As a Business Architect, the role involves identifying opportunities that can bring measurable business value by assessing the current operational state and capturing high-level requirements from stakeholders. The Business Architect translates complex business needs into technology-enabled solutions and designs effective operating models. Key responsibilities include mentoring junior team members, facilitating communication between business and technology teams, and driving the development of business processes. Candidates should have a strong proficiency in Vue.js and a minimum of 5 years of experience in front-end development.
Responsibilities
As a Business Architect, the role involves identifying opportunities that can bring measurable business value by assessing the current operational state and capturing high-level requirements from stakeholders. The Business Architect translates complex business needs into technology-enabled solutions and designs effective operating models. Key responsibilities include mentoring junior team members, facilitating communication between business and technology teams, and driving the development of business processes. Candidates should have a strong proficiency in Vue.js and a minimum of 5 years of experience in front-end development.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description:
Experience
• 10+ years overall experience in software engineering, data, AI/ML, or architecture
• 5+ years designing and delivering AI/ML and Generative AI solutions
• Experience leading enterprise-scale AI programs
Role Summary
Lead the architecture, governance, and delivery of enterprise AI solutions spanning Machine Learning, Predictive Analytics, Deep Learning, Generative AI, and Agentic AI. Define scalable, secure, and business-aligned AI platforms, applications, and standards.
Key Responsibilities
AI Architecture
• Design end-to-end AI/ML and GenAI solution architectures.
• Define AI reference architectures, standards, and best practices.
• Architect AI-powered applications using ML models, LLMs, RAG, copilots, and AI agents.
AI Platforms & Engineering
• Design AI platforms supporting MLOps, LLMOps, model deployment, monitoring, and governance.
• Establish reusable AI services, APIs, accelerators, and frameworks.
• Drive scalability, reliability, security, and cost optimization.
Data & Cloud
• Architect cloud-native AI solutions on AWS, Azure, or GCP.
• Design data pipelines, lakehouse, feature store, and vector database architectures.
• Integrate AI solutions with enterprise systems and business applications.
Governance & Leadership
• Define Responsible AI, security, compliance, and governance frameworks.
• Lead architecture reviews and mentor AI engineering teams.
• Partner with business stakeholders to identify and prioritize AI opportunities.
Required Skills
• Machine Learning, Deep Learning, NLP, Predictive Analytics
• LLMs, RAG, AI Agents, Prompt Engineering, Vector Databases
• Python, TensorFlow/PyTorch, LangChain/LangGraph, MLflow
• MLOps, LLMOps, Docker, Kubernetes, CI/CD
• AWS, Azure, or GCP
AI/ML Engineer
Experience
• 4–6 years of overall experience in software development, data engineering, AI/ML, or analytics
• 2+ years of hands-on experience in AI/ML and/or Generative AI solutions
Role Summary
Design, develop, and deploy AI-powered applications and solutions leveraging Machine Learning, Generative AI, and Agentic AI solutions. Work closely with architects, data scientists, and business stakeholders to build scalable, secure, and production-ready AI systems.
Key Responsibilities
AI Solution Development
• Develop and implement AI/ML, Generative AI & Agentic solutions for business use cases.
• Build applications using LLMs, RAG, AI Agents, copilots, and intelligent automation frameworks.
• Support model development, evaluation, deployment, and monitoring activities.
Data & AI Engineering
• Build and maintain data pipelines, embeddings pipelines, and vector databases.
• Prepare, transform, and validate data for AI/ML workloads.
• Integrate AI services with enterprise applications and APIs.
Platform & Operations
• Support MLOps and LLMOps processes including deployment, monitoring, and performance optimization.
• Develop reusable components, prompts, workflows, and AI accelerators.
• Contribute to AI platform enhancements and automation initiatives.
Collaboration & Innovation
• Work with cross-functional teams to define requirements and deliver AI solutions.
• Evaluate emerging AI technologies, models, and frameworks.
• Follow AI governance, security, and Responsible AI guidelines.
Required Skills
• Python and software development fundamentals
• Machine Learning, NLP, and data analytics concepts
• LLMs, Prompt Engineering, RAG, and AI Agent frameworks
• LangChain, LangGraph, LlamaIndex, or similar frameworks
• SQL, APIs, and data integration
• Docker, Git, CI/CD fundamentals
• AWS, Azure, or GCP exposure
Important Guidelines:
• Preliminary Evaluation By Partner - Overall assessment of profile from your side.
• Proficiency level on Topic - Candidates knowledge on particular skill
Responsibilities
Job Description:
Experience
• 10+ years overall experience in software engineering, data, AI/ML, or architecture
• 5+ years designing and delivering AI/ML and Generative AI solutions
• Experience leading enterprise-scale AI programs
Role Summary
Lead the architecture, governance, and delivery of enterprise AI solutions spanning Machine Learning, Predictive Analytics, Deep Learning, Generative AI, and Agentic AI. Define scalable, secure, and business-aligned AI platforms, applications, and standards.
Key Responsibilities
AI Architecture
• Design end-to-end AI/ML and GenAI solution architectures.
• Define AI reference architectures, standards, and best practices.
• Architect AI-powered applications using ML models, LLMs, RAG, copilots, and AI agents.
AI Platforms & Engineering
• Design AI platforms supporting MLOps, LLMOps, model deployment, monitoring, and governance.
• Establish reusable AI services, APIs, accelerators, and frameworks.
• Drive scalability, reliability, security, and cost optimization.
Data & Cloud
• Architect cloud-native AI solutions on AWS, Azure, or GCP.
• Design data pipelines, lakehouse, feature store, and vector database architectures.
• Integrate AI solutions with enterprise systems and business applications.
Governance & Leadership
• Define Responsible AI, security, compliance, and governance frameworks.
• Lead architecture reviews and mentor AI engineering teams.
• Partner with business stakeholders to identify and prioritize AI opportunities.
Required Skills
• Machine Learning, Deep Learning, NLP, Predictive Analytics
• LLMs, RAG, AI Agents, Prompt Engineering, Vector Databases
• Python, TensorFlow/PyTorch, LangChain/LangGraph, MLflow
• MLOps, LLMOps, Docker, Kubernetes, CI/CD
• AWS, Azure, or GCP
AI/ML Engineer
Experience
• 4–6 years of overall experience in software development, data engineering, AI/ML, or analytics
• 2+ years of hands-on experience in AI/ML and/or Generative AI solutions
Role Summary
Design, develop, and deploy AI-powered applications and solutions leveraging Machine Learning, Generative AI, and Agentic AI solutions. Work closely with architects, data scientists, and business stakeholders to build scalable, secure, and production-ready AI systems.
Key Responsibilities
AI Solution Development
• Develop and implement AI/ML, Generative AI & Agentic solutions for business use cases.
• Build applications using LLMs, RAG, AI Agents, copilots, and intelligent automation frameworks.
• Support model development, evaluation, deployment, and monitoring activities.
Data & AI Engineering
• Build and maintain data pipelines, embeddings pipelines, and vector databases.
• Prepare, transform, and validate data for AI/ML workloads.
• Integrate AI services with enterprise applications and APIs.
Platform & Operations
• Support MLOps and LLMOps processes including deployment, monitoring, and performance optimization.
• Develop reusable components, prompts, workflows, and AI accelerators.
• Contribute to AI platform enhancements and automation initiatives.
Collaboration & Innovation
• Work with cross-functional teams to define requirements and deliver AI solutions.
• Evaluate emerging AI technologies, models, and frameworks.
• Follow AI governance, security, and Responsible AI guidelines.
Required Skills
• Python and software development fundamentals
• Machine Learning, NLP, and data analytics concepts
• LLMs, Prompt Engineering, RAG, and AI Agent frameworks
• LangChain, LangGraph, LlamaIndex, or similar frameworks
• SQL, APIs, and data integration
• Docker, Git, CI/CD fundamentals
• AWS, Azure, or GCP exposure
Important Guidelines:
• Preliminary Evaluation By Partner - Overall assessment of profile from your side.
• Proficiency level on Topic - Candidates knowledge on particular skill
Salary : Rs. 6,50,000.0 - Rs. 7,50,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Overview
We are looking for a highly skilled AWS DevOps Engineer to join our engineering team. In this role, you will bridge the gap between development and operations by designing, implementing, and managing robust continuous integration and delivery (CI/CD) pipelines. Depending on your experience level, you will either be a core contributor to our infrastructure automation or take on a leadership role in designing highly scalable, secure, and resilient cloud architectures.
Key Responsibilities
• Cloud Infrastructure: Provision, configure, and manage AWS environments (EC2, S3, RDS, VPC, IAM, Lambda, EKS) using Infrastructure as Code (IaC) principles.
• CI/CD Automation: Design, build, and maintain automated deployment pipelines using tools like Jenkins, GitLab CI/CD, or GitHub Actions to ensure seamless software delivery.
• Containerization & Orchestration: Deploy, optimize, and manage microservices architectures using Docker and Kubernetes.
• Monitoring & Observability: Implement comprehensive monitoring and logging solutions (e.g., Prometheus, Grafana, ELK stack, CloudWatch) to track system performance and establish proactive alerting.
• Security & Compliance (DevSecOps): Integrate security scanning into CI/CD pipelines, manage secrets securely, and ensure AWS environments adhere to industry compliance standards.
• Collaboration: Work closely with software developers and QA engineers to troubleshoot issues, optimize system performance, and streamline code releases.
Experience-Based Expectations
Mid-Level (4-7 Years Experience):
• Focuses on maintaining existing CI/CD pipelines and infrastructure.
• Handles day-to-day operational support, troubleshooting, and incident response.
• Writes automation scripts and manages configuration tools under the guidance of senior architects.
Senior & Lead Level (8-12 Years Experience):
• Takes ownership of the overall cloud architecture, capacity planning, and automation strategy.
• Implements advanced zero-downtime deployment strategies (Blue-Green, Canary, Rolling).
• Leads cross-functional technical initiatives, defines infrastructure governance, and mentors junior engineers.
Responsibilities
Role Overview
We are looking for a highly skilled AWS DevOps Engineer to join our engineering team. In this role, you will bridge the gap between development and operations by designing, implementing, and managing robust continuous integration and delivery (CI/CD) pipelines. Depending on your experience level, you will either be a core contributor to our infrastructure automation or take on a leadership role in designing highly scalable, secure, and resilient cloud architectures.
Key Responsibilities
• Cloud Infrastructure: Provision, configure, and manage AWS environments (EC2, S3, RDS, VPC, IAM, Lambda, EKS) using Infrastructure as Code (IaC) principles.
• CI/CD Automation: Design, build, and maintain automated deployment pipelines using tools like Jenkins, GitLab CI/CD, or GitHub Actions to ensure seamless software delivery.
• Containerization & Orchestration: Deploy, optimize, and manage microservices architectures using Docker and Kubernetes.
• Monitoring & Observability: Implement comprehensive monitoring and logging solutions (e.g., Prometheus, Grafana, ELK stack, CloudWatch) to track system performance and establish proactive alerting.
• Security & Compliance (DevSecOps): Integrate security scanning into CI/CD pipelines, manage secrets securely, and ensure AWS environments adhere to industry compliance standards.
• Collaboration: Work closely with software developers and QA engineers to troubleshoot issues, optimize system performance, and streamline code releases.
Experience-Based Expectations
Mid-Level (4-7 Years Experience):
• Focuses on maintaining existing CI/CD pipelines and infrastructure.
• Handles day-to-day operational support, troubleshooting, and incident response.
• Writes automation scripts and manages configuration tools under the guidance of senior architects.
Senior & Lead Level (8-12 Years Experience):
• Takes ownership of the overall cloud architecture, capacity planning, and automation strategy.
• Implements advanced zero-downtime deployment strategies (Blue-Green, Canary, Rolling).
• Leads cross-functional technical initiatives, defines infrastructure governance, and mentors junior engineers.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
The Custom Software Engineering Lead oversees the technical vision and architectural framework of bespoke software projects, guiding teams through the entire lifecycle of design and implementation. This role focuses on delivering scalable and efficient solutions that align with organizational goals while fostering collaboration and innovation. Candidates should have a strong background in SAP BTP Mobile Application Development and experience with cloud-native application development. The position requires a minimum of 3 years of experience and a 15 years full-time education.
Responsibilities
The Custom Software Engineering Lead oversees the technical vision and architectural framework of bespoke software projects, guiding teams through the entire lifecycle of design and implementation. This role focuses on delivering scalable and efficient solutions that align with organizational goals while fostering collaboration and innovation. Candidates should have a strong background in SAP BTP Mobile Application Development and experience with cloud-native application development. The position requires a minimum of 3 years of experience and a 15 years full-time education.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
The Azure Data Engineer / Team Lead will lead the design and implementation of Azure-based data platforms and PaaS solutions while managing a data engineering team. Key responsibilities include developing ETL/ELT pipelines, ensuring data platform performance and security, and collaborating with stakeholders. Candidates should have strong expertise in Microsoft Azure PaaS, data services, and team management, with a minimum of 5 years of experience required.
Responsibilities
The Azure Data Engineer / Team Lead will lead the design and implementation of Azure-based data platforms and PaaS solutions while managing a data engineering team. Key responsibilities include developing ETL/ELT pipelines, ensuring data platform performance and security, and collaborating with stakeholders. Candidates should have strong expertise in Microsoft Azure PaaS, data services, and team management, with a minimum of 5 years of experience required.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
The Packaged or Software as a Service Application Engineering Lead is responsible for the design and continuous improvement of packaged or cloud-based solutions. Key responsibilities include managing configuration settings, overseeing system integrations, and coordinating release activities. The role requires proficiency in SAP BTP Administration and strong knowledge of cloud platform architecture. Candidates should have a minimum of 7.5 years of experience and a 15 years full-time education.
Responsibilities
The Packaged or Software as a Service Application Engineering Lead is responsible for the design and continuous improvement of packaged or cloud-based solutions. Key responsibilities include managing configuration settings, overseeing system integrations, and coordinating release activities. The role requires proficiency in SAP BTP Administration and strong knowledge of cloud platform architecture. Candidates should have a minimum of 7.5 years of experience and a 15 years full-time education.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
