T
AI Architect
T
- Posted 21 days ago
- Be among the first 10 applicants
Job Description
Skill: AI Architect
Experience Range : 8 to 15 years
Location: Pan India
Core Competencies
- AI/GenAI architecture patterns: RAG, fine‑tuning strategy, agent/workflow orchestration, prompt lifecycle management.
- Data strategy & architecture: corpus preparation, embedding design, retrieval strategy, evaluation dataset design.
- Governance & guardrails: defining guardrails, standards, and solution reference architectures.
- MLOps/LLMOps: CI/CD, model registry, deployment strategy, monitoring approach.
- Security-by-design: access control, network boundaries, compliance alignment (platform + integration security).
Roles and Responsibilities
- Define reference architecture and reusable patterns for AI/GenAI solutions; enforce consistency across squads.
- Lead model/approach selection (RAG vs fine‑tune), define evaluation approach and success metrics.
- Drive data & pipeline design (ingest → curate → embed/index → retrieve → generate → evaluate).
- Specify and review guardrails (safety, compliance, privacy) and non‑functional requirements (latency, cost, reliability).
- Oversee production readiness: regression test bench, deployment plan, monitoring hooks, handover artifacts.
More Info
Key Skills
compliance alignment
agent workflow orchestration
evaluation dataset design
defining guardrails standards
LLMOps
AI GenAI architecture patterns
corpus preparation
prompt lifecycle management
CI CD
Security-by-design
network boundaries
monitoring approach
Data strategy architecture
embedding design
retrieval strategy
Governance guardrails
model registry
deployment strategy
solution reference architectures
About Company
Skills:
System Design, Distributed Systems, Software Architecture, Apis, Databases, reusable engineering patterns, full-stack product engineering, AI tools for architecture analysis, non-functional requirements, architecture decision records, cloud-native design, modernization roadmaps, event-driven systems, service modeling, security principles, Technical Standards, CI CD, observability, performance reliability, service catalogs, diagrams, integration patterns
Skills:
snowflake , MLops, Gcp, Databricks, Azure, AWS, GenAI, LLMOps, Data engineering pipelines, Palantir, Agentic AI solutions, Llm, AI ML Data Science
Skills:
snowflake , Docker, Terraform, Python, Sql, Devops, Git, MLops, Spark, AWS CloudFormation, Databricks, Azure, Kubernetes, AI Architecture Design, Hugging Face, MLflow, Pinecone, Azure OpenAI, GCP Vertex AI, ChromaDB, LangChain, Generative AI, LLMOps, Synapse, Agentic AI, AWS SageMaker, Azure AI, OpenAI
Skills:
snowflake , Agent2Agent (A2A), Model Context Protocol (MCP), Java, Gcp, Javascript, MLops, Sap Hana, Databricks, Azure, Python, AWS, Performance, ML model evaluation, SAP Business Data Cloud, AI coding tools, lakehouse patterns, knowledge graphs, Reliability, Security, coding agents, RAG, neuro-symbolic AI, cloud-native frameworks, agent orchestration, observability
Skills:
snowflake , Metadata Management, Google Cloud Platform, Data Quality, MLops, Databricks, Microsoft Azure, Data Governance, AWS, GenAI, LLMs, AI Agents, AI governance frameworks, cloud-native architecture patterns, Analytics, Enterprise Data Platforms, Synapse, DataOps, MDM, Microsoft Fabric, AI solutions, RAG architectures