Technozis
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Software Development · 51 to 200 Employees · Noida, India
At Technzois, we offer premium professional services across various tech stacks, enabling companies to accelerate innovation and scale efficiently. As a trusted technology partner, we help businesses build, deploy, and operate with high-performance engineering teams. Our expertise spans end-to-end development, deployment, and operations, ensuring businesses have the right technical foundation to thrive. Whether you're launching a new product, modernizing infrastructure, or optimizing existing systems, our Tech Practices deliver the expertise and agility you need. Partner with Technozis to build future-ready solutions with cutting-edge technology and top-tier engineering talent.
What employees say
+ Positive environment. Good place to work Helpfull Managers
− Nothing for as of now
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Job description
Overview
LLMOps (LLM Platform Engineering) Lead / AI Platform Architect
Responsibilities
- We are looking for a
- Lead – LLMOps / AI Platform Architect to drive the design, development, and evolution of enterprise-scale
- LLM-powered systems and AI platforms
- This role goes beyond traditional MLOps — you will
- architect next-generation AI capabilities
- , including
- RAG systems, agentic workflows, enterprise copilots, and decision intelligence platforms
- , while ensuring they are scalable, secure, and production-ready.
- hands-on architecture and platform leadership role
- , focused on building innovative AI systems —
- not a pure operations/support function
- Architect end-to-end
- Retrieval-Augmented Generation (RAG)
- Multi-agent / agentic workflows
- LLM fine-tuning and adaptation strategies
- Define system design patterns for:
- scalability
- low-latency inference
- high-throughput workloads
- Lead architectural decisions across:
- model selection (open-source vs API-based)
- retrieval strategies (vector DB, hybrid search)
- orchestration frameworks (LangGraph, LangChain, etc.)
- Design and build
- rapid experimentation
- standardized deployment
- reusable AI components
- Establish best practices for:
- CI/CD for ML & LLM systems
- model/version lifecycle management
Qualifications
- 8+ years of experience in AI/ML, with strong exposure to
- Proven experience designing and deploying
- Hands-on experience with:
- RAG pipelines
- vector databases (FAISS, Pinecone, Milvus, etc.)
- agentic frameworks (LangChain, LangGraph, AutoGen, etc.)
- Strong programming skills in
- Deep understanding of:
- MLOps / LLMOps practices
- containerization (Docker, Kubernetes)
- scalable system design
- Familiarity with
- Exposure to
- Prior experience in
- Opportunity to
- Work on cutting-edge areas like:
- agentic AI
- decision intelligence
- enterprise copilots
- High ownership and visibility across the organization
- Strong balance of:
- innovation
- architecture
- engineering excellence
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Job application FAQ
Last updated 4 October 2026
- How do I apply for LLMops Architect at Technozis?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Technozis may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this LLMops Architect role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is LLMops Architect remote or on-site in Bengaluru, Karnataka?
- This listing is marked hybrid with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this LLMops Architect role at Technozis?
- This is a mid-level LLMops Architect role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.