11+ Microsoft Business Intelligence (MSBI) Jobs in Delhi, NCR and Gurgaon | Microsoft Business Intelligence (MSBI) Job openings in Delhi, NCR and Gurgaon

The Knowledge Graph Architect is responsible for designing, developing, and implementing knowledge graph technologies to enhance organizational data understanding and decision-making capabilities. This role involves collaborating with data scientists, engineers, and business stakeholders to integrate complex data into accessible and insightful knowledge graphs.

Work you’ll do

1. Design and develop scalable and efficient knowledge graph architectures.

2. Implement knowledge graph integration with existing data systems and business processes.

3. Lead the ontology design, data modeling, and schema development for knowledge representation.

4. Collaborate with IT and business units to understand data needs and deliver comprehensive knowledge graph solutions.

5. Manage the lifecycle of knowledge graph data, including quality, consistency, and updates.

6. Provide expertise in semantic technologies and machine learning to enhance data interconnectivity and retrieval.

7. Develop and maintain documentation and specifications for system architectures and designs.

8. Stay updated with the latest industry trends in knowledge graph technologies and data management.

The Team

Innovation & Technology anticipates how technology will shape the future and begins building future capabilities and practices today. I&T drives the Ideation, Incubation and scale of hybrid businesses and tech enabled offerings at prioritized offering portfolio and industry interactions.

It drives cultural and capability transformation from solely services – based businesses to hybrid businesses. While others bet on the future, I&T builds it with you.

I&T encompasses many teams—dreamers, designers, builders—and partners with the business to bring a unique POV to deliver services and products for clients.

Qualifications and Experience

Required:

1. Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

2. 6-10 years of professional experience in data engineering with Proven experience in designing and implementing knowledge graph systems.

3. Strong understanding of semantic web technologies (RDF, SPARQL, GraphQL,OWL, etc.).

4. Experience with graph databases such as Neo4j, Amazon Neptune, or others.

5. Proficiency in programming languages relevant to data management (e.g., Python, Java, Javascript).

6. Excellent analytical and problem-solving abilities.

7. Strong communication and collaboration skills to work effectively across teams.

Preferred:

1. Experience with machine learning and natural language processing.

2. Experience with Industry 4.0 technologies and principles

3. Prior exposure to cloud platforms and services like AWS, Azure, or Google Cloud.

4. Experience with containerization technologies like Docker and Kubernetes

KEY RESPONSIBILITIES:

1. Partner with Sales teams to support revenue growth by aligning Agora’s real-time engagement, conversational

AI, and Agent Studio solutions with customer business drivers, operational challenges, and strategic use cases.

2. Collaborate with mid-market to enterprise customers and partners to understand technical requirements,

architecture constraints, scalability goals, security considerations, and user experience expectations.

3. Design, document, and propose scalable, secure, low-latency, and high-performance architectures leveraging

Agora’s SDKs, APIs, Conversational AI stack, RTC infrastructure, and cloud-native services.

4. Lead technical discovery sessions, architecture workshops, deep dives, proof-of-concepts (POCs), and live

demonstrations to validate solution fit and accelerate customer adoption.

5. Provide expert-level technical guidance to solution engineers, developers, customers, and partners during

solution design, implementation, deployment, optimization, troubleshooting, and production scaling phases.

6. Utilize modern AI-assisted development and productivity tools such as Cursor, Codex, Claude Code, GitHub

Copilot, and related AI engineering workflows to accelerate prototyping, integrations, troubleshooting, and

solution delivery.

7. Work cross-functionally with Sales, Customer Success, Product Management, Engineering, Marketing, and

Support teams to drive revenue goals, improve customer experience, and influence product direction based on

market feedback.

8. Design and present highly customized solution demonstrations and architecture narratives tailored to customer-

specific workflows, operational challenges, and industry use cases.

9. Contribute to internal enablement assets including reference architectures, solution playbooks, integration

guides, demo frameworks, technical documentation, support manuals, and reusable use case templates.

10. Stay current with emerging trends and innovations across Conversational AI, Voice AI, Generative AI, WebRTC,

real-time engagement, cloud communications, and developer tooling to proactively advise customers and

internal teams.

11. Act as a trusted technical advisor for customers by balancing business objectives, product capabilities,

compliance considerations, scalability requirements, and long-term platform strategy.

QUALIFICATIONS AND NECESSARY SKILLS

-Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.

-4 to 6 years of experience in Solutions Engineering, Pre-Sales, Technical Consulting, Developer Support, or

Software Development.

-Strong programming skills in at least one modern language such as JavaScript/TypeScript, Java, Swift, or Kotlin.

-Experience with modern development frameworks such as React Native or Flutter.

-Familiarity with enterprise tools including Salesforce, JIRA, Zendesk, and Confluence.

-Hands-on expertise in Conversational AI, Voice AI, WebRTC, SIP/PSTN integrations, real-time streaming, LLM orchestration, ASR/TTS, MCP/function calling frameworks, and AI-driven engagement systems.

-Solid understanding of SDK integrations, REST APIs, and mobile/web application architectures.

-Strong communication and presentation skills with the ability to explain technical concepts to both technical and business audiences.

-Strong analytical and problem-solving mindset with the ability to design innovative and scalable solutions.

NICE TO HAVE SKILLS

- Familiarity with telecom ecosystems including SIP, PSTN, and CPaaS platforms.

-Understanding of security, compliance, and encryption standards for real-time communications and AI systems.

-Experience with multi-region deployments, scalability, and low-latency optimization.

-Contributions to developer communities, open-source projects, or technical content creation.

Job description:

Interview Venue: H-28, ARV Park, Sector 63, Noida, Uttar Pradesh 201301

Job location: Noida

Experience: 1-2 years

Education: B.Tech or MCA

The procedure for the interview will be as follows:

• 1st Round - Machine Round
• 2nd Round- Communication Round
• 3rd Round – Assignment Round
• 4th Round - HR Round

Job Description:

• Profile: AI/ML Engineer
• Experience: 1-2 yrs
• Qualification : B.Tech/MCA
• Working Days: 5
• Job Nature: Permanent

Roles And Responsibilities:

1) Python Proficiency and API Integration:

Demonstrate strong proficiency in Python programming language.

Design and implement scalable, efficient, and maintainable code for machine learning applications.

Integrate machine learning models with APIs to facilitate seamless communication between different software components.

2) Machine Learning Model Deployment, Training, and Performance:

Develop and deploy machine learning models for real-world applications.

Conduct model training, optimization, and performance evaluation.

Collaborate with cross-functional teams to ensure the successful integration of machine learning solutions into production systems.

3) Large Language Model Understanding and Integration:

Possess a deep understanding of large language models (LLMs) and their applications.

Integrate LLMs into existing systems and workflows to enhance natural language processing capabilities.

Stay abreast of the latest advancements in large language models and contribute insights to the team.

4) Langchain and RAG-Based Systems (e.g., LLamaindex):

Familiarity with Langchain and RAG-based systems, such as LLamaindex, will be a significant advantage.

Work on the design and implementation of systems that leverage Langchain and RAG-based approaches for enhanced performance and functionality.

5) LLM Integration with Vector Databases (e.g., Pinecone):

Experience in integrating large language models with vector databases, such as Pinecone, for efficient storage and retrieval of information.

Optimize the integration of LLMs with vector databases to ensure high-performance and low-latency interactions.

6) Natural Language Processing (NLP):

Expertise in NLP techniques such as tokenization, named entity recognition, sentiment analysis, and language translation.

Experience with NLP libraries and frameworks like NLTK, SpaCy, Hugging Face Transformers

7) Computer Vision:

Proficiency in computer vision tasks such as image classification, object detection, segmentation, and image generation.

Experience with computer vision libraries like OpenCV, PIL, and frameworks like TensorFlow, PyTorch, and Keras.

8) Deep Learning:

Strong understanding of deep learning concepts and architectures, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).

Proficiency in using deep learning frameworks like TensorFlow, PyTorch, and Keras.

Experience with model optimization, hyperparameter tuning, and transfer learning.

9) Data Manipulation:

Strong skills in data manipulation and analysis using libraries like Pandas, NumPy, and SciPy.

Proficiency in data cleaning, preprocessing, and augmentation techniques.

Perks&Benefits:

• Employees & Family Health Insurance, EPF & ESIC.
• Free late-night meal facility.
• Innumerable in house & outdoor party.
• Various compensations & bonuses.
• No dress Code.
• Festival Celebration.
• Employees' B'day celebration.

•  4-8 years of relevant experience in designing & developing and architecting systems/software
• for large business environments (Java, J2EE).
• • Strong design and coding skills in Enterprise Java, Hibernate, Spring, Spring Boot, REST web
• services, JMS (ActiveMQ), XML, JSON.
• • Must have good experience in Unix/Oracle/SQL.
• • Experience in any communication framework (MQ) is an added advantage.
• • Experience in Agile Development, Scrum, and Iterative approaches
• • Participate in requirement gathering JAD sessions and support documentation

Do you want to work with the company which solves real time challenges by using Artificial Intelligence, Data Integration & Analytics, then read on.

Our client is an Ad Exchange startup redefining health care marketing.The startup has built an integrated marketplace for advertising to health practictioners by allowing them to access multiple digital health care platforms via single window. They have developed a patented technology that allows them to do precision targeting of ads for the physicians using programmatic media. They are soon to expand their services in the USA.

What you need to have: