Senior GenAI Engineer

Position Overview

As a Senior 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 driving tangible value for Deloitte’s business investments. You will leverage your extensive GenAI and engineering craftsmanship across multiple programming languages and modern frameworks, consistently demonstrating a strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate is a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on 20th February, 2026.

Our team, US Deloitte Technology Product Engineering, has modernized software and product delivery by creating scalable, cost-effective models that focus on value and outcomes. As Deloitte’s primary internal development team, we deliver innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results.

Key Responsibilities

• Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes by developing engineering solutions that solve complex problems with valuable outcomes while ensuring high-quality, lean designs and implementations.
• Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity and feasibility while leading requirement analysis, component design, development, unit testing, integrations, and support.
• Engineering Craftsmanship: Maintain accountability for code design, implementation, quality, data, and ongoing maintenance. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks—infusing AI/ML/GenAI where appropriate—and produce high-quality, supportable, scalable code.
• Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to address customer needs, engaging with stakeholders before, during, and after delivery.
• Incremental and Iterative Delivery: Adopt a learning-forward mindset that favors action and evidence over extensive planning to deliver lean, maintainable solutions.
• Cross-Functional Collaboration and Integration: Work collaboratively with cross-functional teams—including product management, experience, and delivery—to integrate diverse perspectives and make balanced decisions.
• Advanced Technical Proficiency: Utilize deep expertise in modern software engineering practices, including AI/ML/GenAI, Agile methodologies, and DevSecOps, to drive full automation from code check-in to production.
• Domain Expertise: Rapidly acquire and apply domain-specific knowledge to translate business needs and UX/UI designs into technical specifications and robust code.
• Effective Communication and Influence: Clearly articulate complex technical concepts and inspire teammates and product teams through well-structured arguments and evidence-backed decisions.
• Engagement and Collaborative Co-Creation: Engage with product engineering teams at all levels, including customers as needed, fostering a culture of co-creation and mutual success.

Required Qualifications

• Education: A bachelor's degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required.
• Strong software engineering foundation with a deep understanding of OOP concepts, data structures, algorithms, code instrumentation, and best coding practices.
• Experience Required: 5+ years of experience with AI/ML technologies, with the last 2 years focused on GenAI and related technologies such as OpenAI, Claude, Gemini, LangChain, Agents, vector databases, prompt engineering, and fine-tuning.
• Proven programming expertise with Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, and NLP frameworks.
• Experience with big data technologies and proficiency in frameworks and languages such as Angular, React, NodeJS, C#, .NET Core, Java, Golang, and SQL/NoSQL.
• Hands-on experience with cloud-native engineering utilizing FaaS, PaaS, or micro-services on major cloud platforms like Azure, AWS, and GCP.
• Familiarity with methodologies and tools including XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, and SonarQube.

Preferred Qualifications

• Excellent interpersonal and organizational skills with the ability to manage diverse situations, complex projects, and shifting priorities with passion, empathy, and care.
• Willingness and ability to travel up to 10% as needed based on project requirements.
• Limited immigration sponsorship may be available.

Benefits & Perks

• Compensation: $102,500 to $210,600 per year (range may vary based on skills, experience, and other factors).
• Eligibility to participate in a discretionary annual incentive program based on individual and organizational performance.
• For applicants requiring accommodations, please visit: Deloitte Assistance for Disabled Applicants