AI Technical Architect
TekWissen India
2 - 3 years
Bengaluru
Posted: 29/06/2026
Job Description
Job Title: AI Technical Architect
Work Location: Whitefield,Bangalore
Job Type: Full time
Work Type: Onsite
Work Time: UK Shifts (1.30 pm - 10.30 pm)
Overview:
TekWissen is a global workforce management provider throughout India and many other countries in the world.
Job Description:
- 10+ years of overall experience including 2-3 years as Architect
- We are looking for an experienced AI Technical Architect who is responsible for designing enterprise AI solutions that align with business objectives while ensuring scalability, security, and efficiency.
- This role translates business needs into AI-driven architectures (across data ingestion, models and operational workflows), ensuring feasibility, cost-effectiveness, and adherence to industry best practices and firmwide standards.
- They provide deep experience in designing viable, feasible, performant AI solutions.
- This role is for you if you have:
- Proven experience architecting AI-driven solutions for enterprise customers, collaborating with R&D and engineering teams.
- Expertise in AI Architecture, including LLM/SLM (Large Language Models/Small Language Models) deployment, fine-tuning, inference optimization, retrieval-augmented generation (RAG), API- based AI deployment and model orchestration.
- Build and deploy AI solutions primarily on Microsoft Azure (Azure ML, Azure OpenAI).
- Ensure adherence to cloud architecture best practices, scalability, and reliability standards.
- Proficiency in Cloud Security & FinOps, including AI landing zones, model refinement and testing, and compliance strategies.
- Experience in Enterprise AI Design, focusing on scalable, secure, and cost-effective AI integration.
- Understanding of data science principles, enabling informed evaluation of machine learning and statistical models.
Must Have skills:
- Must have experience into the complete life cycle- AI/ML experience.
- Should have hands-on experience in the following areas:
- Deep ML/LLM systems engineering
- RAG and Vector Stores
- Agent Workflow Building
- Hands-on delivery focused
- Multi-Agent Systems
- Strong experience building real GenAI solutions, including:
- RAG implementations
- LangChain, LangGraph, Semantic Kernel, AutoGen or Llamaindex
- Prompt engineering
- Vector databases & embeddings
- Comfortable leading delivery and making technical decisions
- Can code, prototype, and guide teams by example
TekWissen Group is an equal opportunity employer supporting workforce diversity.
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