Job Description This is a remote position. Manning Global, an Internationally renowned staffing and managed services organization specializing in providing staffing solutions for leading corporations in AI, IT & Telecoms, Engineering, Digital Media, Automotive and Renewable Energy is recruiting for Subject Matter Expert - AI Solution Architecture on behalf of one of their blue-chip international clients to join their organization in India. Job Title: Subject Matter Expert - AI Solution Architecture Employment: Full time Start Date: September/2026 Country: India – Remote, Bangalore Salary range: TBD Contact: Ashwini Chawan on: +49 (0) 89 23 88 98 35 Key Responsibilities We are looking for a Subject Matter Expert in AI solution architecture to lead the design of agentic AI solutions for enterprise clients, including clients in regulated industries such as banking, insurance, telecom, and healthcare. You will own architecture quality across engagements: how data, knowledge, models, and agents fit together; how solutions meet security and compliance requirements; and the standards and reusable designs the delivery team builds against. Architect end-to-end agentic AI solutions across the platform´s four layers, from data access through knowledge, models, and agent orchestration. Lead the design of multi-agent orchestration, RAG pipelines, knowledge graphs, and the LLM / SLM selection and fine-tuning strategy for each engagement. Define governance and guardrail designs: model access control, policy enforcement, evidence management, and audit trails for AI decisions. Ensure solutions meet enterprise security, data protection, and compliance requirements (for example GDPR, the EU AI Act, SOC 2, and HIPAA where relevant). Set and review engineering standards across deployments: architecture reviews, reference designs, and reusable asset libraries. Act as the principal AI solution design partner to senior client stakeholders. Mentor forward deployed engineers and delivery consultants on complex engagements. Experience/Qualifications: Extensive experience architecting AI, data, or platform solutions that run in production in large enterprises. Mastery of AI solution architecture: multi-agent systems, RAG, LLM / SLM integration, evaluation frameworks, and enterprise integration patterns. Strong grasp of AI governance, security, and compliance in regulated industries. Hands-on depth in Python and SQL and at least one modern application stack; able to review and guide real implementations, not only draw diagrams. Experience with enterprise data platforms (Snowflake, Databricks) and contact-centre or CRM integration is an advantage. Strong consulting and stakeholder-management skills at executive level.
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