Technical Engineer AI

AkzoNobel is hiring a Technical Engineer AI in Pune, IND, to design, develop, deploy and optimize enterprise-grade agentic AI and intelligent automation solutions. The role translates business needs into scalable AI products and services, with an emphasis on secure, observable and reliable systems. It is a permanent position with a stated schedule of 40 hours per week.

Responsibilities

• Turn business objectives and process requirements into functional and technical designs, user stories, acceptance criteria and implementation plans. Work with business teams, architects and delivery stakeholders to align solutions with enterprise priorities.
• Develop and review reasoning agents, AI workflows, RAG pipelines, enterprise integrations, automation components and React.js interfaces using Azure-native AI services, orchestration frameworks and APIs. Follow enterprise architecture, security, governance, documentation, coding, testing and deployment standards; support solution approvals and production readiness.
• Define and execute tests for autonomous systems, reasoning loops, safety guardrails and integrations. Support functional and business acceptance testing, model-quality evaluation, observability and traceability checks, and human-in-the-loop controls.
• Monitor production systems for performance, security, reliability and compliance. Investigate hallucinations, orchestration and integration failures, and degraded model behavior; coordinate fixes and improve monitoring dashboards and processes.
• Support planning, estimation, documentation and delivery under Agile, DevOps or waterfall approaches. The role reports to an IT Team Lead or Domain Lead, has no direct or indirect reports, and may coordinate project contributors.

Qualifications

• A bachelor’s or master’s degree in Computer Science, Information Technology, Artificial Intelligence, Software Engineering, Data Science or a related discipline. Experience expectations vary by MM1–MM3 maturity level: 0–1 years for entry-level profiles through 6+ years for advanced or leadership-oriented levels.
• Strong Python, AI application engineering and enterprise integration expertise; working knowledge of React.js, Node.js, REST APIs, Azure AI Foundry, Azure OpenAI, Azure AI Agent Service, Semantic Kernel, RAG, vector databases and cloud-native development. Experience with CI/CD, MLOps, model monitoring, observability, automated testing, DevOps and Agile practices. Capability expectations progress from supporting development and issue resolution to leading complex initiatives, mentoring engineers and contributing to AI governance and safety standards.