Position Summary
As a GenAI Engineer Specialist, you will be the visionary and driving force behind our GenAI strategy, roadmap, and implementation. Your role will encompass all aspects that are necessary to make GenAI part of everything we do: how we build products (GenAI-powered SDLC activities) and what we build (GenAI infusion into features & functionalities). You will get to be hands-on most of the time and will lead by example, act as role model, actively engaging in high-visibility projects while mentoring and guiding engineers. This role demands a deep understanding of AI/ML/GenAI technologies, leadership acumen, and a passion for driving innovation. The ideal candidate will lead engineers and collaborate with cross-functional teams to design, develop, and deploy advanced AI/ML/GenAI solutions.

Work you’ll do

• Strategic Vision and Alignment: Craft and articulate a vision for GenAI as it specifically applies to the product engineering teams in alignment with the US Deloitte Technology GenAI strategy. Collaborate with diverse stakeholders, including product, engineering, experience, delivery, security, and infrastructure teams.
• Advocacy and Technology Roadmap: Advocate for, develop, and communicate the GenAI implementation approach to the product engineering teams. Ensure the organization is well-informed about objectives, KPIs, technology roadmaps, and progress.
• Craft Mastery and Objectives Realization: Define, measure, and drive the achievement of KPIs. Establish and evolve AI/ML/GenAI domain standards and best practices. Actively be hands-on with design, architecture, and code most of the time, contributing to team velocity, and be actively engaged with engineers across SSDLC. Review code, drive tech debt reduction, and experiment with new tech.
• Capability Evolution and Development: Mentor and develop engineers. Coach and develop skills in modern engineering practices, related to AI/ML/GenAI. Showcase learning and mastery by showcasing experiments internally, speaking at conferences, writing whitepapers or blogs, and leading R&D collaborations.
• Iterative Value Delivery: Embrace an iterative/incremental approach to product engineering. Apply a learning-forward approach to navigate complexity and uncertainty. Ensure alignment with customer and business goals through iterative steps and empirical evidence.
• Customer-Centric Problem Solving: Focus on addressing critical issues faced by customers and users. Align technical solutions with business objectives. Minimize unnecessary technical complexities and overengineering. Drive teams toward peak performance through continuous learning and improvement.
• Expert Proficiency and Continuous Improvement: Possess deep expertise in modern software engineering practices. Identify inefficiencies and opportunities for innovation. Enhance the product engineering operating model to be lean and adaptable. Guide and transform the organization to embrace lean principles and foster a culture of innovation.
• Tech/Quality Risk Management: Ensure appropriate technology use and adoption by engineers. Develop and implement explainable, scalable, reliable, and secure products. Inspire experimentation and quality of code. Identify potential technical risks and develop mitigation strategies.
• Influential Communication: Influence, persuade, and drive decision-making processes. Communicate effectively in both written and verbal forms. Craft clear, structured arguments and technical trade-offs supported by evidence.
• Organizational Engagement and Collaboration: Engage stakeholders at all levels of the organization. Build collaborative and constructive relationships. Co-create and drive momentum and value across multiple organizational levels.

The team
Deloitte Technology US (DT - US) helps power Deloitte’s success, which serves many of the world’s largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

The ~3,000 professionals in DT - US deliver services including:

• Cyber Security
• Technology Support
• Technology & Infrastructure
• Applications
• Relationship Management
• Strategy & Communications
• Project Management
• Financials

Deloitte Product & Engineering
US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.
Qualifications

Required:

• Bachelor’s degree or equivalent experience in computer science, software engineering, or a related field.
• Minimum 10 years of modern software engineering experience
• Minimum 5 years of hands-on applied experience in AI/ML
• Minimum 5 years of experience with cloud hyper-scalers like AWS, Azure, GCP to build cloud-native applications
• Minimum 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.
• Limited sponsorship may be available
• Recruiting for this role will end on April, 1st 2025

Preferred:

• 12 years of hands-on applied experience in AI/ML
• Prior experience in modern software engineering practices, including Agile methodologies, DevSecOps, SRE, MLOps, deployment techniques like Blue-Green, Canary to enable A/B testing approaches.
• Prior experience in: Python, R, TensorFlow, PyTorch, Keras, C#, Julia, ML libraries, NLP, NodeJS, Javascript, Streamlit, etc.
• Prior experience in managing big data of various forms to generate insights and create intelligence.
• Prior experience of leading and managing high-performing engineering teams.
• Advanced degree (e.g., MS) in computer science, software engineering, or related field.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $124,600 to $ 255,900.
How you’ll grow
At Deloitte, our professional development plan focuses on helping people at every level of their career to help them to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. [1] Learn more about what working at Deloitte can mean for you.
Deloitte’s culture
Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives. [2] Learn more about Life at Deloitte.
Corporate citizenship
Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. [3] Learn more about Deloitte’s impact on the world.
Recruiter tips
We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you’re applying to. [4] Check out recruiting tips from Deloitte professionals.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.htm

• Strategic Vision and Alignment: Craft and articulate a vision for GenAI as it specifically applies to the product engineering teams in alignment with the US Deloitte Technology GenAI strategy. Collaborate with diverse stakeholders, including product, engineering, experience, delivery, security, and infrastructure teams.
• Advocacy and Technology Roadmap: Advocate for, develop, and communicate the GenAI implementation approach to the product engineering teams. Ensure the organization is well-informed about objectives, KPIs, technology roadmaps, and progress.
• Craft Mastery and Objectives Realization: Define, measure, and drive the achievement of KPIs. Establish and evolve AI/ML/GenAI domain standards and best practices. Actively be hands-on with design, architecture, and code most of the time, contributing to team velocity, and be actively engaged with engineers across SSDLC. Review code, drive tech debt reduction, and experiment with new tech.
• Capability Evolution and Development: Mentor and develop engineers. Coach and develop skills in modern engineering practices, related to AI/ML/GenAI. Showcase learning and mastery by showcasing experiments internally, speaking at conferences, writing whitepapers or blogs, and leading R&D collaborations.
• Iterative Value Delivery: Embrace an iterative/incremental approach to product engineering. Apply a learning-forward approach to navigate complexity and uncertainty. Ensure alignment with customer and business goals through iterative steps and empirical evidence.
• Customer-Centric Problem Solving: Focus on addressing critical issues faced by customers and users. Align technical solutions with business objectives. Minimize unnecessary technical complexities and overengineering. Drive teams toward peak performance through continuous learning and improvement.
• Expert Proficiency and Continuous Improvement: Possess deep expertise in modern software engineering practices. Identify inefficiencies and opportunities for innovation. Enhance the product engineering operating model to be lean and adaptable. Guide and transform the organization to embrace lean principles and foster a culture of innovation.
• Tech/Quality Risk Management: Ensure appropriate technology use and adoption by engineers. Develop and implement explainable, scalable, reliable, and secure products. Inspire experimentation and quality of code. Identify potential technical risks and develop mitigation strategies.
• Influential Communication: Influence, persuade, and drive decision-making processes. Communicate effectively in both written and verbal forms. Craft clear, structured arguments and technical trade-offs supported by evidence.
• Organizational Engagement and Collaboration: Engage stakeholders at all levels of the organization. Build collaborative and constructive relationships. Co-create and drive momentum and value across multiple organizational levels