Lead GenAI Engineer
Posted 1 month ago Expired
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Upload Your ResumeAbout This Role
This role involves leading high-visibility GenAI projects, focusing on delivering solutions that enhance customer satisfaction and drive business value for Deloitte. The Lead GenAI Engineer will take a hands-on approach, leveraging extensive GenAI and engineering craftsmanship across multiple programming languages and modern frameworks to deliver high-quality, outcome-focused solutions.
Responsibilities
- Embrace and drive a culture of accountability for customer and business outcomes, developing engineering solutions that solve complex problems with valuable outcomes.
- Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals.
- Lead requirement analysis, contributing to low-level architecture and component design, development, unit testing, integrations, and support.
- Maintain accountability for code design, implementation, quality, data, and ongoing maintenance and operations.
- Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with a significant focus on infusing AI/ML/GenAI.
- Create technical specifications, write high-quality, supportable, scalable code, and review code of other engineers, mentoring them.
- Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs and engage with customers before, during, and after delivery.
- Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.
- Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery.
- Translate business/user needs, architectures, and UX/UI designs into technical specifications and code.
Requirements
- 8+ years of experience with AI/ML
- 2+ years focused on GenAI technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases
- Experience with Prompt Engineering, fine-tuning
- Proven experience in Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP
- Strong understanding and experience in managing big data of various forms
- 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
Qualifications
- A bachelor's degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required.
- 8+ years of experience with AI/ML, with last 2 years focused on GenAI.
Nice to Have
- Advanced degree (MS) in computer science, software engineering, or a related discipline
Skills
* Required skills
About Deloitte
A company transforming technology platforms, driving innovation, and transforming mission-critical operations for clients, especially in the Life Sciences sector.