HCLTech · 15 hours ago
AI Principal
United States
Full-time
Remote
Senior Level, Lead/Staff
$121K/yr - $249K/yr
13+ years expHCLTech is looking for a highly talented and self-motivated AI Principal to join it in advancing the technological world through innovation and creativity. The role involves hands-on technical leadership, overseeing the design and development of AI and machine learning solutions, and collaborating with cross-functional teams to ensure alignment between technical solutions and business needs.
Information and Communications Technology (ICT)IT ManagementOutsourcingSoftwareTelecommunications
Hiring Manager
Billy S.
Responsibilities
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
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
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
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
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, do solution, and code design reviews to deliver milestones efficiently while ensuring high-quality code
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
Qualification
Required
13+ 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
Preferred
Big Data & Distributed Systems: Knowledge of Hadoop, Spark, Presto, and other big data technologies for distributed processing
MLOps: Experience with MLOps tools and practices for model monitoring, deployment, and continuous training in production environments
Machine Learning Model Optimization: Understanding of techniques for hyperparameter tuning, model interpretability, and model versioning
Business Intelligence (BI): Experience with BI tools such as Tableau, Power BI, and data visualization techniques
Security & Compliance: Familiarity with security best practices for cloud-native applications and regulatory compliance (e.g., GDPR, HIPAA)
Benefits
Medical
Dental
Vision
Pharmacy
Life
Accidental death & dismemberment
Disability insurance
Employee assistance program
401(k) retirement plan
10 days of paid time off per year
10 paid holidays per year
Company
HCLTech
HCLTech is a global IT company offering digital, engineering, and cloud solutions partnering with businesses for transformation.
10001+ employees
H1B Sponsorship
HCLTech has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2975)
2024 (3974)
2023 (3649)
2022 (3861)
2021 (4093)
2020 (4317)
Funding
Current Stage
Public CompanyTotal Funding
$220MKey Investors
ChrysCapital
2008-07-10Post Ipo Equity· $220M
2000-01-06IPO
Leadership Team
Vijayakumar C.
Chief Executive Officer
Alan Flower
Executive Vice President - CTO & Global Head, AI & Cloud Native Labs
Recent News
2026-01-05
Techcircle
2025-12-31
Company data provided by crunchbase