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 what’s 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.

Required

- 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