GenAI Project Lead at HCLTech

We are HCLTech, one of the fastest-growing large tech companies in the world and home to 219,000 people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud.

The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be. If all this sounds like an environment you'll thrive in, then you're in the right place.

Job Summary: HCLTech is looking for a highly talented and self- motivated GenAI Project Lead to join it in advancing the technological world through innovation and creativity.

Job Title: GenAI Project Lead / Project Lead

Job ID: 2535139

Position Type: Full-time Employment

Location: USA (Fully Remote)

Overall Experience: 5+ years Overall

• 5+ years of experience in GenAIOps, DevOps, data engineering, or ML infrastructure
• Proven experience automating GenAI/ML pipelineswith tools like AzureDevOps, MLflow, Kubeflow, Airflow, etc.
• Expertise in cloud platforms (e.g., Azure, AWS and Google) for supporting ML/GenAI workloads
• Strong understanding of CI/CD principles and containerization technologies (Docker, Kubernetes).
• Expertise in Infra-as-a-Code (IaaC)tools such as Terraform, CloudFormation, ARM templates, Python and other scripting languages
• Familiarity with monitoring and alerting tools for GenAI systems (e.g., Prometheus, Grafana, LangSmith, Arize AI, Azure Monitor).
• Strong understanding of LLMs (GPT4, Llama3, Gemini),LLM orchestration and associated technologies.
• Experience supporting data science teams with predictive and prescription model lifecycle (training, testing, versioning, inference, experimentation and deployment).
• Excellent communication, collaboration, and problem-solving skills.
• Passion for Generative AI and its potential across industries

Responsibilities:

• Design, develop, and implement ML and GenAIOps pipelines for ML and Generative AI models, covering data ingestion, preprocessing, training, deployment, and monitoring.
• Automate GenAI tasks using Jenkins, GitOps, CI/CD pipelines, and containerization tools such as Docker and Kubernetes.
• Maintain robust monitoring and alerting systems for ML and Generative AI models in production, ensuring timely issue resolution.
• Collaborate with the Generative AI Architect, Data scientists and other team members to optimize model performance and resource utilization.
• Manage cloud infrastructure (e.g., AWS, Google Cloud Platform, Azure) for ML and GenAI workloads, focusing on cost-efficiency and scalability.
• Stay updated on the latest ML/GenAIOps advancements and integrate them into our platform and processes.
• Communicate effectively with technical and non-technical stakeholders about model health and performance.
• Provide L1/L2 support triaging ML/GenAI App issues as reported by business users, data scientists and ML/data engineers.

Pay Range in United States (Fully Remote)

Base Salary: $126,000 - $135,000 + Bonus Structure

In addition, this position qualifies for benefits like health insurance, paid time off (PTO), 401(K). Exact compensation may vary based on skills, experience, education, and/or to comply with federal or state law.

How You ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Equality & Opportunity for All

Representing 165 nationalities across the globe, we pride ourselves on being an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law.