Technology Lead Generative AI
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Job Summary
Job Description
Today the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.
At Infosys we assure that your career will never stand still we will inspire you to build whats next and we will navigate further together. Our journey of learnability values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.
Your role
In the role of Technology Lead you will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation Application Architecture definition and Design. You will play an important role in creating the high level design artifacts. You will also deliver high quality code deliverables for a module lead validation for all types of testing and support activities related to implementation transition and warranty. You will be part of a learning culture where teamwork and collaboration are encouraged excellence is rewarded and diversity is respected and valued.
- Total Experience Required: 8-10 Years
- Hands-on experience in software platform or cloud engineering
- Hands-on experience with AI/ML or Generative AI solutions
- Strong experience with AWS Bedrock SageMaker and LLM-based application development
- Proficiency in LangChain and LangGraph for building complex AI agents workflows and multi-step reasoning systems
- Experience with Databricks for building and deploying Generative AI solutions including Model Serving AI Gateway and Unity Catalog
- Proven experience implementing RAG architectures and vector search solutions using Databricks Vector Search LangChain retrievers Amazon OpenSearch Service Pinecone or FAISS
- Experience with vector databases and embeddings management in production environments
- Experience delivering end-to-end AI applications including backend services APIs and basic user interfaces for AI-driven solutions
- Solid background in AWS cloud services (Lambda ECS/EKS API Gateway S3 ECR EventBridge)
- Hands-on experience with Databricks Lakehouse platform Delta Lake and data governance using Unity Catalog
- Hands-on experience with AWS AI services: Textract Comprehend Kendra or Bedrock Knowledge Bases
- Experience with Databricks Notebooks Jobs and Workflows for AI/ML pipeline orchestration
- Strong programming experience in Python (required) with PySpark experience for large-scale data processing
- Deep expertise in prompt engineering LangChain prompt templates few-shot learning and LLM performance tuning
Preferred
- Strong experience using LangGraph for agentic workflows state management and intelligent orchestration of AI systems
- Familiarity with AI observability including model monitoring logging and usage analytics using LangSmith Amazon CloudWatch MLflow or Databricks Monitoring
- Experience designing scalable resilient and secure enterprise systems
- Excellent communication skills with the ability to translate business needs into technical solutions
- Experience implementing authentication and authorization using AWS IAM Cognito Databricks Unity Catalog permissions and RBAC
- Infrastructure as Code experience using Terraform or AWS CloudFormation for provisioning Databricks workspaces and AWS resources
- CI/CD experience using GitHub Actions AWS CodePipeline or GitLab CI/CD with Databricks Asset Bundles
- Understanding of data privacy PII handling and responsible AI practices
- Experience working in regulated or large enterprise environments
- Prior experience acting as a technical lead
- Familiarity with LangChain ecosystem tools: LangServe LangSmith and community integrations
Personal
Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include:
About Infosys
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises we expertly steer our clients through the many next of their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills expertise and ideas from our innovation ecosystem.
Visit to see how Infosys can help your enterprise navigate your next.
All aspects of employment at Infosys are based on merit competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer
Today the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.
At Infosys we assure that your career will never stand still we will inspire you to build whats next and we will navigate further together. Our journey of learnability values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.
Your role
In the role of Technology Lead you will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation Application Architecture definition and Design. You will play an important role in creating the high level design artifacts. You will also deliver high quality code deliverables for a module lead validation for all types of testing and support activities related to implementation transition and warranty. You will be part of a learning culture where teamwork and collaboration are encouraged excellence is rewarded and diversity is respected and valued.
- Total Experience Required: 8-10 Years
- Hands-on experience in software platform or cloud engineering
- Hands-on experience with AI/ML or Generative AI solutions
- Strong experience with AWS Bedrock SageMaker and LLM-based application development
- Proficiency in LangChain and LangGraph for building complex AI agents workflows and multi-step reasoning systems
- Experience with Databricks for building and deploying Generative AI solutions including Model Serving AI Gateway and Unity Catalog
- Proven experience implementing RAG architectures and vector search solutions using Databricks Vector Search LangChain retrievers Amazon OpenSearch Service Pinecone or FAISS
- Experience with vector databases and embeddings management in production environments
- Experience delivering end-to-end AI applications including backend services APIs and basic user interfaces for AI-driven solutions
- Solid background in AWS cloud services (Lambda ECS/EKS API Gateway S3 ECR EventBridge)
- Hands-on experience with Databricks Lakehouse platform Delta Lake and data governance using Unity Catalog
- Hands-on experience with AWS AI services: Textract Comprehend Kendra or Bedrock Knowledge Bases
- Experience with Databricks Notebooks Jobs and Workflows for AI/ML pipeline orchestration
- Strong programming experience in Python (required) with PySpark experience for large-scale data processing
- Deep expertise in prompt engineering LangChain prompt templates few-shot learning and LLM performance tuning
Preferred
- Strong experience using LangGraph for agentic workflows state management and intelligent orchestration of AI systems
- Familiarity with AI observability including model monitoring logging and usage analytics using LangSmith Amazon CloudWatch MLflow or Databricks Monitoring
- Experience designing scalable resilient and secure enterprise systems
- Excellent communication skills with the ability to translate business needs into technical solutions
- Experience implementing authentication and authorization using AWS IAM Cognito Databricks Unity Catalog permissions and RBAC
- Infrastructure as Code experience using Terraform or AWS CloudFormation for provisioning Databricks workspaces and AWS resources
- CI/CD experience using GitHub Actions AWS CodePipeline or GitLab CI/CD with Databricks Asset Bundles
- Understanding of data privacy PII handling and responsible AI practices
- Experience working in regulated or large enterprise environments
- Prior experience acting as a technical lead
- Familiarity with LangChain ecosystem tools: LangServe LangSmith and community integrations
Personal
Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include:
- High analytical skills
- A high degree of initiative and flexibility
- High customer orientation
- High quality awareness
- Excellent verbal and written communication skills
About Infosys
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises we expertly steer our clients through the many next of their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills expertise and ideas from our innovation ecosystem.
Visit to see how Infosys can help your enterprise navigate your next.
All aspects of employment at Infosys are based on merit competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer
Key Skills
- Administrative Skills
- Facilities Management
- Biotechnology
- Creative Production
- Design And Estimation
- Architecture
About Company
Welcome to Infosys Careers for Experienced Professionals As a leading provider of next-generation consulting, technology and outsourcing solutions, we are dedicated to helping organizations in over 46 countries to renew their core and simultaneously innovate into new frontiers. Whilst ... View more
