• Job Title: Technical AI Lead or Senior Technical AI Lead or AI Architect
•

Experience:
6 – 12 Years
•

Location:
Sector 144, Noida.
• Industry: Software Development | Artificial Intelligence
• Work Mode: Full time | Onsite/Hybrid Role: Lead the architecture and delivery of scalable AI solutions across machine learning, Generative AI, and agentic systems. Skills &

Qualifications:
•

Education:
B.
Tech is mandatory. Candidates must hold a B.
Tech/M.
Tech/Master’s degree in Computer Science, Statistics, Artificial Intelligence, or a relevant engineering discipline from a Tier 1 or Tier 2 college.
•

Experience:
6–12 years of relevant experience in Machine Learning, Artificial Intelligence (AI), or Data Science roles.
• Academic Preference: Strong academic background with a degree from a reputed Tier 1 or Tier 2 institution.

Key Responsibilities
• Translate business requirements into AI architecture, technical roadmaps, and implementation plans.
• Define model selection, RAG, fine-tuning, and deployment strategies for LLMs and SLMs.
• Design secure integrations with enterprise applications and data platforms.
• Own architecture reviews, engineering standards, and trade-offs across quality, latency, and cost.
• Guide engineering teams from proof of concept to production. Required

Skills:
• 6–12 years in software/data engineering and AI/ML, with experience owning solution architecture.
• Strong Python, software design patterns, APIs, microservices, and distributed systems knowledge.
• Strong foundation in classical ML,



deep learning, model evaluation, and explainability.
• Strong understanding of Transformer architecture, LLMs/SLMs, embeddings, RAG, and agentic workflows.
• Hands-on experience with fine-tuning, LoRA/QLoRA, PyTorch, and Hugging Face.
• Experience designing data pipelines, vector search, knowledge retrieval, and enterprise data integration.
• Experience with GPU sizing, model serving, containers, and cloud architecture—Azure preferred.
• Knowledge of MLOps/LLMOps, CI/CD, model versioning, evaluation, monitoring, and rollback strategies.
• Ability to design for scalability, availability, disaster recovery, and performance.
• Knowledge of AI security, access control, data privacy, prompt injection defenses, and responsible AI.
• Ability to assess build-versus-buy options, platform choices, and infrastructure costs.
• Strong stakeholder communication, architecture documentation, technical leadership, and mentoring skills. Nice to Have
• Model compression, quantization, knowledge distillation, and Transformer pruning.
• Private/on-premises, hybrid-cloud, or multi-tenant AI deployments.
• Multi-agent orchestration, tool integration, and human-in-the-loop workflows.
• Distributed training, inference optimization, and Kubernetes-based GPU workloads.
• Knowledge graphs, GraphRAG, multimodal AI, or domain-specific model adaptation.
• Infrastructure as Code and cloud solution architecture certifications.
• Experience supporting technical proposals, solution estimates, and client architecture workshops.

📌 Technical Lead – AI (Noida)
🏢 Veersa Technologies
📍 Noida