Senior GenAI Engineer

About This Role

Actively engage in engineering to deliver high-visibility GenAI solutions that delight customers and drive value for Deloitte's business investments. Leverage extensive GenAI and engineering craftsmanship across multiple programming languages and modern frameworks.

Responsibilities

• Embrace and drive a culture of accountability for customer and business outcomes.
• Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.
• Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals.
• Lead requirement analysis, component design, development, unit testing, integrations, and support.
• Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations.
• Create technical specifications and write high-quality, supportable, scalable code.
• Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs.
• Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery.
• Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value.
• Quickly acquire domain-specific knowledge relevant to the business or product and translate needs into technical specifications and code.

Requirements

• A bachelor's degree in computer science, software engineering, or a related discipline.
• Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc.
• 5+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.
• Proven experience in Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.
• Proven experience with big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, 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.

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.
• 5+ years of experience with AI/ML, with the last 2 years focused on GenAI.

Nice to Have

• An advanced degree (e.g., MS) in computer science, software engineering, or a related discipline.

Skills

* Required skills