Manager, GenAI Engineering

About the position

As a Sr. GenAI Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive GenAI & engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions.

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, contributing to low-level architecture and component design, development, unit testing, integrations, and support.
• Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations.
• Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate.
• Create technical specifications, and 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.
• Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
• Adopt a mindset that favors action and evidence over extensive planning.
• 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.
• Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value.
• Possess deep expertise in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies and DevSecOps.
• Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery.
• Quickly acquire domain-specific knowledge relevant to the business or product.
• Translate business/user needs, architectures, and UX/UI designs into technical specifications and code.
• Articulate complex technical concepts clearly and compellingly.
• Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence.
• Engage and collaborate with product engineering teams at all organizational levels, including customers as needed.

Requirements

• Bachelor's degree in computer science, software engineering, or related field.
• 6+ years of engineering experience focused in AI/ML.
• 2+ years of recent experience in GenAI utilizing technologies such as: OpenAI, Claude, Gemini, LangChain, Agents, Vector databases and approaches like Prompt Engineering, fine-tuning, etc.

Nice-to-haves

• 8+ years of engineering experience focused in AI/ML.
• Prior experience in Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP.
• Prior experience with Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL.
• Prior experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.
• Prior experience and familiarity with XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube.
• Advanced degree (e.g., MS) in computer science, software engineering, or related field.

Benefits

• Discretionary annual incentive program based on individual and organizational performance.
• Broad range of employee benefits.