous Learning and Professional Development 
• Meaningful Relationships and a Collaborative Environment 
  
  

Role Overview
We are seeking an experienced AI Architect to lead the development of our AI and Machine Learning infrastructure and specialized language models for HR applications. This role will establish and lead our MLOps practices and drive the creation of scalable, production-ready AI/ML systems.

Key Responsibilities

• Discuss the feasibility of AI/ML use cases along with architectural design with business teams, and translate the vision of business leaders into a realistic technical implementation
• Play a key role in defining the AI architecture and selecting appropriate technologies from a pool of open-source and commercial offerings
• Design and implement robust ML infrastructure and deployment pipelines
• Establish comprehensive MLOps practices for model training, versioning, and deployment
• Lead the development of HR-specialized language models (SLMs)
• Implement model monitoring, observability, and performance optimization frameworks
• Develop and execute fine-tuning strategies for large language models
• Create and maintain data quality assessment and validation processes
• Design model versioning systems and A/B testing frameworks
• Define technical standards and best practices for AI development
• Optimize infrastructure for cost, performance, and scalability
  
  

Required Qualifications

• 7+ years of experience in ML/AI engineering or related technical roles
• 3+ years of hands-on experience with MLOps and production ML systems
• Demonstrated expertise in fine-tuning and adapting foundation models
• Strong knowledge of model serving infrastructure and orchestration
• Proficiency with MLOps tools (MLflow, Kubeflow, Weights & Biases, etc.)
• Experience implementing model versioning and A/B testing frameworks
• Strong background in data quality methodologies for ML training
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)
• Experience with cloud-based ML platforms (AWS, Azure, Google Cloud)
• Proven track record of deploying ML models at scale
  
  

Preferred Qualifications

• Experience developing AI applications for enterprise software domains
• Knowledge of distributed training techniques and infrastructure
• Experience with retrieval-augmented generation (RAG) systems
• Familiarity with vector databases (Pinecone, Weaviate, Milvus)
• Understanding of responsible AI practices and bias mitigation
• Bachelor's or Master's degree in Computer Science, Machine Learning, or related field
  
  

What We Offer

• Opportunity to shape AI strategy for a fast-growing HR technology leader
• Collaborative environment focused on innovation and impact
• Competitive compensation package
• Professional development opportunities
• Flexible work arrangements
• Qualified candidates who are passionate about applying cutting-edge AI to transform HR technology are encouraged to apply.