AI Architect/ Tech Lead
Zensar Technologies · Hyderabad · hybrid · Posted 19d ago
Undisclosed10–18 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
- Design and implement multiagent orchestration frameworks for autonomous negotiation, task delegation, and state management.
- Architect and develop scalable Model Context Protocol (MCP) servers and clients for secure LLM integration with data sources and enterprise tools.
- Define the architectural vision for Zensar's internal AI platform, ensuring high throughput, low latency, and seamless developer workflows.
- Write productionready code, build prototypes, and establish engineering best practices for AI application development.
- Standardize architectural patterns across the organization and author comprehensive RFCs.
- Mentor junior engineers and foster a culture of technical excellence.
- Collaborate with product, security, and operations teams to align AI solutions with business goals.
- Evaluate and integrate emerging AI SDKs, vector databases, and RAG pipelines.
- Drive performance tuning, scalability testing, and reliability engineering for AI services.
- Communicate complex technical concepts clearly to both technical and nontechnical stakeholders
- 10+ years of software architecture experience, with at least 3 years building productiongrade LLM applications.
- Deep expertise in multiagent frameworks such as LangGraph, AutoGen, or CrewAI.
- Proven experience designing or implementing Model Context Protocol (MCP) or similar contextsharing protocols.
- Strong command of Python, TypeScript, or Go and cloudnative technologies (AWS/GCP/Azure, Kubernetes, Docker).
- Handson experience with prompt engineering, RetrievalAugmented Generation (RAG) pipelines, and vector databases.
- Demonstrated ability to produce highquality, productionready code and prototypes.
- Outstanding verbal and written communication skills, with a track record of leading technical discussions.
- Experience authoring architecture RFCs and establishing engineering standards.
- Ability to translate complex AI concepts into actionable solutions for business stakeholders.
- Bachelors or higher degree in Computer Science, Engineering, or a related field.
Sourced from naukri
Skills
AimlRetrieval Augmented GenerationPrompt EngineeringAi ArchitectLarge Language Models (LLMs)tech leadPythonGenAI DevelopmentLanggraph
About Zensar Technologies
Zensar Technologies
IT Services & Consulting
10.0k+
employees
2001
25 years old
Pune, Maharashtra
India
About
Zensar is a global organization that conceptualizes, builds, and manages digital products through experience design, data engineering, and advanced analytics for leading companies.
Industries
IT Services & Consulting
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