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Senior Technical Lead

United States

Job Description

Senior Technical Lead

King, Washington

Job Summary

We are looking for GenAI / Agentic Engineers across junior and senior levels to design, build, and deploy AI applications leveraging LLMs and agentic frameworks. You'll handle all phases of the SDLC and work with stakeholders to create reliable, scalable AI solutions. Senior engineers will lead design and customer interactions; junior engineers will focus on model training, fine-tuning, and data preparation.
Responsibilities
Core

- Develop AI solutions using frameworks such as Microsoft Agent Framework - Autogen, Semantic Kernel, Copilot Studio
- Implement data science / machine learning algorithms defined by Solution Architects.
- Follow all SDLC phases: requirements, design, development, testing, deployment, and maintenance.
- Collaborate with customers/stakeholders on project status and deliverables.

Key Responsibilities

We are looking for GenAI / Agentic Engineers across junior and senior levels to design, build, and deploy AI applications leveraging LLMs and agentic frameworks. You'll handle all phases of the SDLC and work with stakeholders to create reliable, scalable AI solutions. Senior engineers will lead design and customer interactions; junior engineers will focus on model training, fine-tuning, and data preparation.
Responsibilities
Core

- Develop AI solutions using frameworks such as Microsoft Agent Framework - Autogen, Semantic Kernel, Copilot Studio
- Implement data science / machine learning algorithms defined by Solution Architects.
- Follow all SDLC phases: requirements, design, development, testing, deployment, and maintenance.
- Collaborate with customers/stakeholders on project status and deliverables.

Skill Requirements

Required Skills & Qualifications
Core Technical Skills (All Levels)

- Hands-on working experience on Azure AI Foundry and Azure services/PAAS.
- Python (scripting, data manipulation); familiarity with NumPy, Pandas, Matplotlib, Scikit Learn etc..
- GenAI / Agent frameworks: Autogen, Semantic Kernel, Azure AI Foundry, Azure OpenAI,
- Understanding of machine learning fundamentals: supervised vs. unsupervised learning, neural networks, NLP.
- Familiarity with GenAI tools: MCP Server, Hugging Face Transformers, OpenAI APIs, and diffusion models (for image generation).




- Ability to work across the SDLC with clean code, testing, and documentation.

Other Requirements

Nice-to-Have

- Experience with AutoGen / LangGraph multi-agent patterns and orchestration.
- Knowledge of RAG pipelines, vector databases, prompt optimization, and safety/guardrails.
- Exposure to MLOps (model versioning, deployment, monitoring).
- Cloud certifications (Microsoft Azure) is a plus.

What You'll Deliver
- Production-ready GenAI/Agentic applications.
- Fine-tuned models and reproducible experiments.
- Clear documentation, test coverage, and deployment pipelines.
- Regular updates on project status and deliverables to stakeholders

Maximum Salary (US):

Minimum Salary (US):

Information at a Glance

Why HCLTech?

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 2026 totaled $14.8 billion.

Compensation and Advantages

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.

Copyright © 2026 HCL Technologies Limited

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📌 Senior Technical Lead (India)
🏢 HCLTech
📍 India