HCLTech is hiring for Senior Technical Architect role. Job Summary We are seeking an experienced, high-impact AI Development Lead cum Project Manager with a minimum of 10+ years of proven industry experience to spearhead our artificial intelligence and machine learning delivery portfolio. This hybrid leadership role is designed for a technologist who bridges deep algorithmic competence with rigorous Agile project management expertise. In this dual-capacity role, you will be equally accountable for technical architectural integrity, code quality, and MLOps pipelines (Technical Lead), as well as project scheduling, scope control, resource loading, client stakeholder management, risk mitigation, and budget adherence (Project Manager). You will guide cross-functional teams of Data Scientists, Machine Learning Engineers, Full-Stack Developers, and QA Analysts to deliver cutting-edge AI solutions on time and within budget.

Key Responsibilities
• Lead end-to-end architecture, development, and deployment of enterprise AI systems across NLP, Computer Vision, Predictive Modeling, and Generative AI / LLM applications.
• Establish and enforce coding standards, peer code review protocols, algorithmic rigor, unit/integration testing, and repository branching strategies.
• Oversee production MLOps workflows including automated model training pipelines, experiment tracking, feature stores, model registries, containerized inference, and drift monitoring.
• Drive architectural design for Retrieval-Augmented Generation (RAG), LLM fine-tuning, prompt engineering frameworks, and agentic workflows using LangChain/LlamaIndex.
• Enforce AI security standards, model explainability, bias mitigation,



data governance, and regulatory compliance (GDPR, HIPAA, SOC 2).
• Define detailed project charters, Statements of Work (SOWs), work breakdown structures (WBS), sprint backlogs, and resource loading schedules.
• Act as Scrum Master / Agile Delivery Lead, orchestrating sprint planning, daily stand-ups, backlog grooming, sprint reviews, and retrospectives in Jira.
• Track project milestones, sprint velocity, burn-down charts, and deliverables; proactively identify and resolve bottlenecks, dependencies, and scope creep.
• Forecast and control project financials, billable resource utilization, team allocations, software licensing costs, and cloud compute expenditure.
• Maintain proactive risk registers, issue escalation matrices, and mitigation strategies to safeguard delivery deadlines and SLAs.
• Directly manage, coach, and upskill a high-performing cross-functional squad of 10–25 data scientists, ML engineers, backend developers, and testers.
• Serve as the primary liaison between business sponsors, executive leadership, client product owners, and technical delivery teams.
• Translate complex business challenges into quantifiable AI user stories and technical delivery epics with well-defined acceptance criteria.




• Collaborate with pre-sales and leadership on RFP responses, solution scoping, project estimation, and client discovery workshops. Required Skills & Qualifications
• Minimum 10+ years of professional IT/software engineering experience, with at least 4+ years in a dual role combining AI technical leadership and project delivery.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, or equivalent engineering discipline.
• High proficiency in Python, PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, Pandas, NumPy, and OpenCV.
• Hands-on experience architecting RAG pipelines, vector databases (Azure AI Search, Pinecone, Chroma, Milvus), prompt engineering, and agentic frameworks (LangChain, AutoGen).
• Production experience with MLflow, Kubeflow, Docker, Kubernetes, CI/CD tools (GitHub Actions, GitLab CI, Azure DevOps), and automated model deployment.
• Deep architectural familiarity with major cloud AI platforms: Microsoft Azure (Azure OpenAI, Azure ML) and/or AWS (SageMaker, Bedrock).
• Proven track record managing projects using Scrum, Kanban, and Secure frameworks; expert administrator in Jira, Confluence, and MS Project.
• Demonstrated capability in project estimation (Story Points, Function Points, Three-Point Estimation), risk mitigation, and milestone tracking.
• Exceptional executive-level communication, client relationship management, negotiation, and conflict resolution capabilities. Job Location
- Noida or Chennai Work Mode
- Hybrid Interested candidates can share their resume at [email protected]

📌 Senior Technical Architect (Noida)
🏢 HCLTech
📍 Noida