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 professional 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.
2. Define integration standards, APIs, and interoperability frameworks between AI
systems and existing Digital India platforms.
3. Oversee data flow architecture, security, privacy, and Responsible AI implementation
across solutions.
4. Architect and oversee integration of AI applications with NeGD’s current enterprise
applications and digital platforms.
5. Evaluate and recommend cloud-native and on-premises deployment models in
alignment with MeitY guidelines.
6. Provide architectural leadership, ensuring scalability, maintainability, and compliance
with MeitY and NIC technical standards.
7. Collaborate with Data Science, MLOps, and Engineering teams for unified
architecture governance.
8. 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
