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Gen AI-Engineering Manager II-DFO&I-Customer

at Deloitte

Unknown Manager Posted 2026-05-30

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About this role

#DFO&I2027 Customer     The Customer Team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, GenAI, transformative technologies, and creative design. We enable Deloitte client service teams to enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital product and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects, balancing business strategy, technology, creativity, and ongoing managed services to help solve the biggest problems that impact customers, partners, constituents, and the workforce. We also offer Business Process as a Service, enabling organizations to streamline operations and achieve greater efficiency through scalable, technology-enabled managed insights that guide ongoing transformation and operational excellence.   Position Summary     Level:  Engineering Manager II or equivalent     As a Manager at Deloitte Consulting, you will design, develop, and deploy enterprise-scale software solutions, lead the creation of robust pipelines and manage code deployment across environments. You will collaborate with cross-functional, global teams to translate functional requirements into effective deliverables, independently guiding and mentoring junior team members. Your role spans the full project lifecycle, including estimation, planning, execution, and tracking key metrics for analysis, ensuring high-quality and timely delivery of solutions.     Work you’ll do:     The team:     Our Digital Foundry Operate & Innovations (DFO&I) team partners with organizations to rapidly design, build, and scale digital products and experiences that drive business growth and elevate customer engagement. As a multidisciplinary group of strategists, designers, engineers, and operations specialists, we deliver end-to-end solutions—from initial concept and agile development to ongoing digital operations—enabling clients to experiment, iterate, and scale digital initiatives with confidence and agility. We support clients across domains such as strategy, commerce, marketing, sales, and service, helping them realize their digital ambitions through flexible, scalable teams. Our expertise spans the full digital lifecycle, including customer research, experience design, platform development, content production, and marketing automation. By bridging the gap between strategy and execution, we empower organizations to achieve measurable outcomes and deliver exceptional customer experiences in an ever-evolving digital landscape.       Qualifications     Must Have Skills/Project Experience/Certifications:   . A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. Excellent software engineering foundation with deep understanding of OOP/OOD, sequence/activity/state/ER/DFD diagrams, data-structure, algorithms, code instrumentations, etc. Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc. Strong understanding and experience in managing big data of various forms to generate insights and create intelligence. Proven experience with Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL. Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP. Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. Good to Have Skills/Project Experience/Certifications: Experience building agentic AI solutions in a production environment. Knowledge of prompt engineering and GenAI application development. Familiarity with DevOps tools (GitLab CI/CD, Jenkins, Terraform, etc.). Experience with observability tools (Grafana, Prometheus, AWS CloudWatch). Prior work in regulated industries (healthcare, finance, etc.) is a plus. Education:      ·        BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university        Location:   ·        Bengaluru/Hyderabad/Pune/Chennai

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