Senior Manager, AI Engineering

We’re looking for a **Senior Manager, AI Engineering** This role is Office Based, Hyderabad Office Job Description Job Title : Senior Manager – AI Engineering

Location : Hyderabad

Years of Experience : 10+ years in software engineering and AI/ML development, with 4+ years in engineering leadership or management roles.

Position Overview We are seeking an experienced and visionary Senior Manager – AI Engineering to lead high-performing AI engineering teams responsible for building, deploying, and scaling AI-powered products and platforms. This leader will drive the engineering execution of Generative AI, LLM-based applications, AI platforms, intelligent automation, and machine learning solutions that directly power customer experiences and business outcomes.

The ideal candidate combines strong engineering fundamentals with hands-on expertise in modern AI technologies, cloud-native architectures, and large-scale distributed systems. They should have proven experience building production-grade AI solutions while developing high-performing engineering teams in a product-driven organization.

In this role you will… Team Leadership and Development ⬥ Lead, mentor, and grow a team of AI engineers, machine learning engineers, and software engineers.

⬥ Foster a culture of innovation, experimentation, engineering excellence, and continuous learning.

⬥ Build organizational capability in Generative AI, LLM engineering, AI platforms, and modern software engineering practices.

⬥ Drive technical leadership, career development, and succession planning across the organization.

AI Engineering & Technical Leadership ⬥ Drive the architecture, design, and development of scalable AI-powered products using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and machine learning solutions.

⬥ Lead engineering efforts across Python, cloud-native technologies, APIs, vector databases, orchestration frameworks, and distributed systems.

⬥ Define AI engineering standards, reusable frameworks, governance, and best practices for secure and reliable AI application development.

⬥ Conduct architecture, design, and code reviews to ensure quality, scalability, maintainability, and security.

Product Delivery ⬥ Partner closely with Product Management, Data Science, UX, and Platform Engineering teams to define AI product roadmaps and technical strategy.

⬥ Translate business opportunities into scalable AI capabilities and production-ready solutions. ⬥ Lead sprint planning, technical execution, prioritization, and resource allocation to deliver high-quality AI products on schedule.

⬥ Drive rapid experimentation while ensuring production readiness and long-term maintainability.

AI Platform & Operational Excellence ⬥ Build and scale enterprise AI platforms supporting model serving, prompt management, RAG pipelines, AI observability, evaluation frameworks, and MLOps.

⬥ Implement engineering best practices including CI/CD, Infrastructure as Code, automated testing, monitoring, and AI model lifecycle management.

⬥ Ensure AI systems are secure, reliable, scalable, cost-efficient, and compliant with responsible AI principles.

⬥ Establish engineering metrics around model quality, latency, cost optimization, reliability, and customer impact.

Stakeholder Engagement ⬥ Serve as the bridge between engineering leadership, product teams, executive stakeholders, and business partners.

⬥ Communicate technical strategy, architecture decisions, delivery progress, risks, and business outcomes.

⬥ Influence AI adoption across the organization by aligning engineering initiatives with strategic business priorities.

You’ve Got What It Takes If You Have… AI & Technical Expertise ⬥ Strong hands-on experience developing production-grade AI applications using Java, Python and modern AI frameworks.

⬥ Deep expertise with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), prompt engineering, AI agents, embeddings, and vector databases.

⬥ Experience integrating commercial and open-source foundation models through APIs and model serving platforms.

⬥ Strong understanding of AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar technologies.

⬥ Experience desig…