Overview
On Site
USD 159,000.00 - 292,900.00 per year
Full Time
Skills
Software Development Methodology
Articulate
Roadmaps
KPI
Design Architecture
Apache Velocity
Writing
Research and Development
Problem Solving
Conflict Resolution
FOCUS
Continuous Improvement
Adaptability
Lean Methodology
Risk Management
Communication
Decision-making
Collaboration
Product Engineering
Go-To-Market Strategy
Computer Science
Artificial Intelligence
Generative Artificial Intelligence (AI)
LangChain
Vector Databases
Prompt Engineering
Big Data
Forms
Python
R
TensorFlow
PyTorch
Keras
C#
Julia
Machine Learning (ML)
Natural Language Processing
Node.js
JavaScript
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Cloud Computing
Software Engineering
Agile
DevSecOps
Machine Learning Operations (ML Ops)
A/B Testing
Management
Organizational Skills
Immigration
Training
Enterprise Architecture
PXE
Recruiting
MEAN Stack
Innovation
Investments
Professional Development
Leadership
Mentorship
Linear Programming
Legal
SAP BASIS
Law
Job Details
Role Overview : As a Senior Manager, 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.
Recruiting for this role ends on 1/11/2026.
Key Responsibilities :
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 : 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.
Key Qualifications :
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation:
EA_ExpHire
EA_ITS_ExpHire
PXE_JOBS
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Our purpose
Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
Professional development
From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte Services LP, a subsidiary of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Requisition code: 320460
Job ID 320460
Recruiting for this role ends on 1/11/2026.
Key Responsibilities :
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 : 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.
Key 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. Experience is the most relevant factor.
- 12+ years of hands-on applied experience in 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.
- Strong understanding and experience in managing big data of various forms to generate insights and create intelligence.
- Proven experience in: Python, R, TensorFlow, PyTorch, Keras, C#, Julia, ML libraries, NLP, NodeJS, Javascript, Streamlit, etc.
- Strong experience with cloud hyper-scalers like AWS, Azure, Google Cloud Platform to build cloud-native applications.
- Expertise in modern software engineering practices, including Agile methodologies, DevSecOps, SRE, MLOps, deployment techniques like Blue-Green, Canary to enable A/B testing approaches.
- Proven track record of leading and managing high-performing engineering teams.
- Exceptional interpersonal and organizational skills as well as strategic mindset with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
- Limited immigration sponsorship may be available.
- Ability to travel 0-20%, on average, based on the work you do and the clients and industries/sectors you serve
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation:
EA_ExpHire
EA_ITS_ExpHire
PXE_JOBS
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Our purpose
Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
Professional development
From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte Services LP, a subsidiary of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Requisition code: 320460
Job ID 320460
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.