OpenOpportunity Sourced Jobs — Bengaluru, Hyderabad
Full Time · Hybrid · Leadership
Role: Engineering Manager | Department: Engineering - Software & QA | Industry: Financial Services | Education: UG: B.Sc in Artificial Intelligence and Machine Learning, B.Tech / B.E. in Any Specialization; PG: M.Tech in Artificial Intelligence and Machine Learning About the Role We are hiring an AI Engineering Manager to lead a team of full-stack AI engineers delivering GenAI-powered agents and applications built on React and Python (FastAPI). You will own technical architecture and delivery, grow and manage the team, and partner with product and business stakeholders to set direction for automation across HR, Payroll, SAP, and Client Delivery. This is a hands-on leadership role — you will still review designs and guide complex technical decisions, but your primary leverage is through your team. Key Responsibilities: • Lead, mentor, and grow a team of full-stack AI engineers; own hiring, onboarding, performance management, and career development • Own the technical architecture for agent platforms spanning React front-ends, Python/FastAPI services, and LLM orchestration layers • Drive delivery planning, prioritization, estimation, and execution across multiple workstreams • Set and uphold engineering standards for code quality, testing, security, observability, and deployment • Partner with Product Managers, SMEs, and business leaders to shape the roadmap and turn business processes into an agentic automation strategy • Make build-vs-buy and framework decisions (LangChain, LangGraph, CrewAI, etc.) and guide RAG, multi-agent, and integration patterns • Ensure scalable, secure, and reliable systems integrating with enterprise platforms (Workday, SAP, Salesforce) • Remove blockers, manage technical risk and debt, and report progress and outcomes to leadership • Stay hands-on enough to review architecture and code and to guide the hardest technical decisions • 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 Qualifications: • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field • 12+ years in software/AI engineering, including 4+ years leading or managing engineering teams • Proven delivery of production full-stack systems (React + Python) and AI/ML or GenAI solutions • Strong architectural judgment across front-end, back-end, and LLM/agent orchestration • Deep familiarity with agentic frameworks (LangChain, LangGraph, CrewAI, ReAct) and LLM orchestration • Experience with enterprise integrations, distributed systems, cloud (Azure / AWS / GCP), containers/Kubernetes, and security best practices • A track record of hiring, mentoring, and growing high-performing engineering teams • Excellent stakeholder management and communication skills Nice to Have: • Experience scaling GenAI / agent platforms in production • Background in enterprise-scale business process or workflow automation • Open-source leadership or active community contributions • Experience defining MLOps / LLMOps and observability practices Note: This posting shares an identical "About the Role" paragraph and near-identical "Key Responsibilities"/"Qualifications" bullets with Job 1 in this sheet (also PwC, "AI Engineer - Manager"), differing mainly in seniority-scaled numbers (4+ years managing vs. 2+ years, 12+ years vs. 8+ years) — this listing then appends a large extra block of full-stack/agentic-architecture responsibilities not present in Job 1. Job 5 in this sheet reuses this listing's Qualifications bullets verbatim in a much shorter posting. This listing is tagged Industry Type "Financial Services," consistent with Job 1, while three other PwC postings in this batch (Jobs 5, 7, 8) are tagged "IT Services & Consulting" instead. Originally posted on Naukri: https://www.naukri.com/job-listings-artificial-intelligence-engineer-senior-manager-pwc-hyderabad-bengaluru-12-to-19-years-280726031059
Gen Ai, Artificial Intelligence, React.Js, Machine Learning, Python, Generative Ai, Node.Js, Generative Artificial Intelligence, Ml