- 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: Solid 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 (Artificial Intelligence) (Noida)
🏢 Veersa Technologies
📍 Noida