Technical Lead
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Software Engineering
In short
Responsibilities
- Deliver AI-enabled tools with measurable efficiency gains.
- Build, ship, and maintain real internal applications using Python.
- Develop LLM-based applications including API integration, prompt design, RAG, and embeddings.
- Work with relational data, structured file ingestion, and data modeling.
- Utilize Python web/data application frameworks (Streamlit, Dash, FastAPI) and engineering disciplines (Git, code review, deployment).
- Collaborate with non-AI practitioners to drive AI adoption.
- Understand and manage AI risk and governance in an enterprise setting.
- Work within regulated (GxP/validated) environments.
- Participate in Agile/Scrum delivery processes.
- Communicate AI capabilities and limitations clearly to stakeholders.
- Gain Veeva Vault literacy within the first 8 weeks for building AI over Vault configuration and documentation.
Requirements
- Demonstrated delivery of AI-enabled tools with measurable efficiency gains.
- Solid software engineering foundation with strong hands-on Python.
- Hands-on experience building LLM-based applications (API integration, prompt design, RAG, embeddings, vector/semantic search, chunking, evaluation, cost/latency control).
- Practical experience with data-centric applications (relational data, file parsing, data modeling, validation).
- Experience with a Python web/data application framework (Streamlit, Dash, FastAPI or equivalent) and standard engineering discipline (Git/GitHub, code review, environment management, deployment).
- Demonstrated ability to work alongside non-AI practitioners and drive adoption.
- Awareness of AI risk and governance (data privacy, hallucination, oversight, change control, Responsible AI).
- Willingness and ability to work within a regulated (GxP/validated) environment.
- Experience in Agile/Scrum delivery (Jira-based backlog, sprint-level delivery).
- Strong English communication skills.
- Veeva Vault literacy or demonstrated ability to achieve it within 8 weeks (object/metadata model, configuration exports/reports, VQL, Vault REST API).
Desired Qualifications
- Ability to explain AI capability and its limits in plain language.
- Role will be cross-trained in Veeva by the CoE.
Benefits
- Supercharge your potential, find your career, and find your spark.
- A place that knows that helping its customers stay on top starts by putting its people first.
- Global technology company with over 223,000 people across 60 countries.
- Delivering industry-leading capabilities centered around digital, engineering, cloud and AI.
- Work with clients across all major verticals including 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 June 2026 totaled $14.8 billion.
Skills
HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, 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 2022 totaled $12.1 billion. To learn how we can supercharge progress for…
Company
HCLTechJob Posted
3 days ago
Employment Type
Full Time
Work mode
On Site
Experience Level
Mid-Senior
Locations
Chennai, India
Applicants
Be an early applicant
