This is for Govt of India National E-Governance Dept.

If you are from other than Bangalore, it is also fine. Location can be any major city, depending upon specific part of AI mission or hybrid.

Designation: AI/ML Solution Architect

How to apply?

Go to this link. We have our internal tool to take through the flow. There is an optional but preferred AI screening (there is no AI auto rejection)

https://app.careerplan.app/#/a/XKivW7aJhxjo?jt=AI%2FML%20Solution%20Architect&cpReturnUrl;=%2Fjob&job;_reference_id=TC-JOB-20260901-TLPQ09

Educational Qualification

 B.Tech / M.Tech / MS / Ph.D. in Computer Science, Information Technology, Artificial

Intelligence, or a related technical field.

 Certifications preferred: AWS Solutions Architect Professional, Azure Solutions

Architect Expert, or GCP Professional Cloud Architect.

 Research papers, case studies, or significant open source contributions(are preferred)

Experience

 Minimum 8–12 years of total qualified experience.

 At least 4–5 years in architecting enterprise-level AI/ML solutions or large-scale data systems.

 Proven experience designing and deploying multi-component AI solutions for government or enterprise environments.

Key Responsibilities

1. Design and implement end-to-end solution architectures embedding AI/ML

capabilities into NeGD and allied government applications.
1. Define integration standards, APIs, and interoperability frameworks between AI

systems and existing Digital India platforms.
1. Oversee data flow architecture, security, privacy, and Responsible AI implementation

across solutions.
1. Architect and oversee integration of AI applications with NeGD’s current enterprise





applications and digital platforms.
1. Evaluate and recommend cloud-native and on-premises deployment models in

alignment with MeitY guidelines.
1. Provide architectural leadership, ensuring scalability, maintainability, and compliance

with MeitY and NIC technical standards.
1. Collaborate with Data Science, MLOps, and Engineering teams for unified

architecture governance.
1. Conduct periodic architectural reviews and provide technical mentoring to

development teams.

Technical Competencies

 Architecture: Microservices and serverless patterns, event-driven and domain-driven design, high-level data & model lifecycle architecture

 Cloud: AWS (Bedrock, SageMaker, Lambda, API Gateway, S3), Azure (OpenAI

Service, ML Studio, AKS), GCP (Vertex AI, BigQuery, Cloud Storage), multi-cloud integration & cost optimization

 AI Frameworks: TensorFlow, PyTorch, Hugging Face Transformers, LangChain (LLM orchestration), prompt-engineering and responsible AI practices

 Data & Storage: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, DynamoDB), vector databases (Pinecone, Weaviate) for RAG & semantic search

 APIs & Integration: REST, GraphQL, WebSocket for real-time chat/voice

 Conversational AI & Voice: Speech-to-Text and Text-to-Speech APIs (AWS

Transcribe/Polly, Azure Speech), RAG/chatbot pipeline design with vector stores &

LLMs

 Security & Governance: IAM and RBAC across clouds, encryption in transit & at rest,

data privacy & AI governance (GDPR, SOC2)

Pay: ₹3,000,000.00 - ₹4,500,000.00 per year

Application Question(s)

- What is your notice period / lead time to join ?
- Do you have any offer in hand?

Work Location: Hybrid remote in Bengaluru, Karnataka 560000

📌 AI/ML Solution Architect (Bengaluru)
🏢 Manomaya AI Systems
📍 Bengaluru