Senior AI Engineer

DIFS Donaldson India Filter Systems Pvt Ltd; Gurgaon; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Donaldson’s AI Center of Excellence seeks a Senior AI Engineer to lead design, development, and deployment of enterprise AI solutions. You will work with Principal AI Engineers, architects, business stakeholders, and product teams to drive AI initiatives from concept through production.

You will steer end-to-end solution development, establish governance, and build reusable frameworks to accelerate AI adoption across the enterprise.

Qualifications

• Master’s or Bachelor’s degree in Computer Science, Engineering, or a related field.
• 4-6 years of AI/ML or software engineering experience with at least 1 year designing, developing, and deploying AI/GenAI solutions end-to-end.
• Strong Python development skills including API design, testing, and secure coding principles.
• Solid understanding of GenAI architectures (LLMs, RAG, AI agents, prompt engineering).
• Hands-on experience with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, LlamaIndex, or equivalent.
• Proven ability to operate in ambiguous environments and lead technical solutions end-to-end.

Responsibilities

• Lead end-to-end AI/Generative AI solution delivery from discovery to deployment and support.
• Collaborate with stakeholders to identify opportunities, define requirements, and translate challenges into AI solutions.
• Design scalable architectures using LLMs, RAG, AI agents, and cloud services.
• Develop and deploy production-grade AI applications and copilots using enterprise tech.
• Establish testing, evaluation, and monitoring practices for production-ready AI solutions.
• Collaborate with architects and engineers to integrate AI into enterprise systems.
• Create reusable frameworks, accelerators, and standards to speed AI delivery.

Skills

Python development

Gen AI architectures

Ambiguity handling

Stakeholder management

Education

Master’s or Bachelor’s degree in Computer Science/Engineering

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

CrewAI

LlamaIndex

Azure AI

Snowflake

Job description

Donaldson is committed to solving the world’s most complex filtration challenges. Together, we make cool things. As an established technology and innovation leader, we are continuously evolving to meet the filtration needs of our changing world. Join a culture of collaboration and innovation that matters and a chance to learn, effect change, and make meaningful contributions at work and in communities.

About the Role:

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.

Minimum Qualifications

• Master’s or Bachelor’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 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.

Employment opportunities for positions in the United States may require use of information which is subject to the export control regulations of the United States. Hiring decisions for such positions are required by law to be made in compliance with these regulations. Applicants for employment opportunities in other countries must be able to meet the comparable export control requirements of that country and of the United States.

Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law.

Donaldson Company helps solve some of the world's most complex filtration and contamination control challenges, and is one of the largest global providers of unique filtration technologies and high-quality filters and parts. Our filtration technologies and products are used every day, in a variety of industries and environments, including aerospace, agriculture, construction, food and beverage, manufacturing, mining, power generation, transportation and many more. Key to our success, our 14,000 employees support customers at sales, manufacturing and distribution centers from over 140 locations on six continents. The filtration market continues to grow. Customers' needs for filtration solutions continue to evolve. And the opportunities for our products and our people continue to expand.

Learn more at www.donaldson.com.