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Niche agentic AI and enterprise M&S integrations reduce candidate pool despite Hyderabad metro location.
Requires manufacturing MES/ERP and regulated (GxP) expertise, limiting cross-industry transferability.
Requires deep MLOps, ERP/MES integrations and GxP-regulated experience, significantly narrowing eligible candidates.
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Design, build, integrate, and operate AI agents within Manufacturing & Supply core systems (MES, QMS, ERP), enabling execution of tasks and transactions.
Own full lifecycle of AI agents from proof-of-concept through production deployment, monitoring, and continuous improvement with measurable business impact.
Collaborate closely with Supply Chain, Manufacturing, and Quality teams in an embedded Forward Deployed Engineer role to deliver operational AI solutions.
Strong hands-on software and AI engineering skills, including Python and production-ready development practices.
Experience designing and deploying LLM-powered and agentic AI solutions with system integrations via APIs, especially with MES, QMS, ERP (SAP), and manufacturing or supply chain data.
Experience operationalizing AI models/agents with MLOps or AgentOps tools and CI/CD pipelines, plus familiarity with cloud environments (Azure, AWS, GCP).
Degree in Computer Science, Engineering, Data Science, or related quantitative field; relevant work experience years not explicitly mentioned but hands-on AI/software production deployment required.
Technically skilled engineer able to deliver production-grade AI workflows embedded in complex regulated manufacturing and supply chain systems.
Experienced in Forward Deployed Engineering, working directly with business stakeholders to translate needs into live AI solutions that automate operations.
Familiar with regulated, GxP-compliant environments in life sciences or manufacturing and able to build robust, safe, auditable autonomous AI agents.