Gen AI Engineer at HCLTech in Redmond, WA

Summary: HCLTech is looking for a highly talented and self-motivated Sr. GenAI Engineer / Architect to join it in advancing the technological world through innovation and creativity. The role involves designing, building, and deploying AI applications leveraging LLMs and agentic frameworks, participating in the end-to-end SDLC, and collaborating closely with stakeholders to deliver robust, scalable AI solutions. Responsibilities: - 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 Qualifications: - 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 - Python (scripting, data manipulation); familiarity with NumPy, Pandas, Matplotlib, Scikit Learn etc - GenAI / Agent frameworks: Autogen, Semantic Kernel, Azure AI Foundry, Azure OpenAI, LangChain, LangGraph - 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 Preferred Qualifications: - 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 Required Skills: Python, GenAI frameworks, Machine learning fundamentals, Azure platform Important Skills: Data science algorithms, GenAI tools Nice-to-Have Skills: Clean code, Testing, Documentation Benefits: Medical, Dental, Vision, Pharmacy, Life, Accidental death & dismemberment, Disability insurance, Employee assistance program, 401(k) retirement plan, 10 days of paid time off per year, 10 paid holidays per year