Software Product Architect

• 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

• 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, * 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
• 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., * 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 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 $113,100 to $232,300.

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.

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.