The Software Engineer role at Trane Technologies involves designing and developing embedded systems, with a focus on modular application software using C for Embedded Linux systems. Key responsibilities include software development and testing, with a strong emphasis on multithreaded applications and communication interfaces. Candidates should have a degree in engineering and 3-5 years of relevant experience, particularly in the Telematics domain, and possess effective communication and problem-solving skills.
Responsibilities
The Software Engineer role at Trane Technologies involves designing and developing embedded systems, with a focus on modular application software using C for Embedded Linux systems. Key responsibilities include software development and testing, with a strong emphasis on multithreaded applications and communication interfaces. Candidates should have a degree in engineering and 3-5 years of relevant experience, particularly in the Telematics domain, and possess effective communication and problem-solving skills.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Network Design & Delivery
· Lead end-to-end delivery of enterprise network projects covering LAN, Wireless, and SD-WAN technologies.
· Perform network scoping, solution design, and implementation aligned with approved architecture standards.
· Create and review HLDs, LLDs, BOMs & Runbooks, implementation plans, and handover documentation.
· Drive Network Refresh, EOL/EOS remediation, and technology modernization initiatives.
· Ensure solutions meet performance, scalability, resiliency, standard and security requirements.
LAN & Wireless Engineering
· Deliver enterprise campus LAN solutions using Cisco (Catalyst or Meraki) switching platforms.
· Design and implement Enterprise wireless networks including Wi-Fi 5/6/6E, high-density environments, and site readiness.
· Working knowledge with NAC solutions (Cisco ISE) for wired and wireless access control.
· Support wired/wireless troubleshooting during deployment and stabilization phases.
SD-WAN & Secure Connectivity (Good to have/Working knowledge)
· Design and implement SD-WAN solutions.
· Collaborate with security teams on secure connectivity patterns, firewall integration, and segmentation.
Automation & Quality Improvement
· Contribute to network automation and standardization efforts (Ansible, templates, APIs, or vendor tools).
· Identify delivery inefficiencies and drive process, quality, and documentation improvements.
· Participate in design reviews, quality checks, and peer mentoring.
Stakeholder & Vendor Engagement
· Work directly with internal customers, project managers, and global stakeholders.
· Coordinate with OEMs, ISPs, and system integrators for implementation and issue resolution.
· Provide clear communication on project status, risks, and dependencies.
Responsibilities
Salary : Rs. 30,00,000.0 - Rs. 35,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Title
Senior AI Solution Architect
Experience: 8–12 Years (with 3+ years in AI/ML solution architecture)
Location : Chennai, India
________________________________________
Role Overview
We are seeking a Senior AI Solution Architect to lead the design and delivery of scalable, production-grade AI solutions across the enterprise. This role is responsible for defining AI architecture standards, enabling AI CoE practices, and ensuring secure, cost-efficient, and high-performance AI integrations within our enterprise ecosystem.
The ideal candidate bridges business strategy, AI engineering, and enterprise architecture.
Key Responsibilities
1. Enterprise AI Architecture
• Design end-to-end AI/GenAI architectures including:
o Data ingestion & preprocessing pipelines
o Model orchestration frameworks
o RAG architectures
o API & microservice exposure
• Define reusable AI reference architectures and accelerators.
2. AI Model Strategy & Evaluation
• Select appropriate models (OpenAI, Azure AI, open-source LLMs, custom-trained models) based on:
o Business use case
o Latency requirements
o Cost optimization
o Data sensitivity
• Establish evaluation frameworks for LLM quality, hallucination mitigation, and performance benchmarking.
3. AI Productionization (MLOps / LLMOps)
• Define CI/CD pipelines for AI deployments.
• Implement monitoring for:
o Model drift
o Prompt performance
o Token usage & cost control
o Latency & uptime
• Establish rollback and versioning strategies.
4. Polyglot & Enterprise Integration
• Architect integration of Python-based AI services into .NET and Java ecosystems.
• Design event-driven, API-first AI services.
• Ensure secure authentication (OAuth2, SAML, API Gateway patterns).
5. AI Governance & Responsible AI
• Define AI security, data privacy, and compliance standards.
• Establish guardrails for responsible AI usage.
• Collaborate with InfoSec and Legal for risk assessments.
6. Technical Leadership & AI CoE Enablement
• Mentor engineers and data scientists.
• Define coding standards and AI development best practices.
• Drive POC-to-production transformation roadmap.
Core Competencies
AI Architecture & Engineering
• Strong knowledge of LLM orchestration frameworks (LangChain, LlamaIndex or equivalent)
• Experience with RAG systems
• Understanding of embedding strategies and vector databases
• Familiarity with fine-tuning and prompt engineering
Enterprise Architecture
• Microservices & API-first architecture
• Event-driven systems
• Docker/Kubernetes
• Cloud-native AI deployments (Azure preferred)
AI Operations
• MLOps / LLMOps practices
• Monitoring & observability tools
• Cost optimization strategies for AI workloads
Leadership
• Ability to translate business problems into scalable AI solutions
• Experience contributing to AI CoE setup
• Strong stakeholder communication skills
Responsibilities
Role Title
Senior AI Solution Architect
Experience: 8–12 Years (with 3+ years in AI/ML solution architecture)
Location : Chennai, India
________________________________________
Role Overview
We are seeking a Senior AI Solution Architect to lead the design and delivery of scalable, production-grade AI solutions across the enterprise. This role is responsible for defining AI architecture standards, enabling AI CoE practices, and ensuring secure, cost-efficient, and high-performance AI integrations within our enterprise ecosystem.
The ideal candidate bridges business strategy, AI engineering, and enterprise architecture.
Key Responsibilities
1. Enterprise AI Architecture
• Design end-to-end AI/GenAI architectures including:
o Data ingestion & preprocessing pipelines
o Model orchestration frameworks
o RAG architectures
o API & microservice exposure
• Define reusable AI reference architectures and accelerators.
2. AI Model Strategy & Evaluation
• Select appropriate models (OpenAI, Azure AI, open-source LLMs, custom-trained models) based on:
o Business use case
o Latency requirements
o Cost optimization
o Data sensitivity
• Establish evaluation frameworks for LLM quality, hallucination mitigation, and performance benchmarking.
3. AI Productionization (MLOps / LLMOps)
• Define CI/CD pipelines for AI deployments.
• Implement monitoring for:
o Model drift
o Prompt performance
o Token usage & cost control
o Latency & uptime
• Establish rollback and versioning strategies.
4. Polyglot & Enterprise Integration
• Architect integration of Python-based AI services into .NET and Java ecosystems.
• Design event-driven, API-first AI services.
• Ensure secure authentication (OAuth2, SAML, API Gateway patterns).
5. AI Governance & Responsible AI
• Define AI security, data privacy, and compliance standards.
• Establish guardrails for responsible AI usage.
• Collaborate with InfoSec and Legal for risk assessments.
6. Technical Leadership & AI CoE Enablement
• Mentor engineers and data scientists.
• Define coding standards and AI development best practices.
• Drive POC-to-production transformation roadmap.
Core Competencies
AI Architecture & Engineering
• Strong knowledge of LLM orchestration frameworks (LangChain, LlamaIndex or equivalent)
• Experience with RAG systems
• Understanding of embedding strategies and vector databases
• Familiarity with fine-tuning and prompt engineering
Enterprise Architecture
• Microservices & API-first architecture
• Event-driven systems
• Docker/Kubernetes
• Cloud-native AI deployments (Azure preferred)
AI Operations
• MLOps / LLMOps practices
• Monitoring & observability tools
• Cost optimization strategies for AI workloads
Leadership
• Ability to translate business problems into scalable AI solutions
• Experience contributing to AI CoE setup
• Strong stakeholder communication skills
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Programming Techniques and Concepts~EIS : Teamcenter Product (PLM)~Utilities - Domain Knowledge
\Forgerock Identity Management Role Descriptions: The key responsibilities include ownership of development tasks and ensuring quality in deliverables. The role requires collaboration with team members and sharing knowledge effectively. Candidates are expected to demonstrate good programming and analytical skills. They should also be proactive in contributing to team goals and objectives. Overall| the role emphasizes teamwork and technical expertise.
Essential Skills: Experience with Teamcenter Active Workspace (AWC3.2 and above) application upgrades is advantageous. Familiarity with TC/NX applications upgrades is beneficial. A good understanding of Teamcenters overall architecture is a plus. Generic managerial skills may enhance a candidates profile. Any additional certifications related to Teamcenter would be favorable.Strong development experience in server-side (ITK) and client-side customization (RAC) is essential. Expertise in Teamcenter 14.x or later versions is required. Proficiency in programming languages such as C| C++| and Java is a must. Candidates should have good functional knowledge across multiple Teamcenter PLM modules. Strong analytical skills and the ability to work as a team player are also critical.
Responsibilities
Forgerock Identity Management Role Descriptions: The key responsibilities include ownership of development tasks and ensuring quality in deliverables. The role requires collaboration with team members and sharing knowledge effectively. Candidates are expected to demonstrate good programming and analytical skills. They should also be proactive in contributing to team goals and objectives. Overall| the role emphasizes teamwork and technical expertise.
Essential Skills: Experience with Teamcenter Active Workspace (AWC3.2 and above) application upgrades is advantageous. Familiarity with TC/NX applications upgrades is beneficial. A good understanding of Teamcenters overall architecture is a plus. Generic managerial skills may enhance a candidates profile. Any additional certifications related to Teamcenter would be favorable.Strong development experience in server-side (ITK) and client-side customization (RAC) is essential. Expertise in Teamcenter 14.x or later versions is required. Proficiency in programming languages such as C| C++| and Java is a must. Candidates should have good functional knowledge across multiple Teamcenter PLM modules. Strong analytical skills and the ability to work as a team player are also critical.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Programming Techniques and Concepts~EIS : Teamcenter Product (PLM)~Utilities - Domain Knowledge
FlexDeploy~Documentation Development~EIS : Teamcenter Product (PLM)
Life Science : Regulatory Submission Planning, Document Publishing Role Descriptions: The Teamcenter Administrator will manage the deployment center for a large-scale PL program. They will be responsible for Teamcenter configuration and installation. The role includes handling automated deployments and ensuring compliance with technical documentation standards. The administrator will work independently and support the team in achieving project goals. They will also assess upgrades for newer versions of Teamcenter.
Essential Skills: Experience with newer versions of Teamcenter is beneficial. Understanding of deployment centers and automated build processes is a plus. Familiarity with semiconductor industry standards can enhance the candidates profile. Knowledge of ITAR regulations is advantageous. Good communication skills will aid in collaboration with teams.Experience in Teamcenter Configuration and Installation is essential. Knowledge of automated deployments is crucial for the role. Familiarity with cloud deployments is also required. The candidate should be able to handle technical documentation effectively. Strong problem-solving skills are necessary for managing deployment centers.
Responsibilities
FlexDeploy~Documentation Development~EIS : Teamcenter Product (PLM)
Life Science : Regulatory Submission Planning, Document Publishing Role Descriptions: The Teamcenter Administrator will manage the deployment center for a large-scale PL program. They will be responsible for Teamcenter configuration and installation. The role includes handling automated deployments and ensuring compliance with technical documentation standards. The administrator will work independently and support the team in achieving project goals. They will also assess upgrades for newer versions of Teamcenter.
Essential Skills: Experience with newer versions of Teamcenter is beneficial. Understanding of deployment centers and automated build processes is a plus. Familiarity with semiconductor industry standards can enhance the candidates profile. Knowledge of ITAR regulations is advantageous. Good communication skills will aid in collaboration with teams.Experience in Teamcenter Configuration and Installation is essential. Knowledge of automated deployments is crucial for the role. Familiarity with cloud deployments is also required. The candidate should be able to handle technical documentation effectively. Strong problem-solving skills are necessary for managing deployment centers.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role : FlexDeploy~Documentation Development~EIS : Teamcenter Product (PLM)
Programming Techniques and Concepts~EIS : Teamcenter Product (PLM)~Utilities - Domain Knowledge
Forgerock Identity Management Role Descriptions: The key responsibilities include ownership of development tasks and ensuring quality in deliverables. The role requires collaboration with team members and sharing knowledge effectively. Candidates are expected to demonstrate good programming and analytical skills. They should also be proactive in contributing to team goals and objectives. Overall| the role emphasizes teamwork and technical expertise.
Essential Skills: Experience with Teamcenter Active Workspace (AWC3.2 and above) application upgrades is advantageous. Familiarity with TC/NX applications upgrades is beneficial. A good understanding of Teamcenters overall architecture is a plus. Generic managerial skills may enhance a candidates profile. Any additional certifications related to Teamcenter would be favorable.Strong development experience in server-side (ITK) and client-side customization (RAC) is essential. Expertise in Teamcenter 14.x or later versions is required. Proficiency in programming languages such as C| C++| and Java is a must. Candidates should have good functional knowledge across multiple Teamcenter PLM modules. Strong analytical skills and the ability to work as a team player are also critical.
Responsibilities
Forgerock Identity Management Role Descriptions: The key responsibilities include ownership of development tasks and ensuring quality in deliverables. The role requires collaboration with team members and sharing knowledge effectively. Candidates are expected to demonstrate good programming and analytical skills. They should also be proactive in contributing to team goals and objectives. Overall| the role emphasizes teamwork and technical expertise.
Essential Skills: Experience with Teamcenter Active Workspace (AWC3.2 and above) application upgrades is advantageous. Familiarity with TC/NX applications upgrades is beneficial. A good understanding of Teamcenters overall architecture is a plus. Generic managerial skills may enhance a candidates profile. Any additional certifications related to Teamcenter would be favorable.Strong development experience in server-side (ITK) and client-side customization (RAC) is essential. Expertise in Teamcenter 14.x or later versions is required. Proficiency in programming languages such as C| C++| and Java is a must. Candidates should have good functional knowledge across multiple Teamcenter PLM modules. Strong analytical skills and the ability to work as a team player are also critical.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Programming Techniques and Concepts~EIS : Teamcenter Product (PLM)~Utilities - Domain Knowledge
