Senior Manager

Price Waterhouse Coopers
Posted on
Price Waterhouse Coopers logo

Experience
10 - 17 yrs
Salary (CTC)
₹38.7L - ₹42.7L
Job Location
Bengaluru, India
Vacancy
2
Designation
Senior Manager
Job Type
ONSITE

Job Description

Role & responsibilities

  • Lead the design and development of full stack AI-integrated applications and microservices.
  • Oversee the implementation of agentic workflows, including agent-to-agent interactions and AI API integrations.
  • Manage cloud-native and on-prem deployments, including local LLM setups (HuggingFace, Ollama).
  • Develop and optimize RAG platforms, focusing on vector databases, embeddings, retrieval, prompting, and evaluation.
  • Ensure observability, telemetry, and optimization of AI applications.
  • Implement CI/CD pipelines, containerization, and orchestration using Docker,
  • Kubernetes, and serverless platforms (Azure Functions, AWS Lambda).
  • Design and manage event-driven architectures using Azure Service Bus, RabbitMQ, and Kafka.
  • Ensure best practices for RESTful API design, security, and documentation.
  • Collaborate with engineering, data science, and machine learning teams to drive project success.
  • Make architecture decisions, execute roadmaps, and maintain quality standards.


Preferred candidate profile


Qualifications:

  • 14+ years of experience in AI engineering or related fields.
  • Proven experience in application architecture and microservices.
  • Strong knowledge of agentic frameworks and AI API integrations.
  • Expertise in cloud and on-prem solutions, including local LLM setups.
  • Proficiency in RAG platforms and observability techniques.
  • Experience with CI/CD, containerization, and serverless platforms.
  • Knowledge of event-driven architectures and RESTful API design.
  • Excellent leadership and collaboration skills.
  • Strong problem-solving abilities and attention to detail.

Preferred Skills:

  • Experience with Azure, AWS, or GCP.
  • Familiarity with AI coding tools and frameworks.
  • Strong communication and interpersonal skills.
  • Knowledge of machine learning algorithms and techniques.
  • Understanding of data privacy and security regulations.
  • Proficiency in programming languages such as Python and Node.
  • Experience with DevOps practices and tools.
  • Ability to mentor and guide junior engineers.
  • Strong analytical and problem-solving skills

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