Bachelor's degree in computer science, software engineering, or a related field
10+ years of experience leading and delivering large-scale machine learning initiatives, including production model deployment and monitoring
Software Product Architect at Deloitte
5+ years of hands-on experience with Python, Structured Query Language, and PySpark on Azure, Amazon Web Services, or Google Cloud Platform
2+ years of experience with prompt engineering and integrating large language models such as GPT, BERT, or Llama into business processes
Experience designing software and product architecture using object-oriented design, data structures, algorithms, and architecture artifacts such as sequence, activity, state, entity relationship, and data flow diagrams
Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Advanced degree in computer science, software engineering, or a related field
Experience building and deploying natural language processing, natural language understanding, natural language generation, or deep learning solutions in production
Experience implementing supervised and unsupervised machine learning techniques, including regression, support vector machines, decision trees, random forests, neural networks, clustering, and text mining
Experience with machine learning operations, AgentOps, DevSecOps, site reliability engineering, Azure DevOps, GitHub, and SonarQube
Experience with continuous integration/continuous deployment and deployment strategies such as blue-green and canary releases
Experience developing data quality frameworks and predictive or prescriptive analytics solutions on large datasets
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 ran
Additional Information
Position Summary
As a Product Architect specializing in AI/ML, you will actively engage in your software architecture craft, taking a hands-on approach to multiple high-visibility projects, infusing AI/ML and GenAI to build state of the art products. 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 engineering and AI/ML craftsmanship and advanced proficiency across multiple programming languages, data science, and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a role model and engineering mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions.
Recruiting for this role ends on 06/30/2026.
Work you'll do
As a Manager, Product Architect on the Product Engineering team, you will be responsible for:
Driving accountability for customer and business outcomes by designing and delivering AI/ML and GenAI solutions for complex product challenges
Serving as the technical architect for assigned products, with responsibility for architecture blueprints, high-level solution design, nonfunctional requirements, and integration into the broader technology landscape
Providing hands-on engineering leadership through design reviews, code reviews, technical issue resolution, engineering quality practices, and technology debt reduction
Partnering with product, experience, delivery, infrastructure, and security teams to align architecture decisions with business goals, customer needs, feasibility, and usability
Delivering solutions iteratively through experimentation and evidence-based decision-making to build maintainable, supportable products at speed
A successful candidate would possess these skills:
Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to mentor and provide clear guidance to others
The Team
Deloitte Technology Product Engineering modernizes software and product delivery through a scalable, outcome-focused model designed to accelerate value for the business. As Deloitte's primary internal development organization, the team builds and deploys innovative digital products that support Deloitte businesses, service lines, and internal operations. Product Engineering combines modern engineering practices with cross-functional collaboration to deliver high-quality solutions that help Deloitte operate effectively and lead in the market.
Deloitte · Atlanta, GA