We are looking for GenAI / Agentic AI Architects in senior levels to lead the conceptualization, architect, build, and deploy processes of AI applications leveraging LLMs and agentic frameworks. You will participate in customer discussion in identifying use cases and lead the end-to-end SDLC—from conceptualization to production rollout —and collaborate closely with stakeholders to deliver robust, scalable AI solutions. You will lead the end-to-end technical ownership by interacting with customers and development teams.
Core Responsibilities
Participate in customer meetings, workshops in understanding the business problems and conceptualizing the solution and implementation strategy.
Architect the scalable solutions aligned to the preferred technology stack, tooling, interfaces and integrations of GenAI and Agentic AI applications.
Lead the design and development of AI solutions using frameworks such as Microsoft Agent Framework – Autogen, Semantic Kernel, Copilot Studio andGen AI tooling like MCP servers.
Guide / mentor in selecting and implementing the relevant data science / machine learning algorithms and AI led automation to the developers.
Collaborate with customers/stakeholders on project status and deliverables.
Required Skills & Qualifications
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.
Core Technical Skills
GenAI / Agent frameworks: Azure AI Foundry, Azure OpenAI, Autogen or LangChain, LangGraph.
Python (scripting, data manipulation); familiarity with Python packages like NumPy, Pandas, Matplotlib, Scikit Learn etc.
Knowledge of windows system architecture, device drivers / firmware, windows devices, product life cycle management knowledge is desired.
Understanding of machine learning fundamentals: supervised vs. unsupervised learning, neural networks, NLP.
Experience with RAG pipelines, vector databases, prompt optimization, and safety/guardrails.
Strong knowledge of Azure platform and PaaS services. Familiarity with Power Platform and Copilot Studio is plus.
Nice-to-Have
Communication leveraging the Hugging Face models, ML frameworks like PyTorch / Tensorflow, and diffusion models (for image generation).
Design experience of GenAI tools: MCP Server, Agent 2 Agent protocols
Exposure to MLOps (model versioning, deployment, monitoring).
Cloud certifications (Microsoft Azure) is a plus.
HCLTech is a global technology company, home to more than 226,600 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 September 2025 totaled $14.2 billion. To learn how we can supercharge progress for you, visit hcltech.com.
