AI Agent Architect
- Luxoft
- 4 - 8 years
- Mumbai
- 17 days ago
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Job Description
We are seeking a hands-on and qualified AI Agent Architect to design and deploy advanced Agentic AI systemscomprising task-specific autonomous tools governed by a master agentto support complex technical decision-making in industrial environments.This is a high-impact individual contributor role for someone who can independently deliver full-stack intelligent agents that interpret natural language queries and generate precise, context-aware outputs by interacting with structured and unstructured data, APIs, and analytical engines.
- Architect and develop a multi-agent AI framework where autonomous agents coordinate to solve domain-specific technical queries.
- Leverage LLMs, NLP, and tool-based reasoning to automate data extraction, analysis, and insight generation.
- Build agents capable of integrating with engineering tools, simulators, databases, and knowledge sources.
- Collaborate with domain experts to align agent behavior with technical expectations and constraints.
- Implement safeguards to ensure accuracy, traceability, and reliability of AI-generated outputs.
- Continuously optimize prompting, agent orchestration, and performance under real-world conditions.
- business trip to Kuwait
Must have
- Demonstrated expertise in building Agentic AI architectures, using frameworks like LangChain, AutoGen, CrewAI, or custom stacks.
- Strong foundation in LLM-based NLP, prompt engineering, and context-aware reasoning.
- Advanced Python programming and experience deploying AI workflows in cloud or containerized environments.
- Ability to work with APIs, data models, and external toolchains across complex systems.
- Comfortable operating independently with minimal supervision in a cross-functional environment.
Nice to have
- Exposure to industrial domains such as energy, manufacturing, or heavy engineering.
- Understanding of vector databases, knowledge graphs, and retrieval-augmented generation.
- Familiarity with Azure or AWS development environments.
Certifications:
- Azure AI Engineer or Azure Data Engineer certification is a plus.
- AWS experience is nice to have, but not required.
Industry Experience:
- Oil and gas domain experience is a strong advantage, especially familiarity with digital operations or engineering workflows.
- However, candidates with relevant AI system-building experience in other complex industries are encouraged to apply.
Location - pune,mumbai,chennai,banagalore
Job Classification
Industry: LegalFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical ArchitectEmployement Type: Full timeContact Details:
Company: LuxoftLocation(s): Mumbai
Keyskills: Agentic AI architecture prompt engineering Azure NLP LLM AWS Python
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