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Deloitte AI Integration Architect / Solution Architect in Arlington, Virginia

Solution Architect / AI Integration Architect

Are you looking to architect and build solutions on a cutting-edge AI platform? Do you love to figure out scalable solutions to complex integration problems? Do you enjoy communicating these big ideas to senior leaders in an organization? Now you can have all! We are looking for talented individuals with an innovative mindset and technical skillset to join our growing team.

Work you'll do

  • Work with stakeholders to understand business challenges and opportunities, evaluate feasibility of requirements, determine priorities and come up with application architecture options and a technical roadmap

  • Be responsible for designing and implementing strategies, architectures, ingestion, storage, consumption and delivery processes for complex, large-volume, multi-variate, batch and real time data sets used for analytics, modeling and data science applications

  • Participate or Lead design sessions and workshops to clarify requirements and determine architecture options

  • Understand the capabilities and roadmap of existing enterprise platforms to advise customers on usage best practices

  • Make high level design choices for the software structure, frameworks, protocols, and algorithms and guide engineering teams during implementation

  • When necessary, get hands-on and support your team in the implementation of complex business logic and algorithms.

  • Engaging in technical resource planning and level-of-effort estimation to support project scoping, pricing, and planning

  • Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML technologies.

    The team

    This role is a part of Innovation & Platforms, which is an organization within Deloitte Consulting whose goal is to build a culture of continuous innovation to drive profitable revenue through the identification and incubation of breakthrough ideas in cloud-based software and advanced analytics products and platforms.

Qualifications

Required:

  • Bachelor's in computer science or Information Technology or similar field

  • 4-7+ years of technology experience in an enterprises or web scale product company

  • 4+ years of architecture, design, implementation, and/or support of cloud technologies and platforms

  • 3+ years of relevant Artificial Intelligence consulting or industry experience

  • Deep Experience in building products/solutions/assets using cloud-based platforms. Ability to build applications using cloud native services/technologies is a must.

  • Demonstrated expertise with multiple full life cycle Artificial Intelligence software product across strategy, design and implementation.

  • Understanding of advanced analytics\machine learning concepts\use cases and how to apply this technology to solve business problems

  • Hands on Experience with one or more programming languages (Python, JavaScript, Java, Golang), databases & concepts (normalization/optimized query design/database design), data structures, Object Oriented Concepts

  • Excellent communication and analytics skills. Comfortable in communicating with executives.

  • Experience with AWS services and/or Google Cloud Platform or similar

    Preferred:

  • Ability to understand and abstract requirements and identify right technologies for building prototypes

  • General business knowledge in a domain / industry (e.g. demand planning / forecasting, financials, etc.)

  • Strong experience with data analytics and data integration SaaS tools (e.g. Databricks, Matillion)

  • Strong experience with data analytics and data integration cloud native tools (e.g. AWS Glue, Data Factory)

  • Strong experience with Machine Learning SaaS tools or cloud native tools (e.g. Data Robot, AWS Sage maker)

  • Basic knowledge and ability to work with visualization tools (like Tableau)

  • Preferred Certifications in one or more leading cloud providers: GCP, AWS (e.g. AWS Solution Architect) would be a plus

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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.

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