AI Architect

Srijan Technologies PVT LTD; Gurugram District; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

Srijan Technologies PVT LTD is seeking an AI Architect based in Gurugram, Haryana. This position requires leading the architecture of enterprise-grade AI/GenAI platforms, focusing on end-to-end system design and delivery.

The ideal candidate will have over 8 years of experience in AI/ML and MLOps, with a strong track record of productionizing LLM solutions. This role also involves mentoring teams and ensuring best practices in AI system development.

Qualifications

• 8+ years in AI/ML architecture, data science, or MLOps.
• Strong hands-on experience with LLMs, RAG, agents, prompt/system design, and AI evaluation.
• Ability to communicate complex AI systems clearly to stakeholders.

Responsibilities

• Architect end-to-end AI systems across various functions.
• Design LLM/GenAI solutions including RAG and multi-agent systems.
• Lead integration of Databricks and vector search.
• Mentor teams across AI engineering and data science.

Skills

AI/ML architecture

Data Science

MLOps

LLMs

RAG

AI evaluation

ML pipelines

Tools

Databricks

MLflow

Jira

Job description

Job Description

We are looking for an AI Architect with 8+ years of experience in AI/ML, Data Science, and MLOps to lead the design and delivery of enterprise-grade AI/GenAI platforms. This role will own architecture for LLM-powered assistants, RAG systems, agentic workflows, model serving, evaluation pipelines, and decision‑intelligence applications on modern cloud platforms.

Key Responsibilities

• Architect end-to-end AI systems across data, models, retrieval, orchestration, serving, evaluation, and monitoring
• Design and productionize LLM/GenAI solutions including RAG, multi-agent systems, tool use, memory, and workflow orchestration
• Define architecture for model training/fine‑tuning, inference, prompt/system design, guardrails, and AI safety
• Establish MLOps standards for CI/CD, experiment tracking, model/version management, observability, evaluation, and cost‑performance optimization
• Lead integration of Databricks, vector search, document pipelines, APIs, orchestration frameworks, and evaluation frameworks
• Translate ambiguous business problems into scalable AI solutions and guide delivery from PoC to production
• Mentor teams across AI engineering, data science, and platform engineering

Required Skills

• 8+ years in AI/ML architecture, data science, or MLOps
• Strong hands‑on experience with LLMs, RAG, agents, prompt/system design, and AI evaluation
• Experience building production AI systems with model deployment, monitoring, guardrails, and observability
• Strong understanding of ML pipelines, feature/data workflows, vector retrieval, and inference architectures
• Ability to communicate complex AI systems clearly to technical and non‑technical stakeholders

Preferred Skills

• Experience with Databricks, MLflow, Fivetran, Jira, vector databases, and AI governance
• Background in marketing analytics, decision intelligence, or value‑at‑stake use cases