Lead Architect

Jobtailor

Bengaluru

On-site

INR 4,200,000 - 7,000,000

Full time

14 days+

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Job summary

Fractal is building a next-gen GenAI operations team in Bengaluru to industrialize GenAI engineering. This hands-on technical leadership role for AI engineers with strong ML and DevOps skills will design, deploy, and scale GenAI applications with robust lifecycle automation and observability.

You will lead development teams, drive model development, training, and deployment at scale, monitor performance for production use cases, and ensure governance, security, and telemetry across cloud and

Qualifications

10 - 14 years of experience in ML projects with product mindset and leading development teams.
Model development, training, deployment at scale, monitoring performance for production use cases.
Strong knowledge of Python, Data Engineering, FastAPI, NLP.
Experience with Langchain, Llamaindex, Langtrace, Langfuse; MLFlow; BentoML.
Experience with proprietary and open-source LLMs; LLM fine tuning including PEFT/CPT.
Experience building Agentic AI workflows using frameworks like CrewAI, Langraph, AutoGen, Symantec Kernel.
Experience in performance optimization, RAG, guardrails, AI governance, prompt engineering, observability.
GenAI application deployment on cloud and on-premises at scale; DevOps practices; MLOps.
Kubernetes and Terraform proficiency; experience in at least one cloud (AWS/GCP/Azure).
Strong communication and presentation skills.

Responsibilities

Lead ML project development from concept to production.
Design and implement GenAI applications with scalable architectures.
Oversee model training, deployment, monitoring, and evaluation.
Ensure governance, observability, and security across deployments.
Collaborate with cross-functional teams and communicate technical plans.

Skills

ML Project Development

GenAI Application Deployment

Python Programming

DevOps Practices

Kubernetes

Cloud Deployment

Open-Source LLMs

Prompt Engineering

Communication Skills

Presentation Skills

Tools

Kubernetes

Terraform

FastAPI

MLFlow

BentoML

CrewAI

Langchain

Llamaindex

Langtrace

Langfuse

Job description

We're building a next-gen LLMOps team at Fractal to industrialize GenAI implementation and shape the future of GenAI engineering.
This is a hands-on technical leadership role for AI engineers with strong ML and DevOps skills.
You will be designing, deploying, and scaling GenAI and Agentic AI applications with robust lifecycle automation and observability.

Requirements

10 - 14 years of experience in working on ML projects that includes product building mindset, strong hands on skills, technical leadership, leading development teams
Model development, training, deployment at scale, monitoring performance for production use cases
Strong knowledge on Python, Data Engineering, FastAPI, NLP
Knowledge on Langchain, Llamaindex, Langtrace, Langfuse, LLM evaluation, MLFlow, BentoML
Should have worked on proprietary and open-source LLMs
Experience on LLM fine tuning including PEFT/CPT
Experience in creating Agentic AI workflows using frameworks like CrewAI, Langraph, AutoGen, Symantec Kernel
Experience in performance optimization, RAG, guardrails, AI governance, prompt engineering, evaluation, and observability
Experience in GenAI application deployment on cloud and on-premises at scale for production using DevOps practices
Experience in DevOps and MLOps
Good working knowledge on Kubernetes and Terraform
Experience in minimum one cloud: AWS / GCP / Azure to deploy AI services
Team player with excellent communication and presentation skills.

Core Competencies

Demonstrates extensive experience in ML project development, including model training, deployment, and performance monitoring. Proficient in designing and scaling GenAI applications with a strong focus on DevOps practices and lifecycle automation.

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