AI and Data Solution Architect

Deloitte • Jacksonville, FL

26d • Hybrid

About The Position

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced AI and Data Solution Architect, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

Requirements

• 6+ years of experience in IT architecture, systems design, or a related technical discipline, with experience delivering enterprise-scale data and/or AI solutions in complex environments.
• 6+ years of experience with distributed data platforms in the Hadoop ecosystem, preferably Cloudera, including HDFS, Hive, Pig, Sqoop, and MongoDB.
• Experience delivering AI and data architecture solutions within Financial Services, particularly Capital Markets, Fraud Detection, Risk Analytics, or Regulatory Reporting.
• Strong proficiency in Python and PySpark, including Pandas, NumPy, and Pydantic, as well as modern data architectures such as Lakehouse, Medallion, Kafka, Flink, Data Mesh, and OLAP/OLTP modeling.
• Hands-on experience designing enterprise Generative AI solutions, including RAG pipelines, LLM integration, prompt engineering, multi-agent workflows, and vector databases such as Pinecone, FAISS, or Azure AI Search.
• Experience with CI/CD, Git, Docker, and Kubernetes, along with the organizational skills to manage multiple workstreams, take ownership of complex challenges, and deliver under tight deadlines
• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
• Limited immigration sponsorship may be available
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. This may include overnight travel.

Nice To Haves

• Master's degree in Computer Science, Data Science, Software Engineering, Mathematics, or a related quantitative discipline, and/or equivalent professional experience delivering enterprise AI and data solutions.
• Commercial & Strategic Vision: Familiarity with competitor technology products and services, with a deep understanding of how architectural specialisms contribute to commercial outcomes and Return on Investment (ROI).
• Cloud Platform & Infrastructure: Hands-on experience designing and deploying solutions on major cloud platforms (AWS, Azure, or GCP), including cloud-native data services (Databricks, Snowflake) and applying infrastructure engineering principles alongside software architecture.
• Project & Program Management: Experience managing and delivering complex, multi-workstream technology programs, including stakeholder management, resource planning, and milestone governance.
• Industry Certifications: Relevant certifications such as AWS Certified Data Analytics, Google Professional Data Engineer, Databricks Certified Associate, or equivalent cloud and data architecture qualifications.

Responsibilities

• Shape enterprise architecture strategies for complex technology programs, aligning solutions with client blueprints and long-term objectives.
• Design secure, scalable data platforms and AI-driven analytical solutions for capital markets and financial services organizations.
• Translate complex business challenges into innovative technology solutions that deliver measurable business outcomes.
• Develop technology roadmaps by evaluating emerging technologies, platforms, infrastructure, and AI capabilities.
• Architect advanced data pipelines and ETL solutions using Python and PySpark across relational, warehouse, and cloud-native environments.
• Design and manage distributed data processing solutions using Hadoop, Cloudera, distributed file systems, and NoSQL databases.
• Apply AI-assisted development tools, CI/CD practices, and container orchestration to improve quality and accelerate delivery.
• Serve as a senior technical advisor, mentoring development teams and governing architecture and engineering best practices across transformation programs.

Benefits

• competitive for project delivery-focused professionals.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior