Senior Technical Lead - Generative AI

Job Title: Senior Technical Lead - Generative AI

Experience: 10-13 years (with at least 1 year in Generative AI)

Key Responsibilities:

Lead the design, development, and deployment of Generative AI models and solutions on cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.

Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

Drive the end-to-end lifecycle of AI/ML projects, from data collection and preprocessing to model training, evaluation, and deployment.

Mentor and guide junior team members, fostering a culture of continuous learning and innovation.

Stay updated with the latest advancements in Generative AI and AI/ML technologies, and integrate them into ongoing projects.

Optimize and fine-tune AI models for performance, scalability, and reliability.

Develop and maintain comprehensive documentation for all AI/ML projects and processes.

Qualifications:

10-13 years overall IT experience. Out of which 3-4 years hands-on experience in AI/ML, and at least 1 year in Generative AI.

Strong proficiency in Python programming and experience with AI/ML frameworks, models and algorithms.

Strong experience with leading LLMs, RAG, agentic automation, and agent frameworks like Lang Chain, Lang Graph, AutoGen, AutoGPT for Generative AI use-cases.

Hands-on experience in Gen AI observability & monitoring via tools like Lang Smith

Experience with deep learning, CNN, NLP, text-to-speech, speech-to-text, OCR, and image processing techniques.

Experience in Infrastructure related use-cases leveraging Autonomous Agents and/or agentic platform. Should have hands-on experience building Autonomous agents for Gen AI related use-cases.

Extensive experience with cloud platforms (Microsoft Azure/AWS/Google Cloud Platform/IBM WatsonX) and their AI/ML services.

Extensive experience in Prompt Engineering and ability to design and build Prompt libraries for various scenarios applicable in Infrastructure.

Thorough understanding of Responsible AI best practices and standards and experience of implementing them in Gen AI related projects

Proven track record of leading and delivering complex AI/ML projects.

Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Strong communication and leadership skills, with the ability to articulate technical concepts to non-technical stakeholders.

Preferred Skills:

Experience with natural language processing (NLP) and computer vision.

Familiarity with MLOps practices and tools.

Knowledge of data engineering and big data technologies.

Disclaimer

HCL is 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. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.

Compensation and Benefits

A candidate s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.