AI Technical Expert
- Location
- Bangalore
- Work mode
- On-site
- Employment type
- Full-time
About the job
Job Title AI Technical Expert Job Description Role Summary: We are looking for a senior technology professional with 15+ years of experience in software engineering, architecture, and enterprise technology, with strong experience across data engineering, machine learning, and AI/Generative AI. The candidate will be responsible for applying AI to solve meaningful enterprise problems and realize measurable business and engineering value, while architecting and delivering scalable AI-enabled solutions and reusable AI capabilities. The role requires strong software and data engineering foundations, AI/ML expertise, system architecture, hands-on development, and technical leadership. Key Responsibilities
• Identify and realize high-value enterprise opportunities through AI, with measurable business and engineering impact.
- Identify and realize high-value enterprise opportunities through AI, with measurable business and engineering impact.
- Architect and develop AI/ML and Generative AI solutions for enterprise use cases.
- Build reliable data pipelines, data platforms and data processing capabilities that support AI/ML solutions.
- Apply ML techniques to develop, train, evaluate and deploy machine learning solutions.
- Design and develop LLM-based applications, including RAG, agents, tool use, and AI-assisted workflows.
- Integrate AI solutions with existing enterprise platforms, APIs, data sources, and engineering tools.
- Establish practices for AI architecture, evaluation, security, observability, and governance.
- Lead POCs from hypothesis through productionisation, with measurable outcomes.
- Mentor engineers and establish engineering best practices.
• 15+ years of software engineering / architecture / technology experience.
- 15+ years of software engineering / architecture / technology experience.
- Strong programming skills, particularly Python, and solid software architecture fundamentals.
- Experience designing data pipelines, data processing workflows, data platforms, and data quality practices.
- Practical experience with ML model development lifecycle including data processing, ML model training, evaluation, deployment, and monitoring.
- Strong understanding of AI/ML techniques and modern GenAI approaches, including but not limited to LLMs, prompting, context engineering and inference.
- Practical experience with LLMs, RAG, AI agents, embeddings, and vector databases.
- Experience with modern AI application frameworks and orchestration technologies such as LangChain, LangGraph, Semantic Kernel or equivalent.
- Experience taking AI/ML solutions from PoC to production in enterprise environments.
- Understanding of AI security, evaluation, observability, and governance.
From 1000 Shanghai's careers page (Workday), checked 31 Oct 2026.
How to apply
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- Fill in the form and upload your résumé there. Jobiwork never sees your application.
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Posted 13 Oct 2026 · checked 31 Oct 2026 · Report this job