Technical Architect

Experience: 10 to Not Available years

Location: Gautam Buddha Nagar, India

Skills: AI/ML solution and architecture design, Machine Learning, Deep Learning, Generative AI, LLM architectures, Model Lifecycle, MLOps, GenAI, prompt engineering, vector databases, RAG patterns, Cloud platforms, Azure, managed AI/ML services, Python, C#, .Net Core, AI Frameworks, TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain, System Design, microservices, APIs, event-driven architectures, Security & Governance, model security, privacy, compliance, responsible AI practices, Model performance, optimization, Technical Leadership, Data Architecture, data lakes, feature stores, data pipelines, DevOps, Infrastructure, Docker, Kubernetes, CI/CD, Big Data Technologies, Spark, Kafka, Snowflake, Databricks, Cost Optimization, Performance Tuning, AI Ethics, Regulatory Awareness

Job Summary
SRDemandCU L4* ERS CU-Digital Engg-PF SW-UITechnologiesRole Code*Excalibur ID (New Project/Extension)* OHCLP530261Requisition Source (New/Rotation/Attrition): NewResource Name with SAP Id (in case of Rotation/Attrition):Customer Name MICROSOFT CORPORATION ((phone hidden))Project Name & Code MKT-Digital-Devices-Combined-FY18-FY26 (C232988)Confirm PositionProactive Hire Confirm PositionRFS Updated (Y/N): YReason (if RFS not updated):Experience: 10+ YearsNo. of Positions: 1Designation ArchitectBand & Sub Band E2.2/E3.1Bill Start Date: 1st March 26Onboarding Date 1st March 26Customer Interview - Yes/No NoBilling lose start dateLocation: HyderabadRole (SDE/SDET): SDEEmployee Group (Full Time/contract): Full TimeContract Period (From/To dates, in case of contract):Buy/Sell Rate (in case of Contract positions):

Primary Skill Area:
Primary Skills




• AI/ML solution and architecture design (Machine Learning, Deep Learning, and Generative AI / LLM architectures) for production systems
• Model Lifecycle & MLOps (training, deployment, monitoring, retraining)
• GenAI (prompt engineering, vector databases, RAG patterns)
• Cloud platforms Azure and managed AI/ML services
• Python for ML and data engineering, C# programming and .Net Core
• AI Frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain, etc.)
• System Design (microservices, APIs, event-driven architectures)
• Security & Governance (model security, privacy, compliance, responsible AI practices, Model performance and optimization)
• Stakeholder Communication & Technical Leadership

Secondary Skills
• Data Architecture (data lakes, feature stores, data pipelines)
• DevOps & Infrastructure (Docker, Kubernetes, CI/CD)
• Big Data Technologies (Spark, Kafka, Snowflake, Databricks)
• Cost Optimization & Performance Tuning
• AI Ethics & Regulatory Awareness

Reporting Manager’s SAP id: Eshwar Madgundikurni(51648508)
Interviewer1 SAP Id: Eshwar Madgundikurni(51648508)
Interviewer2 SAP Id: Rohan Amin (51731648)

Key Responsibilities
1. To architect| design and develop [through team] solution for product / sustenance delivery.
2. To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and delivery risks are mitigated.
3. To ensure knowledge up-gradation and work with recent technologies so that the solution is current and meets quality standards and the client requirements.
4. To gather specifications and deliver solutions to the client organization based on understanding of a domain or technology.

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