AI and Data Solution Architect

Relha LLC; Jacksonville, Northern (TX, KY); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Benefits package

Job summary

Deloitte Consulting LLP is seeking an experienced AI and Data Solution Architect to lead enterprise architecture for complex technology programs in Financial Services. You will design secure, scalable data platforms, AI-driven analytics, and robust data pipelines across cloud-native environments, with emphasis on Generative AI and modern data architectures.

You will mentor teams, develop roadmaps, and collaborate with clients to translate business challenges into innovative technology solutions

Qualifications

• 6+ years of IT architecture or related technical discipline.
• 6+ years with Hadoop ecosystem (Cloudera) incl. HDFS, Hive, Pig, Sqoop, MongoDB.
• Experience delivering AI and data architecture in Financial Services (Capital Markets, Fraud Detection, Risk Analytics, Regulatory Reporting).
• Strong Python & PySpark, Pandas, NumPy, and modern data architectures (Lakehouse, Medallion, Kafka, Flink, Data Mesh, OLAP/OLTP).
• Hands-on Generative AI: RAG pipelines, LLM integration, prompt engineering, multi-agent workflows, vector dbs (Pinecone, FAISS, Azure AI Search).
• Experience with CI/CD, Git, Docker, Kubernetes; ability to manage multiple workstreams and deadlines.

Responsibilities

• Shape enterprise architecture strategies for complex technology programs.
• Design secure, scalable data platforms and AI-driven analytical solutions.
• Translate business challenges into innovative technology solutions with measurable outcomes.
• Develop technology roadmaps evaluating emerging tech, platforms, and AI capabilities.
• Architect data pipelines and ETL using Python/PySpark across relational, warehouse, and cloud-native environments.
• Design and manage distributed data processing using Hadoop/Cloudera and NoSQL databases.
• Apply AI-assisted development tools, CI/CD practices, and container orchestration to accelerate delivery.
• Serve as a senior technical advisor, mentoring teams and governing architectural best practices.

Skills

IT architecture

Hadoop ecosystem

Python

PySpark

Financial Services AI

CI/CD

Docker

Kubernetes

Cloud platforms

LLM integration

Vector databases

Pinecone

FAISS

Azure AI Search

Databricks

Snowflake

Education

Master's degree in Computer Science / Data Science

Tools

Databricks

Snowflake

Git

Job description

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.

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.

The Team

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required

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

Preferred

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.

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at [emailprotected] .

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From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

As used in this posting, ""Deloitte"" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

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.