T
AI Architect
T
- Posted 19 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:
Databases, Apis, Software Architecture, Distributed Systems, System Design, non-functional requirements, service catalogs, security principles, performance reliability, event-driven systems, AI tools for architecture analysis, diagrams, CI CD, cloud-native design, reusable engineering patterns, Technical Standards, service modeling, modernization roadmaps, full-stack product engineering, integration patterns, architecture decision records, observability
Skills:
snowflake , MLops, Gcp, Databricks, Azure, AWS, GenAI, LLMOps, Data engineering pipelines, Palantir, Agentic AI solutions, Llm, AI ML Data Science
Skills:
data engineering , Cloud Architecture, Databases, Microsoft Azure, Python, AWS, Oauth, Google Cloud Platform, Api Development, Distributed Systems, Model fine-tuning, JSON-RPC, Microservices architecture, GraphRAG, Generative AI, LLMOps, AI evaluation frameworks, MCP REST APIs, AI architecture, LoRA, SQL agents, QLoRA, Advanced retrieval architectures, Event-driven architectures
Skills:
snowflake , Java, Gcp, Javascript, MLops, Sap Hana, Databricks, Azure, Python, AWS, ML model evaluation, SAP Business Data Cloud, AI coding tools
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