Senior Solution Architect (AI / LLM solutions)
ZF Friedrichshafen AG (company site, opens in a new tab)10+ yrsHyderabadOn-siteDirect career pageEst. 30–55 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Own the technical architecture and delivery of enterprise-grade Generative AI and Agentic AI solutions from business problem framing to secure, cost-efficient production systems.
- Lead architecture decisions including build vs buy, model selection, customization (fine-tuning), while balancing quality, cost, scalability and compliance.
- Define reference architectures, platform patterns, and guardrails for multiple global engineering teams, acting as a trusted technical authority for leadership and security teams.
Minimum Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, AI, or related fields.
- 10+ years in software, data, or ML engineering including at least 3 years as a solution or lead architect.
- Delivered at least 2–3 enterprise LLM / Generative AI production solutions with end-to-end architecture ownership.
- Proficiency in Python, API engineering, cloud architecture (AWS, Azure, or GCP), LLM fundamentals, Agentic AI frameworks (LangGraph, LangChain, AWS Bedrock Agents, Azure AI Foundry), vector databases, AI security, and observability.
Ideal Candidate Profile
- Experienced architect with proven track record delivering production-grade Generative AI and Agentic AI solutions in complex enterprise environments with strict security and compliance needs.
- Strong hands-on skills in Agentic AI system design including tool use, state management and human-in-the-loop controls using code-first or managed AI platforms.
- Strategic thinker with ability to influence cross-functional teams and leadership on AI architecture decisions balancing cost, vendor independence, quality and scalability.