Job Description
The Principal Engineer, AI Applications Integration is a senior technical leadership role responsible for defining and driving enterprise AI architecture, strategy, and large-scale deployment of intelligent systems. This role leads the design of advanced AI ecosystems, including LLM-powered applications, agentic workflows, and RAG frameworks, enabling enterprise-wide transformation, automation, and decision intelligence.
nThe Principal Engineer acts as a thought leader, influencing cross-functional leaders, mentoring engineering teams, and ensuring AI solutions are scalable, secure, and aligned to business outcomes.
nKey Responsibilities:
nStrategic AI Leadership:
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- Define and drive enterprise AI strategy focused on scalable, production-grade AI systems.n
- Lead architecture design for AI platforms leveraging LLMs, RAG pipelines, and agentic systems.n
- Partner with executive and business leaders to align AI initiatives with long-term transformation goals. (Engineer_A...ration_NEW | Word) n

nAI Architecture & Solution Design:
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- Architect end-to-end AI solutions integrating LLM APIs, orchestration frameworks (LangChain, LlamaIndex), and vector databases.n
- Establish design standards, frameworks, and reusable components for AI development.n
- Ensure systems are robust, secure, highly available, and optimized for performance at scale.n

nEnterprise Integration & Delivery:
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- Oversee integration of AI solutions into enterprise systems and workflows.n
- Drive adoption of AI-powered automation across business functions.n
- Lead complex, high-impact AI initiatives spanning multiple teams and geographies.n

nTechnical Leadership & Mentorship:
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- Provide technical leadership and mentorship to engineers, guiding best practices in AI/ML development.n
- Drive engineering excellence through code quality, design reviews, and innovation.n
- Build organizational capability in emerging AI technologies and platforms.n

📌 Principal Engineer, AI (Hyderabad)
🏢 TMUS Global Solutions
📍 Hyderabad