AI Architect

Key ResponsibilitiesAI Strategy & Architecture

• Define and own the AI architecture roadmap aligned with business goals.
• Design scalable AI/ML systems, pipelines, microservices, and LLM-based architectures.
• Evaluate and select the right algorithms, models, and frameworks (LLMs, CV, NLP, RAG, multi-agent systems, etc).
• Architect solutions for model training, fine-tuning, vector databases, embeddings, and AI agents.
• Build high-performance model serving infrastructure using GPUs or cloud AI services.

Solution Design & Development

• Lead the design of AI-powered applications, chatbots, automation tools, and predictive analytics systems.
• Develop end-to-end ML workflows: data ingestion → preprocessing → model build → deployment → monitoring.
• Architect RAG (Retrieval Augmented Generation) systems and enterprise AI copilots.
• Enable integration of AI systems with APIs, databases, CRM/ERP, mobile apps, and internal tools.

Leadership & Collaboration

• Work closely with product managers to translate business requirements into technical AI solutions.
• Guide ML engineers, data scientists, and developers on model implementation.
• Provide technical mentorship and enforce best practices for AI design & delivery.

AI Governance, Security & Compliance

• Implement data privacy, security, and compliance practices within AI environments.
• Establish MLOps, LLMOps, and DevSecOps frameworks for continuous deployment and monitoring.
• Define KPIs and evaluation metrics for AI model performance and success.

Required Skills & QualificationsTechnical Skills

• Strong experience with AI/ML frameworks: PyTorch, TensorFlow, Keras, Scikit-learn.
• Expertise with LLMs & GenAI: OpenAI, Claude, Gemini, Llama, fine-tuning, custom model training.
• Deep knowledge of RAG pipelines, vector DBs (Pinecone, Chroma, Weaviate, FAISS).
• Hands-on with ML Ops / LLM Ops: Kubeflow, MLflow, Airflow, Docker, Kubernetes.
• Proficiency in Python, APIs, microservices, cloud (AWS/Azure/GCP).
• Experience with data engineering: ETL pipelines, SQL/NoSQL, data modeling.
• Familiarity with multi-agent frameworks (CrewAI, LangChain Agents, AutoGPT).

Soft Skills

• Strong problem-solving mindset and analytical thinking.
• Ability to convert business needs into AI-driven solutions.
• Clear communication and stakeholder management.
• Leadership ability to manage teams and mentor juniors.

Preferred Qualifications

• Master’s or Bachelor's degree in Computer Science, AI/ML, Data Science, or related field.
• Prior experience designing AI systems for enterprise clients.
• Experience working with large-scale datasets and high-traffic production systems.
• Publications, contributions to open-source AI projects, or certifications (NVIDIA, AWS, Google AI).

Job Types: Full-time, Part-time, Freelance

Pay: ₹8,086.00 - ₹55,535.31 per month

Work Location: In person