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Deloitte · 1 day ago

AI/ML Product Architect

Raleigh, NC

Full-time

Hybrid

Senior Level, Lead/Staff

$125K/yr - $256K/yr

10+ years exp

Deloitte is a leading global professional services firm, and they are seeking a Product Architect specializing in AI/ML. This role involves engaging in software architecture for high-visibility projects, delivering AI/ML solutions that drive customer satisfaction and business value.

AccountingConsultingFinancial ServicesLegalProfessional ServicesRisk Management

Growth Opportunities

H1B Sponsored

Responsibilities

Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations

Serve as the technical advocate for products, ensuring architectural integrity, feasibility, and alignment with business and customer goals, NFRs, and applicable architecture and engineering standards-being responsible for product architecture blueprints, high-level architecture designs (e.g., "4+1 model" or relevant others), development/implementation of end-to-end AI/ML solutions, and integration architecture into the technical landscape and technology stack

Possess passion and experience as an individual contributor, responsible for the engineering designs and technical feasibility of solutions, being hands-on with design, configuration and code part of the time, contributing to team velocity. Actively get engaged with engineers to ensure architecture is understood and can be implemented, working with them closely during sprints, helping resolve any technical issues through to production operations: reviewing code, actively driving technology debt reduction, and helping drive engineering quality. Be self-driven to learn new technologies, experiment with engineers, and inspire the team to learn and drive application of those new technologies

Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right architectural solution and machine learning models for the product in the right way at the right time

Exhibit a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions

Work collaboratively with empowered, cross-functional teams including product management, experience, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation

Possess deep expertise in modern software engineering practices and principles, deep learning and Agentic AI solutions, including OOD/OOP, Agile methodologies, MLOps/AgentOps, DevSecOps, Continuous Integration/Continuous Deployment, deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing approaches. Act as a Role-Model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste. Demonstrate proficiency in product development, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning

Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs into technical requirements, designs, and robust data processing pipelines. Navigate various enterprise functions such as business and enabling areas as well as product, experience, delivery, infrastructure, and security to drive product value and feasibility as well as alignment with organizational goals

Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence stakeholders at all levels through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Create coherent narratives that align technical solutions with business objectives

Engage and collaborate with stakeholders at all organizational levels, from team members to senior executives. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions

Qualification

AI/ML expertisePythonCloud platformsMachine learning deploymentData scienceDeep learningAgile methodologiesDevSecOpsEffective communicationInterpersonal skillsOrganizational skills

Required

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

10+ years proven track record of leading and delivering large-scale machine learning projects, including production model deployment and monitoring, data quality framework implementation, and experience with big data to create insights through predictive and prescriptive analytic models

5+ years of hands-on experience in advanced Python (NumPy, Pandas, scikit-learn), SQL, PySpark on cloud hyper-scalers like Azure, AWS, and GCP

2+ years of experience with Prompt Engineering--integrating GPT and other GenAI technologies into existing business processes to enhance decision-making and automate tasks. Experience with large language models such as GPT, BERT, Llama, as well as fine-tuning methodologies

Excellent software engineering and product architecture/design foundation with deep understanding of Business Context Diagrams (BCD), sequence/activity/state/ER/DFD diagrams, OOP/OOD, data-structures, algorithms, code instrumentations, etc

Extensive knowledge of AI/ML, deep learning, NLP, NLU, NLG with implementing the same in production

Understanding of supervised and unsupervised analytic modeling techniques such as linear and logistic regression, support vector machines, decision trees / random forests, Naïve-Bayesian, neural networks, association rules, text mining, and k-nearest neighbors among other clustering models

Deep understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly

Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care

Benefits

Discretionary annual incentive program

Company

Deloitte

Glassdoor4.0

Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services.

Founded in 1845

London, England, GBR

10001+ employees

https://www2.deloitte.com

H1B Sponsorship

Deloitte has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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