AkzoNobel Off Campus Drive 2026 | Technical Engineer AI | Pune

1. Job Summary

The Technical Engineer – AI develops, implements, and maintains AI-driven applications, agentic platforms, and web services across AkzoNobel’s global IT network. Working within cross-functional digital teams, the engineer builds robust backend and frontend interfaces, integrates REST APIs, configures cloud services, and ensures high availability for enterprise AI workloads.

This individual contributor role works alongside data engineers, IT architects, security specialists, and project managers. While there are no direct reports, the engineer leads technical delivery components and guides business units on AI adoption.

2. Job Description

As a Technical Engineer – AI at AkzoNobel, your day-to-day work will center on building reliable AI systems and integrating them into core enterprise architectures.

Key Responsibilities

• AI Platform & Web Application Development: Build and maintain scalable enterprise AI applications using web technologies such as React.js, Node.js, Express.js, TypeScript, and Python.

• API & Systems Integration: Design, test, and deploy secure RESTful APIs to connect Large Language Models (LLMs), Agentic AI services, and custom algorithms with legacy ERP, CRM, and data systems.

• Cloud Infrastructure & Observability: Deploy AI services on Microsoft Azure (with secondary exposure to AWS/GCP). Monitor operational health, trace request performance, optimize latency, and lower system costs.

• DevOps & Continuous Improvement: Implement automated CI/CD pipelines, version control workflows (Git), and containerized deployments to ensure smooth delivery across development, staging, and production.

• Security & Governance: Apply identity access management (IAM), encryption, and compliance controls to safeguard corporate data across all AI services.

• Technical Documentation & Support: Maintain detailed architecture diagrams, write technical manuals, and provide tier-2/tier-3 support for deployed AI tools.

3. Eligibility Criteria

Who Should Apply?

Candidates who meet the following technical and professional requirements are encouraged to apply:

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Information Technology, Software Engineering, Artificial Intelligence, or Data Science.

• Experience Level: Open to candidates ranging from entry-level engineers with practical projects (0–1 years) to mid-level professionals (3–6+ years) looking for advanced technical responsibilities.

• Core Software Skills: Proficiency in JavaScript, TypeScript, Node.js, Express.js, React.js, and HTML5/CSS3.

• AI & Data Skills: Experience with Python for backend scripts, automation, REST API integration, and model invocation. Familiarity with AI architectures (e.g., retrieval-augmented generation, agentic workflows, LLM endpoints).

• Cloud & DevOps Knowledge: Practical exposure to Microsoft Azure cloud services, Git version control, CI/CD pipelines, and server operating environments (Linux/Windows).

• Problem-Solving Skills: Demonstrated ability to debug complex integrations, trace performance bottlenecks, and communicate solution designs to non-technical stakeholders.

Who May Not Be a Good Fit?

• Applicants seeking pure research roles without interest in practical application development or API integration.

• Candidates who prefer strictly hardware, network administration, or manual desktop support tasks.

• Professionals uncomfortable working in cross-functional, global matrix organizations.

4. What Should Be Highlighted in Your Resume?

To stand out during applicant screening, organize your resume to show measurable accomplishments and technical depth:

1. Production AI & Integration Projects: Highlight projects where you integrated AI services into web applications or business workflows. Mention specific tools, frameworks, and outcome metrics (e.g., reduced response times, automated manual steps).

2. Full-Stack & Cloud Architecture: Mention hands-on experience with Node.js, React, Python, and Microsoft Azure services. Specify how you built REST APIs, connected databases, or managed access credentials.

3. Software Engineering Fundamentals: Highlight knowledge of version control (Git), testing frameworks, CI/CD tools, and clean coding standards.

4. Collaboration & Communication: Showcase experience working alongside product owners, business analysts, or security teams to convert business needs into working code.

5. What Candidates Should Expect During the Recruitment Process

AkzoNobel follows a systematic evaluation process to match candidates with internal technical bands (ranging from foundational engineering to senior AI delivery specialist):

[ Application Submission ] 
            │
            ▼
[ Initial HR Screening ] ── (Resume, expectations & communication check)
            │
            ▼
[ Technical Assessment ] ── (Coding task, logic evaluation & system architecture)
            │
            ▼
[ Technical Panel Interview ] ── (Deep dive into APIs, Azure, Node.js/Python & AI integration)
            │
            ▼
[ Managerial & Culture Fit ] ── (Scenario analysis, stakeholder collaboration & agility)
            │
            ▼
[ Offer & Onboarding ]

6. About the Company

AkzoNobel N.V. is a Dutch multinational company that has manufactured high-quality paints and industrial coatings since 1792. Headquartered in Amsterdam, the company operates in over 150 countries with a global workforce of over 30,000 employees.

Its brand portfolio includes household names such as Dulux, International, Sikkens, Interpon, and Liquid Coatings. AkzoNobel prioritizes sustainable industrial solutions, pioneering low-carbon manufacturing processes, self-healing coatings, and AI-driven supply chains.

7. Why Join AkzoNobel?

• Real-World AI Impact: Work on enterprise software that directly affects manufacturing, color science, and global distribution logistics.

• Career Progression: Flexible career tracks spanning foundational developer roles to principal AI system architects across global office locations.

• Commitment to Sustainability: Help build modern software solutions that optimize resource usage and support sustainable manufacturing goals.

• Inclusive Work Culture: AkzoNobel maintains equal opportunity recruitment standards that welcome talent regardless of background, gender, or origin.

• Competitive Package: Comprehensive health insurance, professional development support, modern hybrid workspace options, and employee recognition programs.

8. Frequently Asked Questions (FAQ)

Q1: What is the primary work location for Requisition 56220?

The position is based out of AkzoNobel’s technology center in Pune, Maharashtra, India.

Q2: Is prior experience with Microsoft Azure mandatory?

Familiarity with Microsoft Azure is highly preferred. However, candidates with strong hands-on experience in AWS or Google Cloud Platform who understand fundamental cloud infrastructure can transition smoothly.

Q3: What programming languages are used most often in this role?

The daily stack relies heavily on JavaScript/TypeScript (Node.js, Express, React) for application interfaces and Python for backend scripting, data pipelines, and AI integrations.

Q4: Does this role require managing a team?

No, this is an individual contributor technical role. You will collaborate with cross-functional project teams, lead development tasks, and mentor junior colleagues without direct administrative management duties.

Important: Job availability, qualifications, shift timings, work location, work arrangement and selection procedures may change. Candidates should verify the latest information in the original job advertisement before applying.

How to Apply?

• Interested candidates meeting the eligibility criteria have to apply at the following link:

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