1 month ago
Gurgaon, IndiaMid Level / Senior

Responsibilities

  • Lead end-to-end delivery of AI and Generative AI solutions from business discovery and solution design through deployment and operational support.
  • Work with business stakeholders to identify opportunities, define requirements, prioritize use cases, and translate business challenges into AI solutions.
  • Design scalable architectures using LLMs, RAG, AI agents, enterprise knowledge sources, APIs, workflow automation, and cloud services.
  • Develop and deploy production-grade AI applications, services, and copilots using Python, Azure AI, Azure OpenAI, Snowflake, and related technologies.
  • Evaluate architecture options, implementation approaches, trade-offs, risks, and maintainability across AI projects.
  • Establish testing, evaluation, monitoring, security, and reliability practices for production AI solutions.
  • Collaborate with architects, data engineers, platform teams, security teams, and business partners to integrate AI into enterprise systems.
  • Build reusable frameworks, accelerators, templates, and engineering standards for scalable AI adoption.
  • Provide technical leadership through architecture reviews, design guidance, code reviews, coaching, and best-practice sharing.
  • Evaluate emerging AI technologies and recommend solutions that provide measurable business value.

Requirements

  • Bachelor’s or master’s degree in computer science, engineering, or a related field, or equivalent experience.
  • 4–6 years of relevant professional experience in AI, machine learning, data, or software engineering.
  • At least 1 year of hands-on experience designing, developing, and deploying AI, machine learning, or Generative AI solutions end to end.
  • Strong Python development skills and knowledge of modular design, API development, testing, version control, secure coding, system integration, and maintainable architecture.
  • Strong understanding of LLMs, RAG, AI agents, prompt engineering, evaluation frameworks, deterministic orchestration, and Generative AI solution architecture.
  • Hands-on experience with AI application and orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or LlamaIndex, or equivalent technologies.
  • Ability to work in ambiguity, independently drive technical solutions, and lead initiatives through production deployment.
  • Preferred experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Copilot Studio, Snowflake Cortex AI, or other enterprise AI platforms.
  • Preferred experience building enterprise AI applications, copilots, intelligent assistants, automation solutions, or agent-based systems.
  • Preferred experience with CI/CD, DevOps, MLOps, and LLMOps practices.
  • Preferred experience with Docker, Kubernetes, Azure Container Apps, or Azure Kubernetes Service.
  • Preferred experience with FastAPI, Flask, Streamlit, React, Next.js, .NET, or equivalent application frameworks.
  • Experience leading complex software, AI, or automation projects involving multiple stakeholders, systems, and business functions is preferred.
  • Familiarity with privacy, safety, auditability, inference cost and latency optimization, and observability for enterprise AI is preferred.
  • Strong analytical, problem-solving, communication, stakeholder management, collaboration, prioritization, and continuous-learning skills are preferred.

Tech Stack

DockerFastAPIFlaskKubernetes.NETNext.jsPythonReactSnowflake

Categories

Donaldson Company, Inc.

About Donaldson Company, Inc.

5,001-10,000 employees

Donaldson Company, Inc. designs and manufactures filtration systems and replacement filters for engines, industrial dust collection, process fluids, and gas turbines, serving OEMs and end users in manufacturing, transportation, food and beverage, and power generation. The company sells both original equipment and aftermarket parts worldwide, providing recurring replacement media. Founded in 1915 and headquartered in Bloomington, Minnesota, Donaldson is a public company traded on the NYSE with operations across six continents.

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