AI Engineer Advisor
NTT Ltd. (company site, opens in a new tab)7–10 yrsNoidaOn-siteDirect career pageEst. 22–38 LPA
Posted 22h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy AI agents and multi-agent workflows for enterprise applications using frameworks like LangChain, LangGraph, CrewAI, or AutoGen.
- Integrate AI solutions with enterprise systems via REST APIs, SDKs, tool/function calling, and orchestrate retrieval-augmented generation (RAG) pipelines including document ingestion, embeddings, and vector databases.
- Lead AI projects end-to-end including mentoring junior engineers, ensuring quality delivery, evaluating AI solution performance, and presenting to senior management and stakeholders.
Minimum Requirements
- 7+ years of overall experience in software engineering, data engineering or ML engineering, with at least 3 years of hands-on AI/GenAI experience.
- Proficient coding skills in Python (C# acceptable alongside Python).
- Experience building AI agents using frameworks such as LangChain, LangGraph, CrewAI, AutoGen or Semantic Kernel.
- Working knowledge of at least one cloud platform (Azure, AWS or GCP), AI services, Docker, Git, and CI/CD pipelines.
Ideal Candidate Profile
- Experienced in integrating AI agents with enterprise-scale systems and working with large language models (OpenAI, Anthropic, Google, Azure OpenAI).
- Capability to lead and deliver AI projects with cross-functional teams, including client-facing roles, pre-sales, and proofs of concept.
- Familiarity with prompt engineering, RAG pipelines, vector databases, and AI monitoring/evaluation tools enabling operational and responsible AI deployments.