Technical Engineer AI

AkzoNobel is seeking a Technical Engineer AI in Pune, IND, to design, develop, deploy and continually improve enterprise-grade agentic AI and intelligent automation solutions. The role translates business needs into scalable AI products and services, with a focus on secure, observable and reliable systems built with Azure AI services, large language models, orchestration frameworks, RAG pipelines and enterprise integrations. It is a permanent position with a 40-hour workweek.

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.
• Lead and support delivery of AI workflows, reasoning agents, APIs, integrations, automation components and React.js interfaces. Follow architecture, security, governance, documentation, coding, testing and deployment standards; contribute to solution approvals and production readiness.
• Define and execute tests for autonomous systems, reasoning loops, safety guardrails and integrations. Support functional and business acceptance testing, and assess observability, traceability, model performance and human-in-the-loop controls.
• Monitor production AI systems for performance, reliability, security and compliance. Investigate hallucinations, orchestration and integration failures, and degraded model behavior; coordinate fixes and improve monitoring and automation.
• Contribute to planning, estimation, documentation, stakeholder communication and delivery under Agile, DevOps or waterfall methods. The role has no direct reports but may coordinate project contributors.

Qualifications and experience:

• 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 engineering and leadership-oriented profiles. 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.