Senior Manager, AI Engineering

⬥ 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 designing scalable microservices, REST APIs, event-driven architectures, and cloud-native AI applications.

⬥ Expertise with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI workloads.⬥ Experience building AI platforms leveraging services such as Kubernetes, Docker, serverless technologies, model hosting platforms, and GPU-enabled infrastructure.

⬥ Practical experience with MLOps practices including model deployment, versioning, monitoring, experimentation, evaluation, and continuous improvement.

⬥ Strong knowledge of SQL, NoSQL databases, vector databases, caching strategies, and performance optimization for AI workloads.

⬥ Understanding of AI governance, model security, privacy, responsible AI, and enterprise AI architecture.

⬥ Ability to evaluate technical trade-offs balancing accuracy, latency, scalability, security, cost, and business value.

Leadership Experience

⬥ Proven experience leading AI engineering or software engineering teams within a product organization.

⬥ Demonstrated ability to recruit, mentor, and retain high-performing engineering talent.

⬥ Experience managing multiple engineering initiatives while maintaining technical excellence and delivery predictability.

⬥ Strong track record of driving engineering transformation and adoption of emerging AI technologies.

Product Mindset

⬥ Deep understanding of the end-to-end AI product lifecycle from ideation, experimentation, and validation through production deployment and continuous optimization.

⬥ Experience working cross-functionally with Product Management, Data Science, Design, and Customer Success teams to deliver customer-centric AI solutions.

⬥ Ability to prioritize engineering investments based on measurable customer and business impact.

Operational Skills

⬥ Strong experience with Agile methodologies, sprint planning, engineering execution, and resource management.

⬥ Hands-on knowledge of DevOps, MLOps, CI/CD pipelines, Infrastructure as Code, cloud automation, and AI observability.

⬥ Experience establishing engineering KPIs, operational metrics, and delivery governance for AI products and platforms.

Communication

⬥ Excellent written and verbal communication skills with the ability to communicate complex AI concepts to technical and non-technical audiences.

⬥ Ability to influence senior leadership through technical vision, data-driven decision making, and strategic execution.

Preferred Qualifications

⬥ Experience delivering enterprise-scale Generative AI products in production.

⬥ Familiarity with foundation models from OpenAI, Anthropic, Google, Meta, or open-source ecosystems.

⬥ Experience with vector databases such as Pinecone, Weaviate, Milvus, pgvector, or similar technologies.

⬥ Exposure to AI evaluation frameworks, LLMOps, AI safety, and responsible AI practices.

⬥ Experience leading platform engineering initiatives supporting AI at scale.

⬥ Master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field is preferred.

Why Join Us?

Innovative Environment
⬥ Be part of an organization building next-generation AI-powered products that redefine customer experiences.

Career Growth
⬥ Lead strategic AI engineering initiatives with opportunities to shape technology direction and organizational capability.

Collaborative Culture
⬥ Work alongside world-class engineers, data scientists, product leaders, and AI practitioners committed to delivering exceptional products.

Core Values
⬥ Join a company that lives by the values of shattering boundaries, sparking greatness, and sharing success in everything we do.

#LI-Onsite

Client-provided location(s): Hyderabad, India

Job ID: CornerstoneOnDemand-req11344

Employment Type: OTHER

Posted: 2026-07-11T19:57:34