Senior Manager / Data and AI Principal (GenAI, and Analytics) || Noida || Immediate Joiner

HCLTech is hiring Data and AI Principal /Senior Manager (Generative AI) for Noida.

HCLTech is a global technology company, home to more than 218,000 people across 59 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2024 totaled $13.7 billion. To learn how we can supercharge progress for you, visit hcltech.com.

Key Responsibilities:

Hands-on Technical Leadership & Oversight:

• Architecting Scalable Systems

  : Lead the design of AI

  , GenAI solutions

  ,

  machine learning pipelines

  , and

  data architectures

  that ensure

  performance

  ,

  scalability

  , and

  resilience

  .

• Hands-on Development

  : Actively contribute to

  coding

  ,

  code reviews

  ,

  solution design

  , and

  hands-on troubleshooting

  for critical components of

  GenAI

  ,

  ML

  , and

  data pipelines

  .

• Cross-Functional Collaboration

  : Work with

  Account Teams

  ,

  Client Partners and Domain SMEs

  to ensure alignment between technical solutions and business needs.

• Team Leadership

  : Mentor and guide engineers across various functions including

  AI,

  GenAI

  ,

  Full Stack, Data Pipelines

  ,

  DevOps

  , and

  Machine Learning

  , fostering a collaborative and high-performance team environment.

Solution Design & Architecture:

• System & API Architecture

  : Design and implement

  microservices architectures

  ,

  RESTful APIs

  ,

  cloud-based services

  , and

  machine learning models

  that integrate seamlessly into

  GenAI

  and

  data platforms

  .

• AI, GenAI, Agentic AI Integration

  : Lead the integration of

  AI,

  GenAI, and Agentic applications

  ,

  NLP models

  , and

  large language models (

  e.g.,

  GPT

  ,

  BERT

  ) into scalable production systems.

• Data Pipelines

  : Architect

  ETL pipelines

  ,

  data lakes

  , and

  data warehouses

  using industry-leading tools like

  Apache Spark

  ,

  Airflow

  , and

  Google BigQuery

  .

• Cloud Infrastructure

  : Drive the deployment and scaling of solutions using cloud platforms like

  AWS

  ,

  Azure

  ,

  GCP

  , and other relevant cloud-native technologies.

Machine Learning & AI Solutions:

• ML Integration

  : Lead the design and deployment of

  machine learning

  models using frameworks like

  PyTorch

  ,

  TensorFlow

  ,

  scikit-learn

  , and

  spaCy

  into end-to-end production workflows, including building of SLMs.

• Prompt Engineering

  : Develop and optimize

  prompt engineering

  techniques for

  GenAI

  models to ensure accurate, relevant, and reliable output.

• Model Monitoring

  : Implement best practices for

  ML model performance monitoring

  , continuous training, and model versioning in production environments.

DevOps & Cloud Infrastructure:

• CI/CD Pipeline Leadership

  : Have good working knowledge of

  CI/CD pipelines

  , leveraging tools like

  Jenkins

  ,

  GitLab CI

  ,

  Terraform

  , and

  Ansible

  for automating the build, test, and deployment processes.

• Infrastructure Automation

  : Lead efforts in

  Infrastructure-as-Code

  and ensure automated provisioning of infrastructure through tools like

  Terraform

  ,

  CloudFormation

  ,

  Docker

  , and

  Kubernetes

  .

• Cloud Management

  : Ensure robust integration with cloud platforms such as

  AWS

  ,

  Azure

  ,

  GCP

  , and experience with specific services such as

  AWS Lambda

  ,

  Azure ML

  ,

  Google BigQuery

  , and others.

Cross-Team Collaboration:

• Stakeholder Communication

  : Act as the key technical liaison between engineering teams and non-technical stakeholders, ensuring technical solutions meet business and user requirements.

• Agile Development

  : Promote

  Agile

  methodologies and do solution and code design reviews to deliver milestones efficiently while ensuring high-quality code.

Performance Optimization & Scalability:

• Optimization

  : Lead performance tuning and optimization for high-traffic applications, especially around

  machine learning models

  ,

  data storage

  ,

  ETL processes

  , and

  API latency

  .

• Scaling

  : Ensure solutions scale seamlessly with growth, leveraging cloud-native tools and

  load balancing

  strategies such as

  AWS Auto Scaling

  ,

  Azure Load Balancer

  ,

  Kubernetes Horizontal Pod Autoscaler

  .

Required Qualifications:

• 15+ years of hands-on technical experience

  in software engineering, with at least

  5+ years

  in a

  leadership role

  managing cross-functional teams, including

  AI, GenAI

  ,

  machine learning

  ,

  data engineering

  , and

  cloud infrastructure

  .

• Hands-on Experience

  in designing and developing

  large-scale systems

  , including

  AI, GenAI

  ,

  Agentic AI, API architectures

  ,

  data systems

  ,

  ML pipelines

  , and

  cloud-native applications

  .
• Strong experience with

  cloud platforms

  such as

  AWS

  ,

  GCP

  ,

  Azure

  with a focus on cloud services related to

  ML

  ,

  AI

  , and

  data engineering

  .

• Programming Languages

  : Proficiency in

  Python

  ,

  Flask/Django/FastAPI

• Experience with

  API development

  (RESTful APIs,

  GraphQL

  ).

• Machine Learning & AI

  : Extensive experience in building and deploying

  ML models

  using

  TensorFlow

  ,

  PyTorch

  ,

  scikit-learn

  , and

  spaCy

  , with hands-on experience in integrating them into

  AI,

  GenAI

  and Agentic frameworks like

  LangChain

  and

  MCP

  .

• Data Engineering

  : Familiarity with

  ETL pipelines

  ,

  data lakes

  ,

  data warehouses

  (e.g.,

  AWS Redshift

  ,

  Google BigQuery

  ,

  PostgreSQL

  ), and

  data processing tools

  like

  Apache Spark

  ,

  Airflow

  , and

  Kafka

  .

• DevOps & Automation

  : Strong expertise in

  CI/CD

  pipelines,

  containerization

  (

  Docker

  ,

  Kubernetes

  ),

  Infrastructure-as-Code

  (

  Terraform

  ,

  CloudFormation

  ,

  Ansible

  ).
• Experience with

  API security

  ,

  OAuth

  , and

  rate limiting

  for high-traffic, secure systems.

Tools & Technologies:

• Cloud Platforms

  : AWS, GCP, Azure, Google Cloud AI, AWS SageMaker, Azure Machine Learning.

• Data Engineering

  :

  A

  pache Kafka, Apache Spark, Airflow, Presto, Hadoop, Google BigQuery, AWS Redshift.

• Machine Learning

  : TensorFlow, PyTorch, scikit-learn, spaCy, HuggingFace, OpenAI GPT.

• CI/CD & DevOps

  : GitLab CI, Jenkins, Docker, Kubernetes, Terraform, Ansible, Helm.

• API Frameworks

  : FastAPI, Flask, GraphQL, RESTful APIs

  .

• Version Control

  : Git, GitHub, GitLab.

Interested candidates, kindly share your profile on paridhnya_dhawankar@hcltech.com with below details.

Overall Experience:

Skills:

Current and Preferred Location:

Current and Expected CTC:

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