Senior Technical Lead - C#, Python, C++

We are looking for an experienced AI Developer to design, develop, test, and deploy enterprise-grade Generative AI and Agentic AI solutions leveraging the Google AI ecosystem, including Gemini models, Vertex AI, Google AI Studio, Agent Development frameworks, RAG architectures, and AI evaluation/testing methodologies. The candidate will be responsible for building intelligent AI agents, orchestrating multi-agent workflows, integrating enterprise systems, and ensuring production-grade reliability, security, and governance of AI solutions.

AI Solution Development
Design and develop Generative AI applications using Gemini models. Build enterprise AI assistants, copilots, chatbots, and AI agents. Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories. Integrate AI capabilities with enterprise applications, APIs, databases, and cloud services.

Agentic AI Engineering
Design and implement autonomous and multi-agent systems. Build agent orchestration workflows using planning, reasoning, memory, and tool-calling capabilities. Develop agents that can interact with APIs, enterprise tools, databases, SharePoint, and business applications. Implement Human-in-the-Loop (HITL) mechanisms for critical decision workflows. Develop agent guardrails and safety controls.

Google AI Platform Expertise
Build and deploy AI solutions using:

Google Gemini Models Vertex AI Google AI Studio Vertex AI Agent Builder Vertex AI Search Vertex AI Extensions Vertex AI Pipelines Model Garden Prompt Management Frameworks

AI Testing & Evaluation
Design AI testing frameworks and evaluation pipelines. Validate:

Correctness Accuracy Hallucination Rate Relevance Groundedness Safety Toxicity Latency Cost Efficiency

Build automated regression testing for AI agents.Perform red-teaming and adversarial testing. Create benchmark datasets and evaluation metrics.

Production Deployment & Operations
Deploy and monitor AI workloads on Google Cloud Platform (GCP). Establish observability, monitoring, and AI governance controls. Optimize model performance, token consumption, latency, and operational costs. Implement CI/CD and MLOps/LLMOps practices.

Stakeholder Collaboration
Gather business requirements and convert them into AI solutions. Collaborate with product owners, architects, data engineers, and business stakeholders. Provide technical leadership on AI strategy and implementation.

Required Technical Skills Generative AI Google AI Stack Agent AI Engineering RAG & Knowledge Systems AI Evaluation & Testing Programming & Engineering Cloud & Dev Ops Education  & Experience Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.

Experience2–4+ years in software development.
2–4+ years in AI/ML or Generative AI solutions. Hands-on experience with Gemini and Google Cloud AI services.

Experience in deploying AI applications into production environments.

Education & Experience Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.

Experience 2–4+ years in AI/ML or Generative AI solutions. Hands-on experience with Gemini and Google Cloud AI services. Experience in deploying AI applications into production environments.

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 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 June 2026totaled $14.8billion.

A candidate’s pay within the range will depend on their 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.