Senior Artificial Intelligence Engineer

Donaldson India Filter Systems; Gurugram District; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

High ownership environment

Professional growth

Global impact

Job summary

Donaldson India Filter Systems is seeking a Senior AI Engineer to lead end-to-end AI initiatives within the AI Center of Excellence. You will architect, develop, and deploy enterprise AI solutions that drive measurable business impact across the organization.

Collaborating with principal engineers, architects, and business partners, you will own design decisions, ensure production readiness, and develop reusable frameworks that accelerate AI adoption.

Qualifications

• Masters or Bachelors degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 4-6 years of relevant professional experience in AI, ML, data, or software engineering with hands-on AI deployment experience.
• Strong Python development skills and API, testing, and secure coding practices.
• Knowledge of GenAI architectures (LLMs, RAG, AI agents) and orchestration.

Responsibilities

• Lead the end-to-end delivery of AI and Generative AI solutions from discovery through deployment and support.
• Collaborate with stakeholders to identify opportunities, define requirements, and translate business challenges into AI solutions.
• Design scalable architectures using LLMs, RAG, AI agents, sources of knowledge, APIs, and cloud services.
• Develop and deploy production-grade AI applications and copilots using Python and enterprise technologies.
• Establish testing, monitoring, and governance practices for reliable, secure AI deployments.
• Build reusable frameworks, accelerators, and templates to speed AI delivery across the organization.
• Provide technical leadership through architecture reviews, code reviews, and mentoring.

Skills

Python development

ML/AI engineering

API development

Cloud services

LangChain

MLOps

Problem solving

Stakeholder mgmt

Education

Bachelors or Masters in CS/Engineering

Tools

Azure AI Foundry

Snowflake Cortex AI

LangGraph

Semantic Kernel

AutoGen

LlamaIndex

Job description

Job Purpose:

The AI Center of Excellence (AI CoE) is seeking a Senior AI Engineer to lead the design, development, and deployment of enterprise AI solutions that create measurable business impact across the organization.

This is a senior individual contributor role within the AI Center of Excellence (AI CoE) for an experienced engineer who thrives in ambiguity and enjoys turning complex business challenges into scalable AI solutions. You will work closely with Principal AI Engineers, enterprise architects, business stakeholders, and product teams to drive AI initiatives from concept through production.

As a key member of the AI CoE, you will lead end-to-end solution development, including architecture, development, integration, evaluation, deployment, governance, and operationalization of AI solutions. You will also help establish engineering best practices, reusable frameworks, and standards that accelerate AI adoption across the enterprise.

This role is ideal for a builder who enjoys ownership, technical leadership, and creating innovative solutions in a rapidly evolving AI landscape.

Key Responsibilities

• Lead the end-to-end delivery of AI and Generative AI solutions, taking ownership from business discovery and solution design through deployment and operational support.
• Work directly with business stakeholders to identify opportunities, define requirements, prioritize use cases, and translate business challenges into practical AI solutions.
• Design scalable solution architectures leveraging 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 enterprise technologies.
• Drive technical decisions across AI projects, evaluating architecture options, implementation approaches, trade‑offs, risks, and long‑term maintainability.
• Establish and implement testing, evaluation, and monitoring practices to ensure AI solutions are accurate, reliable, secure, and production ready.
• Collaborate with architects, data engineers, platform teams, security teams, and business partners to successfully integrate AI capabilities into enterprise systems and processes.
• Build reusable frameworks, accelerators, templates, and engineering standards that improve delivery speed and enable scalable AI adoption across the organization.
• Provide technical leadership through architecture reviews, design guidance, code reviews, technical coaching, and sharing best practices across the AI CoE.

• Continuously evaluate emerging AI technologies and recommend innovative solutions that deliver measurable business value and strategic advantage.

Education Qualification:

• Masters or Bachelors 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 with min 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 experience with software engineering principles including modular design, API development, testing, version control, secure coding practices, system integration, and maintainable application architecture.
• Strong understanding of modern Gen AI architectures including Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), AI agents, prompt engineering, evaluation frameworks, deterministic orchestration and AI solution architectures.
• Hands‑on experience with AI application and orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, LlamaIndex, or equivalent technologies.
• Proven ability to operate in ambiguous environments, independently drive technical solutions, and lead initiatives from concept through production deployment.

Preferred Qualifications:

• Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Copilot Studio, Snowflake Cortex AI, or other enterprise AI platforms.
• Experience designing and developing enterprise AI applications, copilots, intelligent assistants, automation solutions, or agent‑based systems deployed to business users.
• Experience with CI/CD, DevOps, MLOps, and LLMOps practices for enterprise AI solution deployment and support.
• Experience with containerization and cloud‑native development technologies such as Docker, Kubernetes, Azure Container Apps, or Azure Kubernetes Service (AKS).
• Experience building AI‑enabled applications and services using frameworks such as FastAPI, Flask, Streamlit, React, Next.js, .NET, or equivalent application development frameworks.
• Demonstrated experience leading the technical delivery of complex software, AI, or automation projects involving multiple stakeholders, systems, and business functions.
• Familiarity with enterprise governance controls for GenAI (privacy, safety, auditability).
• Experience optimizing inference costs/latency and implementing observability for AI features.

Professional Skills

• Strong analytical and problem‑solving abilities.
• Excellent communication and stakeholder management skills.
• Capacity to thrive in agile, fast‑paced environments.
• Collaborative approach and leadership potential.
• Commitment to continuous learning and skill development.
• Effective task prioritization and project management across multiple initiatives.

What We Offer

• Opportunity to develop and deploy enterprise‑scale AI solutions that impact business operations globally.
• Exposure to cutting‑edge technologies including Generative AI, AI Agents, Azure AI, Microsoft Copilot, and enterprise AI platforms.
• Collaboration with seasoned engineers, architects, and business leaders.
• Opportunity to influence AI standards, reusable frameworks, and best practices across the organization.
• A high‑ownership environment where engineers can shape solutions from concept to production.
• Professional growth within a rapidly expanding AI Center of Excellence.