11+ Board of directors Jobs in Chennai | Board of directors Job openings in Chennai

Key Responsibilities:

• Strategic Growth Planning: Develop and execute strategies to drive sustainable growth and expansion in alignment with company goals.
• Market Analysis: Conduct thorough market research and analysis to identify new opportunities, market trends, and competitive threats.
• Business Development: Lead initiatives to acquire new business partnerships and opportunities, including identifying potential clients and negotiating agreements.
• Operational Excellence: Streamline and optimize internal processes and workflows to enhance efficiency and productivity.
• Financial Management: Collaborate with finance teams to develop budgets, monitor financial performance, and ensure cost-effectiveness.
• Team Leadership: Provide strong leadership and mentorship to cross-functional teams, fostering a culture of collaboration, innovation, and continuous improvement.
• Performance Metrics: Establish key performance indicators (KPIs) and metrics to track progress towards goals, regularly reporting to senior management.
• Risk Management: Identify potential risks and develop mitigation strategies to ensure business continuity and resilience.

Qualifications:

• Education:  MBA or equivalent from a prestigious institute such as IIM preferred.
• Experience: 4-6 years of progressive experience in business development, operations management, or related fields. Prior experience in a leadership role preferred.
• Analytical Skills: Strong analytical and problem-solving abilities, with a data-driven approach to decision-making.
• Communication Skills: Excellent communication and interpersonal skills, with the ability to influence and collaborate effectively at all levels of the organization.
• Strategic Vision: Proven ability to think strategically, anticipate future trends, and translate vision into actionable plans.
• Adaptability: Ability to thrive in a fast-paced environment and effectively manage multiple priorities under tight deadlines.

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

Key Responsibilities

• Design, develop, test, and deploy scalable Java applications.

• Collaborate with cross-functional teams to define, design, and deliver new 

features.

• Solve complex technical problems with innovative, simple solutions.

• Write clean, efficient, and well-documented code.

• Participate in code reviews to maintain code quality.

• Continuously discover, evaluate, and implement new technologies to maximize 

development efficiency.

• Exhibit ownership and responsibility for assigned deliverables.

Qualifications and Required Skills

• 3 to 6 years of hands-on Java development experience.

• Strong experience in building products or applications from scratch (not just 

maintenance/support).

• Good understanding of object-oriented programming principles.

• Experience with frameworks like Spring, Spring Boot, Hibernate, etc.

• Strong knowledge of data structures, algorithms, and design patterns.

• Should have strong problem-solving abilities.

• Familiarity with RESTful APIs and microservices architecture is a plus.

• Solid understanding of database technologies (SQL, NoSQL).

• Exposure to cloud platforms (AWS, Azure, or GCP) will be an advantage.

• Strong debugging and troubleshooting skills

Strong Databricks Architect Profile with end-to-end Lakehouse ownership

2

Mandatory (Experience 1) – Must have 10+ years of software engineering experience with atleast 5+ years in Data Engineering with hands on exposure to Databricks and strong ownership of end-to-end data pipeline development.

3

Mandatory (Experience 2) – Must have atleast 5+ years of expertise across the Databricks ecosystem — Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, Workflows, Unity Catalog

4

Mandatory (Tech skill 1) – Must have worked at architecture level, owning end-to-end design through deployment

5

Mandatory (Tech skill 2) – Must have strong experience with Python and SQL for data processing and Apache Spark for performance tuning & scalability

6

Mandatory (Tech skill 3) – Must have experience in large-scale data warehousing & advanced data modeling (3NF and dimensional) across batch and real-time systems

7

Mandatory (AI Exposure) – Must have at least a basic working understanding of how AI services or tools work

8

Mandatory (Communication) – Must have strong stakeholder management & requirement-gathering experience with US or UK clients

9

Mandatory (Company) – Must come from a B2B IT services or IT consulting background

10

Mandatory (Note) – CTC is inclusive of 5% variable

11

Preferred (Tech skill 1) – Azure Databricks or Azure data services experience (project runs on Azure DevOps)

12

Preferred (Tech skill 2) – MLflow or MLOps practices and AI use cases (RAG, AI/BI)

13

Preferred (Tech skill 3) – CI/CD, Databricks Asset Bundles (DABs) or equivalent packaging, Terraform or IaC, reusable deployment templates

14

Preferred (Integrations) – ServiceNow or enterprise system integrations

15

Preferred (Certifications) – Databricks (Data Engineer Associate or Professional, ML or GenAI tracks), Azure or AWS cloud certifications

3DEXPERIENCE on Cloud, ENOVIA, NETVIBES

1) 10+ years of Experience in the PLM Industry, with proficient in 3DExperience Platform

2) Strong Dassault Product knowledge across Dassault Brands (e.g. ENOVIA, DELMIA, NETVIBES) and the 3DEXPERIENCE platform is a required. Both On-Cloud and OnPrem.

3) Customer Requirements collecting, Documenting and management. PLM Use Case and process creations and definition, having excellent understanding of business data and process requirements. Experience in performing PoCs, Demonstrations and scope definition.

4) Good understanding of Different modules and technical Skill with hands on experience on different 3DExperience Brands.

5) Understand master data principles and technical overlaps among digital platforms, from PLM to ERP, MES, SCM, etc

6) Able to deal with complexity and simplify things, develop and maintain a 360 degree "big picture" view of the solution.

7) Good understanding of migration into 3DEXPERIENCE with relevant experience in the same and also on environment setup, data migration strategy and validation.

8) Have in-depth understanding of design patterns, coding and customization languages, middleware and other IT principles and able to interface openly with other IT Architects on such matters.

9) Ability to assess existing technologies and tools, and all technical building blocks.

10) It is an advantage if having experience in a global company with IT, Engineering or Manufacturing and having interest and experience in implementing PLM.

Job Title:  iOS - Flutter Developer

Location : 100% Remote / Chennai / Coimbatore / Indore (As per your convenience)

Roles and Responsibilities :

• Design and Build sophisticated and highly scalable apps using Flutter.
• Build custom packages in Flutter using the functionalities and APIs already available in native Android / IOS.
• Translate and Build the designs and Wireframes into high quality responsive UI code.
• Write efficient queries for core Data.
• Explore feasible architectures for implementing new features.
• Ensure security guidelines are always followed while developing the app.
• Ensure security guidelines are always followed while developing the app.
• Resolve any problems existing in the system and suggest and add new features in the complete system.
• Follow the best practices while developing the app and also keeping everything structured and well documented.
• Use CI/CD for smooth deployment.
• Document the project and code efficiently.
• Communicate with the Project Manager regarding status of projects and suggest appropriate deadlines for new functionalities.
• Validate the cloud system to ensure any new changes do not compromise security of the backend server.
• Maintaining software through product lifecycle including design, development, verification and bug fixes.
• Connect regularly with the Quality Assurance Specialist to deliver stable app.
• Resolve all the bugs reported by the Quality Assurance Specialist in a timely manner.
• Perform time profiling and memory leaks assessment.
• Execute app verification protocol.

Good to have:

• Flutter: To build cross platform mobile apps for Android, IOS and Web.
• Design responsive UIs to efficiently query data
• Mange states in an optimized manner.
• Native Android / IOS: To build custom Flutter Packages.
• Experience in working on Chat and VOIP based applications like WhatsApp, FB Messenger etc.
• Firebase: Should have experience with Cloud Firestore, Push Notifications, Cloud Functions and Analytics.
• Adobe XD: Should know how to use Adobe XD to use the design file and use it to build the app.
• Git: To manage and collaborate in different projects with the rest of the team
• Good To Have Angular, Bootstrap, JavaScript
• Good knowledge of Software Configuration Management, version control and defect tracking tools
• Good communication skills and versatile team player
• Write tests for the App.

Roles & Responsibilities:

1. Area/ Lane /Geography Mapping:

Responsible for lane to lane/ Area mapping of Area/ Geography at regular intervals with

the help of supervisor. Identify new sources in the allocated Area/ Geography and

inform the progress to reporting manager during team huddle.

2. Source Relationship Management:

Responsible for managing the relationship with all sources assigned and identified by

him in his geography/area.

3. Maintain Reports:

Responsible for maintaining reports related to sales and all his activities in the

prescribed format. Should maintain diary on daily basis in the prescribed format of

activities.

4. Channel Partner Recruitment:

Responsible for identifying the need for appointment of a channel partner

5. Team Huddle:

Responsible for attending team huddle on a daily basis as per the set process.

6. Customer Relationship Management:

Responsible for enhancing the customer experience by developing and maintaining

relationship with customers.

7. Completion of File:

Responsible for submission of complete application form, documentations and

information

Desired candidate profile:

1. Must be a graduate from any stream. BFSI experience will be given preference.

2. Should have prior experience in BFSI or NBFC sales

3. Open to travel. Must have a Two Wheeler.

4. Must have good communication skills

Title: ServiceNow Development / Architect(CSM)

Exp: 3 - 10 years

Location: Any InfoBeans' location - Pune / Indore / Vadodara / Chennai

Job Description

The selected candidate should have minimum 18+ years of delivering SAP projects and min 3+ years of leadership role experience. This role will report to SAP Practice Delivery head and take care of SAP delivery for a market unit at Wipro. A Key member of the practice delivery leadership team for delivering all SAP technology solutions ensuring a sustainable and profitable growth with right level of customer satisfaction. 

Responsibilities:

• Customer stakeholder management
• Collaborate with sales and pre-sales team to ensure a deliverable solution offerings with right price
• Manage all SAP projects & associated processes 
• To manage and engage a large and diverse team and partners
• Manage SAP practice operations including workforce management
• Continues improvement & innovation in delivery models
• SAP capability building and workforce transformation
• Spearheading revenue portfolio of $100M+ (Must)
• Handling FTE of 1000+ resources (Must)