Technical Engineer AI

AkzoNobel seeks a Technical Engineer AI in Pune, IND, to design, develop, deploy and improve enterprise-grade agentic AI and intelligent automation solutions across global business environments. The role translates business needs into scalable AI products using Azure AI services, large language models, orchestration frameworks, RAG pipelines, vector databases and enterprise integrations. It is a permanent, 40-hour-per-week position reporting to an IT Team Lead or Domain Lead, with no direct or indirect reports.

Responsibilities

• Turn business objectives and process requirements into functional and technical designs, user stories, acceptance criteria and implementation plans; collaborate with business stakeholders, architects and delivery teams.
• Develop and review AI workflows, reasoning agents, APIs, integrations, automation components and React.js interfaces. Support end-to-end delivery, solution approvals and production readiness while following architecture, security, governance, documentation and coding standards.
• Define and execute tests for autonomous systems, reasoning loops, safety guardrails and integrations. Support functional and business acceptance testing; assess observability, traceability, model performance and human-in-the-loop controls.
• Monitor production environments for reliability, performance, security and compliance. Investigate hallucinations, orchestration and integration failures, and degraded model behavior; coordinate fixes and improve monitoring dashboards.
• Contribute to planning, estimation, documentation, stakeholder communication and continuous improvement under Agile, DevOps or waterfall delivery models.

Qualifications and experience:

• 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 engineering profiles through 6+ years for advanced engineering and leadership-oriented levels. Responsibilities progress from supporting development and issue resolution to leading complex initiatives, mentoring engineers and contributing to governance and safety standards.
• 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 is expected.