Sr. Mgr, GenAI Lead Engineer, Application Development Position Available In Mecklenburg, North Carolina

Job Description:

Position Summary Skills, Experience, Qualifications, If you have the right match forthis opportunity, then make sure to apply today. As a GenAI Engineer Specialist, you will be the visionary anddriving force behind our GenAI strategy, roadmap, andimplementation. Your role will encompass all aspects that arenecessary to make GenAI part of everything we do: how we buildproducts (GenAI-powered SDLC activities) and what we build (GenAIinfusion into features & functionalities). You will get to behands-on most of the time and will lead by example, act as rolemodel, actively engaging in high-visibility projects whilementoring and guiding engineers. This role demands a deepunderstanding of AI/ML/GenAI technologies, leadership acumen, and apassion for driving innovation. The ideal candidate will leadengineers 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 forGenAI as it specifically applies to the product engineering teamsin alignment with the US Deloitte Technology GenAI strategy.

Collaborate with diverse stakeholders, including product,engineering, experience, delivery, security, and infrastructureteams.

Advocacy and Technology Roadmap:

Advocate for, develop, andcommunicate the GenAI implementation approach to the productengineering teams. Ensure the organization is well-informed aboutobjectives, KPIs, technology roadmaps, and progress.

Craft Mastery and Objectives Realization:

Define, measure, anddrive the achievement of KPIs. Establish and evolve AI/ML/GenAIdomain standards and best practices. Actively be hands-on withdesign, architecture, and code most of the time, contributing toteam velocity, and be actively engaged with engineers across SSDLC.Review code, drive tech debt reduction, and experiment with newtech.

Capability Evolution and Development:

Mentor and developengineers. Coach and develop skills in modern engineeringpractices, related to AI/ML/GenAI. Showcase learning and mastery byshowcasing experiments internally, speaking at conferences, writingwhitepapers or blogs, and leading R D collaborations.

Iterative Value Delivery:

Embrace an iterative/incrementalapproach to product engineering. Apply a learning-forward approachto navigate complexity and uncertainty. Ensure alignment withcustomer and business goals through iterative steps and empiricalevidence.

Customer-Centric Problem Solving:

Focus on addressing criticalissues faced by customers and users. Align technical solutions withbusiness objectives. Minimize unnecessary technical complexitiesand overengineering. Drive teams toward peak performance throughcontinuous learning and improvement.

Expert Proficiency and Continuous Improvement:

Possess deepexpertise in modern software engineering practices. Identifyinefficiencies and opportunities for innovation. Enhance theproduct engineering operating model to be lean and adaptable. Guideand transform the organization to embrace lean principles andfoster a culture of innovation.

Tech/Quality Risk Management:

Ensure appropriate technology useand adoption by engineers. Develop and implement explainable,scalable, reliable, and secure products. Inspire experimentationand quality of code. Identify potential technical risks and developmitigation strategies.

Influential Communication:

Influence, persuade, and drivedecision-making processes. Communicate effectively in both writtenand verbal forms. Craft clear, structured arguments and technicaltrade-offs supported by evidence.

Organizational Engagement and Collaboration:

Engage stakeholdersat all levels of the organization. Build collaborative andconstructive relationships. Co-create and drive momentum and valueacross multiple organizational levels. The team Deloitte Technology US (DT – US) helps power Deloitte’s success,which serves many of the world’s largest, most respectedorganizations. We develop and deploy cutting-edge internal andgo-to-market solutions that help Deloitte operate effectively andlead in the market. Our reputation is built on a tradition ofdelivering 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 softwareand product delivery, creating a scalable, cost-effective modelthat focuses on value/outcomes that leverages a progressive andresponsive talent structure.

As Deloitte’s primary internaldevelopment team, Product Engineering delivers innovative digitalsolutions to businesses, service lines, and internal operationswith proven bottom-line results and outcomes. It helps powerDeloitte’s success. It is the engine that drives Deloitte, servingmany of the world’s largest, most respected companies. We developand deploy cutting-edge internal and go-to-market solutions thathelp Deloitte operate effectively and lead in the market. Ourreputation is built on a tradition of delivering withexcellence.

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 likeOpenAI, Claude, Gemini, LangChain, Agents, Vector databases, andapproaches like prompt engineering, fine-tuning, etc.
• Limited sponsorship may be available
• Recruiting for this role will end on April, 29th 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, deploymenttechniques like Blue-Green, Canary to enable A/B testingapproaches.
• 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 togenerate insights and create intelligence.
• Prior experience of leading and managing high-performingengineering teams.
• Advanced degree (e.

g., MS) in computer science, softwareengineering, or related field. The wage range for this role takes into account the wide range offactors that are considered in making compensation decisionsincluding but not limited to skill sets; experience and training;licensure and certifications; and other business and organizationalneeds. The disclosed range estimate has not been adjusted for theapplicable geographic differential associated with the location atwhich the position may be filled. At Deloitte, it is not typicalfor an individual to be hired at or near the top of the range fortheir role and compensation decisions are dependent on the factsand circumstances of each case. A reasonable estimate of thecurrent range is $124,600 to $ 255,900. Information for applicants with a need for accommodation:https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html