Job Opportunities

AI Architect

Key Skills & Expertise:
✅ Generative AI, RAG (Retrieval-Augmented Generation) & LLM Optimization
✅ Strong Python programming with TensorFlow, PyTorch & Pandas
✅ Experience with Azure AI Foundry and AI Search
✅ MLOps & Cloud Infrastructure (Docker, Kubernetes, MLflow)
✅ Data Engineering & Databases (PostgreSQL, SQL Server)
✅ Workflow Orchestration using Apache Airflow, Azure Data Factory (ADF) & Logic Apps
✅ Solution Architecture for scalable, secure, and production-ready AI systems

Job Purpose (both Onsite / Offshore)
We are seeking a highly experienced AI Architect with 10+ years in data and AI engineering, and deep
hands-on expertise in Agentic AI systems, multi-LLM architecture, GenAI, Retrieval-Augmented
Generation (RAG), and AI platform governance.
This role will lead the design and implementation of enterprise-grade AI solutions built on the
Microsoft Azure ecosystem, combining architectural leadership with active engineering involvement.
The ideal candidate must be able to operate at both:
• Strategic architecture level
• Hands-on implementation level

Job Description / Duties and Responsibilities
• Define AI/ML solution architecture and oversee implementation across projects using Microsoft
Azure services.
• Lead and mentor a team of AI engineers and data scientists.
• Own the end-to-end lifecycle of AI models – from ideation and data acquisition to deployment
and monitoring.
• Partner with business stakeholders to translate requirements into AI solutions.
• Evaluate emerging tools, frameworks, and platforms for AI/ML development.
• Drive standardization, code quality, and best practices across the AI engineering team.
• Ensure ethical, explainable, and compliant AI practices.
• Define LLM routing, fallback, and evaluation strategies
• Design and implement autonomous AI agents using Azure OpenAI Service and Azure AI Studio
• Build multi-agent orchestration systems
• Implement memory management (short-term & vector-based long-term memory)
• Design agent safety guardrails and oversight mechanisms
• Architect end-to-end RAG pipelines
• Implement hybrid search (semantic + keyword)
• Optimize retrieval grounding and hallucination mitigation
• Tune prompts and evaluate model performance

Job Specification / Skills and Competencies
• Bachelor’s or master’s degree in computer science, Artificial Intelligence, or a related field.
• 10+ years of experience in AI/ML development with demonstrated leadership in delivering
production-grade AI solutions.
• Deep expertise in machine learning, deep learning, NLP, or computer vision.
• Experience with model architecture design, feature stores, model monitoring.
• Strong experience with MLOps, DevOps for ML, and deployment tools (Docker, Kubernetes, MLflow, Airflow).
• Solid understanding of cloud AI/ML offerings (Azure ML, SageMaker, Vertex AI).
• Proven ability to lead technical teams and manage delivery timelines.