Top 60 Lead data architect Jobs in Miami, Fl

AI Architect Lead (Hybrid-within BankUnited's footprint)
BankUnited, N. A. —Miami Lakes, FL
- Azure
- Computer Science
- Research
Lead AI Software Engineer, Technology & Digital, FT,8:30A - 5P
Baptist Health South Florida —Coral Gables, FL
- $126,148.63 - $163,993.22 a year
- Full-time
- Computer Science
- System design
- Research
- Wellness program
- Health insurance
16h
Lead AI Technical Architect, Technology and Digital, FT,08:30A-5P
Baptist Health South Florida —Florida
- $137,846.35 - $179,200.26 a year
- Full-time
- Computer science
- Azure
- Oracle
- Wellness program
- Health insurance
8d
Data Architect/Microsoft Fabric Architect / Implementation Lead
Stellar IT Solutions LLC —Miami, FL
- $65 - $70 an hour
- 7 years
- SQL
- Senior level
Quick Apply
Service Management Lead, VP - Enterprise Technology
Blackstone Group —Miami, FL
- $160,000 - $225,000 a year
- Full-time
- 5 years
- Office
- Bachelor's degree
- Health insurance
- Dental insurance
BCG Platinion | Lead AI Tech Architect
Boston Consulting Group —Miami, FL
- $190,000 a year
- Full-time
- Computer Science
- ERP systems
- Urgent Care
- Profit sharing
- Paid parental leave
Sr Manager, Lead Delivery Leader
Deloitte —Miami, FL
- $124,600 - $255,900 a year
- Full-time
- 11+ years
- Travel
- Conflict management
2d
Domain Tech Lead — Infrastructure Patching Automation (Mainframe & AS/400)
Deloitte —Miami, FL
- $134,000 - $265,000 a year
- Full-time
- 7 years
- Azure
- Up to 50% travel
2d
Technical Delivery Lead - Data & Agentic Transformation, Google Cloud
Accenture —Miami, FL
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- 6 years
- Computer Science
- SQL
- Paid holidays
- Disability insurance
9d
SAP Master Data Governance (MDG) Lead
Accenture —Miami, FL
- $87,400 - $266,300 a year
- Full-time
- 6 years
- US work authorization
- Military encouraged
- Paid holidays
- Disability insurance
Delivery Lead – Blue Yonder Transportation Management Solution Architect
Accenture —Miami, FL
- $122,700 - $302,400 a year
- Full-time
- Presentation skills
- Mentoring
- US work authorization
- Paid holidays
- Disability insurance
6d
Lead Data Engineer
Lennar —Miami, FL
- Full-time
- Office
- Travel
- 1 year
- Paid parental leave
- Health insurance
AWS Agentic Delivery Lead - Americas – LS/FS/CMT
Accenture —Miami, FL
- $122,700 - $302,400 a year
- Full-time
- Hybrid work
- 6 years
- AWS
- Team management
- Paid holidays
- Disability insurance
Google AI Lead Architect
Deloitte —Miami, FL
- $141,200 - $278,300 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
Technology and Innovation - Lead to Cash Delivery Lead (Salesforce)
Riveron —Miami, FL
- $170,000 - $240,000 a year
- Full-time
- Hybrid work
- System design
- Mentoring
- Agile
- Health insurance
- Dental insurance
Lead, Data Visualization & Business Intelligence
Royal Caribbean Group —Miami, FL
- Full-time
- 7 years
- Office
- Master's degree
Lead Engineer, RAAS | Compliance Advisory and Automation Services
Aprio —Fort Lauderdale, FL
- $98,900 - $132,800 a year
- Full-time
- Remote
- 7 years
- Azure
- AWS
- Profit sharing
- Wellness program
12h
Technical Delivery Lead - Infrastructure, Google Cloud
Accenture —Miami, FL
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- 6 years
- Computer Science
- US work authorization
- Paid holidays
- Disability insurance
9d
Lead/Principal Enterprise Architect
Four Seasons —Miami, FL
- Full-time
- Hybrid work
- Computer Science
- 5 years
- Office
BCG Platinion | Lead AI Tech Architect - AI Platforms
Boston Consulting Group —Miami, FL
- $190,000 a year
- Full-time
- Azure
- 6 years
- Computer Science
- Profit sharing
- Paid parental leave

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AI Architect Lead (Hybrid-within BankUnited's footprint)

BankUnited, N. A. -
Miami Lakes, FL

Apply Now

Job Details

Qualifications

AI models
Software engineering
Requirements specification
Requirements design
Team supervision
Project management experience in technology
Application Architecture Design (Architecture design skill)
Software implementation
Generative models
Supervising experience
Bank experience
Requirements analysis
Implementation (software development lifecycle)
Leading team collaboration initiatives
Design (software development lifecycle)
Generative AI

Full Job Description

SUMMARY: The AI Architect Lead is a leadership role which will entail both strategy as well as more tactical technology assessment. From a strategy position, this role will engage with various levels of the organization (department heads, team leads, executive management, risk & compliance, etc.) to lead the development of potential AI use cases which will directly influence the strategic direction of the Bank's adoption of AI. The AI Architect Lead will report to the Chief Technology Officer and in doing so will play an integral role in maturing the Bank's AI framework by providing thought leadership and oversight for AI-enabled application design and development. This role will also work with various business teams to understand their goals and requirements while conversely engaging technical engineering teams to align how AI would be best leveraged to solve the business problem and/or to achieve the desired outcome. Assistance in the definition of AI architecture frameworks and patterns for reuse as well as engagement with Risk Management teams to help define AI processes and controls will also be a key function.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties and special projects may be assigned.

Collaborate with key stakeholders to identify opportunities for using AI to enhance business processes and achieve desired outcomes.
Work across engineering teams to recommend suitable AI technologies and solutions to address identified opportunities and to leverage synthetic data to address data drift, data quality, and mitigate bias in AI solutions.
Establish a deep understanding of our business needs and communicate key insights/findings/requirements to engineering teams.
Conduct PoCs to demonstrate the value and feasibility of AI solutions to the lines of business.
Advise on the selection and implementation of appropriate AI technologies based on business needs and technical considerations.
Perform risk assessments of AI solutions, identifying potential risks and recommending effective mitigation strategies.
Translate the vision of business requirements into realistic technical implementations, while identifying misaligned initiatives and impractical use cases
Contribute toward the development of a comprehensive AI Architecture framework inclusive of patterns and guidelines that support the deployment, evaluation, and management of AI solutions
Contribute to the definition of the Bank's AI/ML technical direction and architectural vision, ensuring alignment with strategic goals and AI transformation efforts.
Assist toward the selection of appropriate AI technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools
Understand LLM model architecture and evaluate its use (embedded or otherwise) as part of 3rd party platform evaluation
Contribute to the successful execution of AI-powered applications using an agile methodology
Work closely with security and risk leaders to identify and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations
Work with the HR training department to develop and roll out appropriate AI training.
Help AI product managers and business stakeholders to understand the potential and limitations of AI when planning new products
Building positive relationships with various line of business to understand their goals and objectives
Assist toward the preparation of AI Architecture design for Architecture Review Board approval
Identification/research of forward-looking AI use-cases and emerging technologies that will drive the AI roadmap for the bank, covering ML, advanced LLM architectures that provided competitive advantage
Provide leadership, oversight and guidance on AI application design and development
Contribute to the establishment of technology standards, best practices for data privacy, model security, and compliance for AI including ML, Gen AI lifecycle management
Spearhead the design and integration of Generative AI applications including prompt engineering, retrieval augmented generation (RAG), fine-tuning(LoRA, QoRA), and multimodal AI for Enterprise use.
Lead the design and implementation of scalable MLOps/LLMOps frameworks ensuring robust model lifecycle management, CI/CD and automated model monitoring.
Collaborate with Cloud Architecture, Security Architecture, Enterprise Architecture in aligning the AI Solutions with existing Enterprise standards, tech stacks, security policies, and cost optimized cloud best practices for deploying, scaling, and swapping LLMs
Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
Adheres to Bank policies and procedures and completes required training.
Identifies and reports suspicious activity.

EDUCATION

Bachelor's Degree in any of Computer Science, Engineering, Statistics, Data Science or a related field required

EXPERIENCE

7-9 Years years of experience translating business requirements into technical requirements and design documents required
7-9 Years years of experience with application architecture analysis, design, and delivery required
4-6 Years years of full application development life cycle implementations required
1-3 Years Experience working with Traditional AI and GenAI Technologies required
1-3 Years Experience in a project team lead role and road mapping exercises required
4-6 Years Banking/Financial background or experience required

CERTIFICATES, LICENSES, REGISTRATIONS

Relevant certifications in Cloud AI platforms such as AWS, GCP, Azure, Oracle and data technologies a plus preferred

KNOWLEDGE, SKILLS AND ABILITIES

Excellent communication skills and business acumen
Ability to communicate technical topics in a clear, succinct, and relevant way.
Working knowledge of AI / ML frameworks and tools
Working knowledge of data science, data engineering, and software development principles.
Consistently demonstrate professional, positive, and approachable attitude, demeanor and discretion.
Agentic AI, Model Context Protocols (MCP), LLM model fine-tuning methods such as LoRA, QoRA
Claude Code, Frontier LLM models - GPT, Claude, Gemini, Github Copilot, VS Code, Python
GPU architecture, KV Cache, Token economics
AWS Bedrock, M365 Copilot Studio, M365 Copilot, LangChain, Autogen, Azure AI Foundry

ADDITIONAL INFORMATION

Candidates residing in locations within BankUnited's footprint may be given preference.

#GoForMore

Requirements:

Candidates residing in locations within BankUnited's footprint may be given preference.

Apply Now

Refine Your Search

lead data architect jobs in miami, fl

AI Architect Lead (Hybrid-within BankUnited's footprint)

Lead AI Software Engineer, Technology & Digital, FT,8:30A - 5P

Lead AI Technical Architect, Technology and Digital, FT,08:30A-5P

Data Architect/Microsoft Fabric Architect / Implementation Lead

Service Management Lead, VP - Enterprise Technology

BCG Platinion | Lead AI Tech Architect

Sr Manager, Lead Delivery Leader

Domain Tech Lead — Infrastructure Patching Automation (Mainframe & AS/400)

Technical Delivery Lead - Data & Agentic Transformation, Google Cloud

SAP Master Data Governance (MDG) Lead

Delivery Lead – Blue Yonder Transportation Management Solution Architect

Lead Data Engineer

AWS Agentic Delivery Lead - Americas – LS/FS/CMT

Google AI Lead Architect

Technology and Innovation - Lead to Cash Delivery Lead (Salesforce)

Lead, Data Visualization & Business Intelligence

Lead Engineer, RAAS | Compliance Advisory and Automation Services

Technical Delivery Lead - Infrastructure, Google Cloud

Lead/Principal Enterprise Architect

BCG Platinion | Lead AI Tech Architect - AI Platforms

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