Manager - Digital Fabric

Tata Communications

Delhi

On-site

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

Full time

18 hours ago

Be an early applicant

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

Tata Communications is seeking a visionary AI Architect / Principal AI Engineer in Delhi to lead enterprise AI solutions from strategy to deployment. You will shape AI roadmaps, design scalable platforms, and champion best practices across AI, ML, and data governance.

Key focus areas include Generative AI, LLMs, RAG, MLOps, and enterprise integration with ERP/CRM. You will mentor teams and collaborate with business stakeholders to deliver impactful AI-powered capabilities.

Qualifications

Bachelor's or master's degree in CS/AI/DS or related field.
12-20+ years of software engineering experience with at least 5+ years in AI/ML and Generative AI.
Proven experience delivering enterprise AI solutions in production.

Responsibilities

Define and drive the AI technology roadmap and architecture standards.
Design scalable, secure, and production-ready AI platforms.
Lead AI product development and governance initiatives.
Mentor engineers and data scientists.

Skills

Generative AI

LLMs

AI Agents

RAG

MLOps

Python

Cloud Platforms

Kubernetes

LangChain

Azure OpenAI

Education

Bachelor's or Master's degree in CS/AI/DS or related

Tools

Docker

Kubernetes

Azure

AWS

Google Cloud

LangChain

Weaviate

Pinecone

Elasticsearch

Job description

About The Company

Tata Communications Redefines Connectivity with Innovation and IntelligenceDriving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services and Network services, we at Tata Communications are envisaging a New World of Communications

Role Overview

Threadspan is seeking a visionary and hands-on AI Architect / Principal AI Engineer to lead the design, development, and deployment of enterprise-grade Artificial Intelligence solutions. The ideal candidate will possess deep expertise in AI/ML technologies, Generative AI, LLMs, Agentic AI frameworks, cloud-native architectures, and enterprise application integration. This role will drive AI strategy, architect scalable intelligent systems, and collaborate with business stakeholders to transform complex business challenges into innovative AI-powered solutions.

Key Responsibilities

AI Strategy & Architecture
- Define and drive the organization's AI technology roadmap and architecture standards.
- Design scalable, secure, and production-ready AI platforms and solutions.
- Evaluate emerging AI technologies, models, frameworks, and tools for enterprise adoption.
- Provide technical leadership for AI product development and innovation initiatives.
Generative AI & Large Language Models
- Architect and implement solutions leveraging:
  - OpenAI GPT Models
  - Azure OpenAI Services
  - Anthropic Claude
  - Google Gemini
  - Open Source LLMs (Llama, Mistral, Falcon, Phi)
- Design and implement RAG (Retrieval-Augmented Generation) architectures.
- Develop AI Agents and Multi-Agent systems using frameworks such as:
  - LangChain
  - LangGraph
  - CrewAI
  - AutoGen
  - Semantic Kernel
Machine Learning & Data Science
- Design end-to-end Machine Learning pipelines.
- Develop predictive, recommendation, classification, and forecasting models.
- Build MLOps frameworks for model deployment, monitoring, governance, and lifecycle management.
- Establish data quality, model validation, and AI governance practices.
Enterprise AI Integration
- Integrate AI capabilities into ERP, CRM, HRMS, and enterprise applications.
- Design API-driven AI platforms and microservices architectures.
- Develop intelligent automation and workflow orchestration solutions.
- Enable chatbot, copilot, recommendation engine, and document intelligence capabilities.
Cloud & Platform Engineering
- Architect AI solutions on:
  - Microsoft Azure
  - AWS
  - Google Cloud Platform
- Design scalable containerized deployments using:
  - Docker
  - Kubernetes
  - Azure AKS / AWS EKS
- Implement distributed computing and vector database architectures.
Data Engineering & Knowledge Systems
- Design enterprise knowledge management and semantic search solutions.
- Build AI-powered search platforms using:
  - Azure AI Search
  - Elasticsearch
  - Apache Solr
  - Pinecone
  - Weaviate
  - ChromaDB
- Create data pipelines for structured and unstructured data processing.
Leadership & Collaboration
- Partner with business leaders to identify AI transformation opportunities.
- Lead architecture reviews and technical governance forums.
- Mentor AI engineers, software developers, and data scientists.
- Establish AI development best practices, standards, and governance models.

Technical Skills

Artificial Intelligence & Generative AI

Generative AI
Large Language Models (LLMs)
AI Agents & Multi-Agent Systems
Prompt Engineering
Retrieval-Augmented Generation (RAG)
AI Orchestration Frameworks
Model Fine-Tuning
AI Evaluation Frameworks

Machine Learning & Data Science

Machine Learning Algorithms
Deep Learning
NLP
Computer Vision (Preferred)
MLOps
Model Monitoring & Governance

Programming Languages

Python (Expert Level)
Java
SQL
JavaScript
C# (.NET Preferred)

AI Frameworks

LangChain
LangGraph
Semantic Kernel
LlamaIndex
CrewAI
AutoGen
Hugging Face

Cloud Platforms

Azure AI Services
Azure OpenAI
AWS Bedrock
Google Vertex AI

Databases & Vector Stores

SQL Server
PostgreSQL
MongoDB
Pinecone
ChromaDB
Weaviate
Elasticsearch

DevOps & MLOps

Jenkins
GitHub Actions
Azure DevOps
Docker
Kubernetes
Terraform

Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
12-20+ years of software engineering experience with at least 5+ years in AI/ML and Generative AI solutions.
Proven experience delivering enterprise AI solutions in production environments.
Strong understanding of enterprise architecture, cloud computing, and data engineering.

Preferred Experience