Straive
Artificial Intelligence Architect
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Chennai, Tamil Nadu, India
Work mode:
Onsite
Published on:
23 September 2026
What they need
We are looking for an experienced AI Architect with 12- 15 years of software engineering experience and a strong background in designing, developing, and delivering enterprise-scale AI solutions. The ideal candidate will have extensive experience leading engineering teams while architecting AI-powered platforms involving Generative AI, RAG (Retrieval-Augmented Generation), Lang Chain/Lang Graph, Agentic AI, OCR/Document AI, Knowledge Graphs, and Intelligent Automation.
Key Responsibilities :
- AI Solution Architecture
- Design scalable AI solutions using modern LLM architectures.
- Architect Retrieval-Augmented Generation (RAG) platforms.
- Design multi-agent AI systems using LangGraph or similar orchestration frameworks.
- Define enterprise AI reference architectures.
- Build AI-first products for document processing, knowledge management, search, and workflow automation.
- Lead technical discussions with stakeholders and clients.
Technical Leadership :
- Lead a team of AI Engineers, Software Developers, ML Engineers, and Data Engineers.
- Perform architecture reviews and code reviews.
- Establish engineering standards and best practices.
- Mentor senior and junior engineers.
- Drive Agile engineering practices.
- Own technical roadmap and delivery milestones.
People Leadership :
- Manage a team of 8-20 engineers.
- Mentor Technical Leads and Senior Developers.
- Conduct technical interviews.
- Own engineering excellence.
- Define coding standards.
- Drive innovation initiatives.
- Collaborate with Product, QA, DevOps, and Business teams.
- Manage project planning, risk mitigation, and stakeholder communication.
Soft Skills :
- Excellent leadership and mentoring abilities.
- Strong communication and stakeholder management skills.
- Strategic thinking with a delivery-oriented mindset.
- Strong problem-solving and analytical capabilities.
- Ability to lead cross-functional and geographically distributed teams.
- Customer-facing consulting and solution presentation experience.
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