Lead II - Software Engineering

4 - 7 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role Description

Role Proficiency:Act creatively to develop applications by selecting appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions. Account for others' developmental activities; assisting Project Manager in day to day project execution.

Outcomes

  • Interpret the application feature and component designs to develop the same in accordance with specifications.
  • Code debug test document and communicate product component and feature development stages.
  • Validate results with user representatives integrating and commissions the overall solution.
  • Select and create appropriate technical options for development such as reusing improving or reconfiguration of existing components while creating own solutions for new contexts
  • Optimises efficiency cost and quality.
  • Influence and improve customer satisfaction
  • Influence and improve employee engagement within the project teams
  • Set FAST goals for self/team; provide feedback to FAST goals of team members

Measures Of Outcomes

  • Adherence to engineering process and standards (coding standards)
  • Adherence to project schedule / timelines
  • Number of technical issues uncovered during the execution of the project
  • Number of defects in the code
  • Number of defects post delivery
  • Number of non compliance issues
  • Percent of voluntary attrition
  • On time completion of mandatory compliance trainings

Code

Outputs Expected:
  • Code as per the design
  • Define coding standards templates and checklists
  • Review code – for team and peers

Documentation

  • Create/review templates checklists guidelines standards for design/process/development
  • Create/review deliverable documents. Design documentation

Requirements

test cases and results

Configure

  • Define and govern configuration management plan
  • Ensure compliance from the team

Test

  • Review/Create unit test cases scenarios and execution
  • Review test plan created by testing team
  • Provide clarifications to the testing team

Domain Relevance

  • Advise software developers on design and development of features and components with deeper understanding of the business problem being addressed for the client
  • Learn more about the customer domain and identify opportunities to provide value addition to customers
  • Complete relevant domain certifications

Manage Project

  • Support Project Manager with inputs for the projects
  • Manage delivery of modules
  • Manage complex user stories

Manage Defects

  • Perform defect RCA and mitigation
  • Identify defect trends and take proactive measures to improve quality

Estimate

  • Create and provide input for effort and size estimation and plan resources for projects

Manage Knowledge

  • Consume and contribute to project related documents share point libraries and client universities
  • Review the reusable documents created by the team

Release

  • Execute and monitor release process

Design

  • Contribute to creation of design (HLD LLD SAD)/architecture for applications features business components and data models

Interface With Customer

  • Clarify requirements and provide guidance to Development Team
  • Present design options to customers
  • Conduct product demos
  • Work closely with customer architects for finalizing design

Manage Team

  • Set FAST goals and provide feedback
  • Understand aspirations of the team members and provide guidance opportunities etc
  • Ensure team members are upskilled
  • Ensure team is engaged in project
  • Proactively identify attrition risks and work with BSE on retention measures

Certifications

  • Obtain relevant domain and technology certifications

Skill Examples

  • Explain and communicate the design / development to the customer
  • Perform and evaluate test results against product specifications
  • Break down complex problems into logical components
  • Develop user interfaces business software components
  • Use data models
  • Estimate time and effort resources required for developing / debugging features / components
  • Perform and evaluate test in the customer or target environments
  • Make quick decisions on technical/project related challenges
  • Manage a team mentor and handle people related issues in team
  • Have the ability to maintain high motivation levels and positive dynamics within the team.
  • Interface with other teams designers and other parallel practices
  • Set goals for self and team. Provide feedback for team members
  • Create and articulate impactful technical presentations
  • Follow high level of business etiquette in emails and other business communication
  • Drive conference calls with customers and answer customer questions
  • Proactively ask for and offer help
  • Ability to work under pressure determine dependencies risks facilitate planning handling multiple tasks.
  • Build confidence with customers by meeting the deliverables timely with a quality product.
  • Estimate time and effort of resources required for developing / debugging features / components

Knowledge Examples

  • Appropriate software programs / modules
    • Functional & technical designing
    • Programming languages – proficient in multiple skill clusters
    • DBMS
    • Operating Systems and software platforms
    • Software Development Life Cycle
    • Agile – Scrum or Kanban Methods
    • Integrated development environment (IDE)
    • Rapid application development (RAD)
    • Modelling technology and languages
    • Interface definition languages (IDL)
    • Broad knowledge of customer domain and deep knowledge of sub domain where problem is solved

Additional Comments

Job Title

: AI Tech Lead

Experience

: 4 to 7 years

Location

: Chennai / Thiruvananthapuram (TVM) / Kochi

Employment Type

: Full-Time

About The Role

We are seeking a

highly skilled AI Tech Lead

to design, develop, and lead the deployment of end-to-end AI solutions on

AWS

. This role requires deep technical expertise in

cloud infrastructure, AWS AI services, NLP, AIOps

, and building

secure, scalable, and production-ready systems

. The ideal candidate will have experience in leading cross-functional teams and delivering high-impact AI projects aligned with business goals.

Key Responsibilities

Cloud Infrastructure & Deployment

  • Design scalable, secure AI infrastructure using AWS services: EC2, VPC, RDS, DynamoDB, SageMaker, Bedrock, CloudWatch.
  • Implement Infrastructure-as-Code (IaC) using Terraform and manage CI/CD pipelines for seamless deployment.
  • Ensure high availability, fault tolerance, and operational excellence of cloud-based AI solutions.

AI Project Leadership

  • Translate business objectives into technical AI solutions and success metrics.
  • Lead the end-to-end development lifecycle: data ingestion, modeling, deployment, and monitoring.
  • Define and enforce AI architecture standards and best practices.

Model Development & Responsible AI

  • Guide selection and implementation of AI/ML models, including bias detection, explainability, and governance frameworks.
  • Use AWS tools to optimize model performance, cost-efficiency, and scalability.

Security & Compliance

  • Enforce security best practices including IAM roles, encryption, and secure access policies.
  • Ensure compliance with data governance and industry standards (e.g., GDPR, HIPAA).

Team Leadership & Collaboration

  • Lead and mentor a team of ML engineers, software developers, analysts, and DevOps engineers.
  • Conduct performance reviews and provide strategic direction to the AI engineering team.
  • Foster cross-functional collaboration and effective communication across teams.

Monitoring & Maintenance

  • Implement model monitoring, drift detection, and ongoing reliability measures in production.

Mandatory Skills & Experience

  • 4–7 years of experience in AI/ML development and deployment.
  • Proven track record of leading AI/ML projects on AWS.
  • Strong expertise in AWS services: EC2, SageMaker, Bedrock, RDS, VPC, DynamoDB, CloudWatch.
  • Proficiency in Python, Terraform, Docker, and Git.
  • Solid understanding of CI/CD, MLOps, and cloud security.
  • Experience with responsible AI practices: fairness, bias mitigation, explainability.

Skills

Aws,Python,Cloud

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