OpenOpportunity Sourced Jobs — Bengaluru, Hyderabad
Full Time · On Site · Leadership
Role: Technical Architect | Department: Engineering - Software & QA | Industry: IT Services & Consulting | Education: UG: B.Tech / B.E. in Any Specialization; PG: M.Tech in Artificial Intelligence and Machine Learning, Computers About the Role We are hiring an AI Engineering Senior 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 Preferred Candidate Profile: • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field • 8+ years in software/AI engineering, including 3+ 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 Additional Requirements (as listed separately in the posting): • 7+ years of experience in software architecture or solutions design, with at least 2 years focused on building Generative AI solutions or agentic systems • Strong backend experience in Java/Golang/Node.js and Python as a must-have • Experience building front-end interfaces with React/Vue/Angular • Proven experience integrating AI or automation platforms with enterprise systems like SAP, Workday, Salesforce, and Azure • Deep understanding of AI agent orchestration frameworks, LLM-based workflows, and prompt engineering principles • Deep understanding of building RAG platforms, document embeddings, OCR text extraction, vector databases, vector search, reranking, evaluation, and observability • Hands-on experience with APIs, RESTful services, and event-driven architectures • Demonstrated experience leading small, agile, cross-functional teams across multiple geographies • Client-facing experience with proven ability to translate technical insights into business outcomes Good to Have: • Certifications in Azure AI, Salesforce Einstein, or SAP AI Core • MCP and tool integrations; certifications in AI/ML and Deep Learning; IaC tools • Solid understanding of AI governance, model risk, data privacy, and data security Note: This posting's opening "About the Role" paragraph and "Key Responsibilities" are the same PwC AI-Engineering-Manager template reused (with "Senior Manager" swapped in) from Jobs 1 and 3, but the rest of the content diverges into a distinct, more architecture-heavy set of requirements. There is also an internal experience-figure inconsistency within this single posting: the "Preferred Candidate Profile" states "8+ years... including 3+ years leading," while the separate, unlabeled "Additional Requirements" block immediately below it states "7+ years... with at least 2 years focused on" GenAI — two different minimum-experience figures for what should be the same role. Like Jobs 5 and 7, this listing's "About company" field is only a leftover recruiter sign-off ("Thanks & Regards, PwC - Bangalore Acceleration Center") rather than real company text. Originally posted on Naukri: https://www.naukri.com/job-listings-artificial-intelligence-engineer-senior-manager-pwc-hyderabad-bengaluru-12-to-20-years-230726035488
generative ai, React.js, Python, Langchain, Artificial Intelligence, LLM, Machine Learning, Technical Architecture, Langgraph, Node.js, Aiml, RAG, Microsoft Azure, ML