Artificial Intelligence Architect

One of the Healthcare AI Product Start up based out of Hyderabad is looking out for a AI Architect. If you are looking for a challenging environment and would like to be a part of building AI products, let us connect and discuss.

Position: AI Architect 

Experience: 5+ yrs

Qualification: B.Tech / B.E from Tier 1 Academic Institutions

Job Type: Permanent & WFO

Job Location: Hyderabad

Position Overview

We are seeking an experienced AI Architect to lead the design, development, and deployment of large-scale AI solutions. The ideal candidate will bridge the gap between business requirements and technical implementation, with deep expertise in generative AI and modern MLOps practices.

Key Responsibilities:

AI Solution Design & Implementation:

• Architect end-to-end AI systems leveraging large language models and generative AI technologies

• Design scalable, production-ready AI applications that meet business objectives and performance requirements

• Evaluate and integrate LLM APIs from leading providers (OpenAI, Anthropic Claude, Google Gemini, etc.)

• Establish best practices for prompt engineering, model selection, and AI system optimization

Model Development & Fine-tuning:

• Fine-tune open-source models (Llama, Mistral, etc.) for specific business use cases

• Implement custom training pipelines and evaluation frameworks

• Optimize model performance, latency, and cost for production environments

• Stay current with latest model architectures and fine-tuning techniques

Infrastructure & Deployment:

• Deploy and manage AI models at enterprise scale using containerization (Docker) and orchestration (Kubernetes)

• Build robust, scalable APIs using FastAPI and similar frameworks

• Design and implement MLOps pipelines for model versioning, monitoring, and continuous deployment

• Ensure high availability, security, and performance of AI systems in production

Business & Technical Leadership:

• Collaborate with stakeholders to understand business problems and translate them into technical requirements

• Provide technical guidance and mentorship to development teams

• Conduct feasibility assessments and technical due diligence for AI initiatives

• Create technical documentation, architectural diagrams, and implementation roadmaps

Required Qualifications:

Experience

• 5+ years of experience in machine learning engineering or data science

• 1+ years of hands-on experience building, deploying, and managing generative AI models in production

• Proven track record of delivering large-scale ML solutions

Technical Skills:

• Expert-level proficiency with LLM APIs (OpenAI, Claude, Gemini, etc.)

• Hands-on experience fine-tuning transformer models (Llama, Mistral, etc.)

• Strong proficiency in FastAPI, Docker, and Kubernetes

• Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers)

• Proficiency in Python and modern software development practices

• Experience with cloud platforms (AWS, GCP, or Azure) and their AI/ML services

Core Competencies:

• Strong understanding of transformer architectures, attention mechanisms, and modern NLP techniques

• Experience with MLOps tools and practices (model versioning, monitoring, CI/CD)

• Ability to translate complex business requirements into technical solutions

• Strong problem-solving skills and architectural thinking

Preferred Qualifications:

• Experience with vector databases and retrieval-augmented generation (RAG) systems

• Knowledge of distributed training and model parallelization techniques

• Experience with model quantization and optimization for edge deployment

• Familiarity with AI safety, alignment, and responsible AI practices

• Experience in specific domains (finance, healthcare, legal, etc.)

• Advanced degree in Computer Science, AI/ML, or related field

Please Note: We are looking out for candidates who shorter notice period.