Overview
HCLTech is looking for a highly talented and self-motivated GenAI Architect to join it in advancing the technological world through innovation and creativity. Job Title:
GenAI Architect Job ID:
(58039) Position Type:
Full-time Location:
Redmond, WA Background
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 will participate in end-to-end SDLC—from analysis and design to development, testing, and deployment—and collaborate closely with stakeholders to deliver robust, scalable AI solutions. Senior engineers will lead design and customer interactions; junior engineers will focus on model training, fine-tuning, and data preparation. Role/Responsibilities
Responsibilities Core Participate in the analysis and design of GenAI and Agentic AI applications. Develop AI solutions using frameworks such as Microsoft Agent Framework – Autogen, Semantic Kernel, Copilot Studio and LangChain/ LangGraph. 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. Work with Azure cloud platform is required. AWS / Google Cloud knowledge is a plus. Required Skills & Qualifications
Core Technical Skills (All Levels) Python (scripting, data manipulation); familiarity with NumPy, Pandas, Matplotlib, Scikit Learn etc.. Understanding of machine learning fundamentals: supervised vs. unsupervised learning, neural networks, NLP. Familiarity with GenAI tools: MCP Server, Agent 2 Agent Communication, Hugging Face Transformers, OpenAI APIs, and diffusion models (for image generation). Working knowledge of Azure platform and PaaS services Ability to work across the SDLC with clean code, testing, and documentation. Nice-to-Have Experience with AutoGen / LangGraph multi-agent patterns and orchestration. Knowledge of RAG pipelines, vector databases, prompt optimization, and safety/guardrails. 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. Pay and Benefits
Pay Range Maximum:
$200000 Per Year HCLTech
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 secure@hcltech.com for investigation. 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 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.
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HCLTech is looking for a highly talented and self-motivated GenAI Architect to join it in advancing the technological world through innovation and creativity. Job Title:
GenAI Architect Job ID:
(58039) Position Type:
Full-time Location:
Redmond, WA Background
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 will participate in end-to-end SDLC—from analysis and design to development, testing, and deployment—and collaborate closely with stakeholders to deliver robust, scalable AI solutions. Senior engineers will lead design and customer interactions; junior engineers will focus on model training, fine-tuning, and data preparation. Role/Responsibilities
Responsibilities Core Participate in the analysis and design of GenAI and Agentic AI applications. Develop AI solutions using frameworks such as Microsoft Agent Framework – Autogen, Semantic Kernel, Copilot Studio and LangChain/ LangGraph. 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. Work with Azure cloud platform is required. AWS / Google Cloud knowledge is a plus. Required Skills & Qualifications
Core Technical Skills (All Levels) Python (scripting, data manipulation); familiarity with NumPy, Pandas, Matplotlib, Scikit Learn etc.. Understanding of machine learning fundamentals: supervised vs. unsupervised learning, neural networks, NLP. Familiarity with GenAI tools: MCP Server, Agent 2 Agent Communication, Hugging Face Transformers, OpenAI APIs, and diffusion models (for image generation). Working knowledge of Azure platform and PaaS services Ability to work across the SDLC with clean code, testing, and documentation. Nice-to-Have Experience with AutoGen / LangGraph multi-agent patterns and orchestration. Knowledge of RAG pipelines, vector databases, prompt optimization, and safety/guardrails. 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. Pay and Benefits
Pay Range Maximum:
$200000 Per Year HCLTech
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 secure@hcltech.com for investigation. 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 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.
#J-18808-Ljbffr