Full-Stack AI Architect

Full-Stack AI Architect OPENING FOR NOIDA/PUNE/BANGALORE/HYDERBAD/CHENNAI(10+YEARS EXP.)

We are seeking a Full-Stack AI Architect to design, build, and scale end-to-end AI-driven applications. This role combines software architecture, full-stack engineering, and applied AI/ML system design. The ideal candidate will translate business problems into scalable AI solutions, own the technical blueprint across frontend, backend, data, and AI layers, and guide teams through implementation and productionization.

Key Responsibilities
AI & System Architecture
Design end-to-end AI system architectures covering data ingestion, model training/inference, APIs, UI, and deployment
Select appropriate ML/LLM architectures (classical ML, DL, GenAI, RAG, agents) based on use cases
Define model lifecycle management (training, versioning, monitoring, retraining)
Architect scalable, secure, and cost-efficient AI platforms
Backend & API Engineering
Design and develop high-performance backend services using Python/Java/Node.js
Build REST/Graph

QL APIs for AI services and enterprise integrations
Implement authentication, authorization, observability, and fault tolerance
Optimize latency and throughput for real-time AI inference
Frontend & UX Integration
Guide development of AI-enabled user interfaces using React, Angular, or Vue
Enable conversational, analytical, or decision-support experiences
Ensure explainability and usability of AI outputs for end users
Data Engineering & MLOps
Design data pipelines using SQL/No

SQL, data lakes, and warehouses
Implement MLOps pipelines (CI/CD for models, monitoring, drift detection)
Work with tools such as MLflow, Kubeflow, Airflow, or equivalent
Ensure data quality, governance, and compliance
Cloud, Dev Ops & Security
Architect AI workloads on Azure
Containerize and orchestrate services using Docker and Kubernetes
Ensure enterprise-grade security, privacy, and compliance (PII, SOC2, GDPR, HIPAA where applicable)
Optimize cloud costs and system reliability
Technical Leadership
Act as technical authority across AI and full-stack engineering
Review designs, mentor engineers, and set coding/architecture standards
Collaborate with product, data science, and business stakeholders
Drive POCs, MVPs, and production rollouts
Required

Skills & Qualifications
Core Technical Skills
Strong experience in Python (mandatory) and one backend language (Java/Node.js)
Expertise in ML/DL frameworks (Tensor Flow, PyTorch, scikit-learn)
Hands-on experience with LLMs, GenAI, RAG, embeddings, vector databases
Solid knowledge of frontend frameworks (React preferred)
Strong API design and distributed systems knowledge
Architecture & Platforms
Experience designing enterprise-scale AI systems
Cloud-native architecture experience (AWS/Azure/GCP)
Strong understanding of microservices, event-driven systems, and asynchronous processing
Data & MLOps
Proficiency in SQL, data modeling, and data pipelines

Experience with model deployment, monitoring, and lifecycle automation
Familiarity with feature stores and experiment tracking

Preferred Qualifications

Experience with AI agents, autonomous workflows, or conversational AI
Knowledge of Big Query, Snowflake, or enterprise analytics platforms
Exposure to regulated industries (healthcare, finance, pharma)
Prior role as Architect, Tech Lead, or Principal Engineer
Master’s degree in computer science, AI/ML, or related field
Soft Skills
Strong problem-solving and system-thinking mindset
Ability to communicate complex AI concepts to non-technical stakeholders
Leadership, mentoring, and cross-functional collaboration skills
Product-oriented mindset with focus on business outcomes
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