Technical Engineer AI

AkzoNobel seeks a Technical Engineer AI in Pune, India, 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 using Azure AI platforms, large language models, orchestration frameworks and modern application technologies. 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 stakeholders, architects and delivery teams to align solutions with enterprise priorities.
• Develop and review reasoning agents, AI workflows, RAG pipelines, APIs, enterprise integrations, automation components and React.js interfaces. Support end-to-end delivery, solution approvals and production readiness while following architecture, security, governance, documentation, coding and deployment standards.
• Define and execute tests for autonomous systems, reasoning loops, safety guardrails and integrations. Support functional and business acceptance testing; evaluate model performance, observability, traceability and human-in-the-loop controls.
• Monitor production solutions for reliability, security, performance and compliance. Investigate hallucinations, orchestration and integration failures, and degraded model behavior; coordinate fixes and improve monitoring and automation. Contribute to planning, estimation, documentation and delivery in Agile, DevOps or waterfall projects.

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.
• Professional experience varies by MM1–MM3 maturity level: 0–1 years for entry-level profiles through 6+ years for advanced or leadership-oriented profiles. Expectations 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 delivery is sought.