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Machine Learning Architect Jobs in Arizona (NOW HIRING)

Preferred Skills Competitive Advantages, Customer Solutions, Data Strategies, Design, Enterprise Architecture Framework, Enterprise Integration Patterns, Machine Learning (ML), Platform Architecture ...

AWS certification such as AWS Certified Machine Learning - Specialty, AWS Certified Solutions Architect, or AWS Certified DevOps Engineer. Experience with data engineering tools such as AWS Glue ...

New

Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications * Leverage advanced technical skills in modern data architecture, data science ...

Knowledge of connected data architecture patterns, including knowledge graphs and data fabrics ... Familiarity with machine learning and AI techniques leveraging graph data * Experience working in ...

Knowledge of connected data architecture patterns, including knowledge graphs and data fabrics ... Familiarity with machine learning and AI techniques leveraging graph data * Experience working in ...

Tablue Architect

Phoenix, AZ

$63.25 - $81.50/hr

Machine Learning - Scala, Python possess strong AMEX domain expertise.. Qualifications * Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three ...

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ ยท On-site

$105K - $145K/yr

Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services (BigQuery, Vertex AI, Dataflow, Pub/Sub, etc.) * Architect and optimize IVR/Conversational AI ...

Experience leveraging AI and machine learning capabilities in program / solution development and system architecture. Understanding of how AI/ML can be integrated into solutions. #LI-KG1 #LI-Hybrid ...

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Experience leveraging AI and machine learning capabilities in program / solution development and system architecture. Understanding of how AI/ML can be integrated into solutions. #LI-KG1 #LI-Hybrid ...

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Showing results 1-20

Machine Learning Architect information

See Arizona salary details

$43.3K

$120K

$187.8K

How much do machine learning architect jobs pay per year?

As of Jul 13, 2026, the average yearly pay for machine learning architect in Arizona is $119,986.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $154,700.00 per year, depending on experience, location, and employer.

What typical projects or responsibilities might a Machine Learning Architect handle on a daily basis?

A Machine Learning Architect often leads the design and integration of scalable machine learning solutions, working closely with data scientists, engineers, and product managers to translate business problems into technical architectures. Daily tasks may include selecting appropriate ML models, overseeing data pipeline construction, defining system requirements, and ensuring best practices in model deployment and monitoring. They also review code, mentor junior team members, and collaborate across teams to align on project goals and timelines. The role offers a mix of hands-on technical work and strategic planning, providing a dynamic and impactful work environment.

What does a Machine Learning Architect do?

A Machine Learning Architect designs and oversees the implementation of machine learning systems, ensuring they are scalable, efficient, and aligned with business goals. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate technologies, and optimize model deployment. Their role includes managing ML workflows, ensuring data pipeline integrity, and addressing challenges like model performance, scalability, and reliability.

What are the key skills and qualifications needed to thrive in the Machine Learning Architect position, and why are they important?

To thrive as a Machine Learning Architect, you need deep expertise in machine learning algorithms, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ML frameworks (such as TensorFlow and PyTorch), and professional certifications in machine learning or data engineering is highly valuable. Exceptional problem-solving, leadership, and cross-functional communication skills help you effectively design solutions and collaborate with diverse technical teams. These skills are essential for architecting robust, scalable ML systems that align with business objectives and drive innovation.

What job categories do people searching Machine Learning Architect jobs in Arizona look for? The top searched job categories for Machine Learning Architect jobs in Arizona are:
Principal Database Engineer - Oracle Exadata

Principal Database Engineer - Oracle Exadata

Citizens

Phoenix, AZ โ€ข Hybrid

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago


Job description

Description

Principal Database Engineer, Oracle Exadata, Multi Database and AI Ready Data Platforms

Locations & Work Arrangement: Remote is not an option, candidates must be willing to commute to one of the following hub locations with a hybrid schedule of 4 days onsite and 1 day remote per week with flexibility in one of the following hubs:

  • Phoenix, AZ
  • Johnston, RI
  • Boston, MA
  • Iselin, NJ
  • Plano or Irving TX

Position Summary
We are seeking a highly skilled and forward looking Principal Database Engineer with deep ownership of Oracle Exadata engineered systems, enterprise Oracle database platforms, and modern cloud native databases. This role is the senior technical and platform authority responsible for architecture, engineering standards, financial stewardship, and long term evolution of the enterprise database ecosystem across Exadata based on premise platforms, hybrid models, and public cloud environments.
The ideal candidate combines hands on Oracle and Exadata expertise, strong commercial and cost management awareness, and a strategic mindset for enabling analytics, machine learning, and Generative AI at enterprise scale.

Key Responsibilities

Oracle Exadata Platform Ownership and Engineered Systems Leadership
Serve as the primary technical owner and architect for Oracle Exadata environments across database, compute, storage, and networking
Define Exadata platform strategy, operating models, consolidation approaches, workload placement, and growth planning
Lead performance engineering using Smart Scan, Hybrid Columnar Compression, ASM, RAC, IORM, and resource management
Own capacity planning, utilization optimization, and expansion strategies balancing performance, availability, and cost
Design and govern high availability and disaster recovery architectures using RAC, Data Guard, and Maximum Availability Architecture patterns
Establish monitoring, diagnostics, and observability standards for proactive platform health management
Partner with infrastructure teams on lifecycle management including patching, firmware alignment, upgrades, expansion, and decommissioning

Oracle Licensing, Cost Optimization, and Commercial Governance
Act as the technical authority for Oracle licensing strategy aligned to architecture and deployment decisions
Optimize licensing and support costs through processor and core analysis, feature usage governance, and environment right sizing
Partner with finance, procurement, and legal on contract negotiations, renewals, audits, and true up activities
Establish engineering guardrails to prevent licensing risk and cost leakage across on premise and cloud environments
Evaluate deployment alternatives including Exadata Cloud at Customer and hybrid models with detailed cost benefit analysis
Provide executive level insight into total cost of ownership, performance tradeoffs, and long term platform sustainability

Database Architecture, Engineering, and Operations
Serve as enterprise technical authority for Oracle and multi database platforms
Administer and optimize Oracle databases including tuning, backup, recovery, security, and lifecycle management
Provide expert guidance for MySQL, PostgreSQL, MongoDB, and other relational and NoSQL platforms
Design and review complex SQL, schemas, and access patterns supporting mission critical applications and analytics
Define resiliency, scaling, and data protection architectures aligned to business RTO and RPO requirements

Cloud and Hybrid Data Platforms
Architect and support cloud database services primarily on AWS and Azure
Lead database modernization and hybrid integration between Exadata and cloud platforms
Establish standards for cloud database performance, cost optimization, security, and reliability
Partner with cloud, infrastructure, and SRE teams on automation, observability, and reliability engineering

AI, Analytics, and Data Enablement
Architect databases supporting advanced analytics, machine learning, and Generative AI workloads
Enable AI ready data performance including high throughput, low latency, and scalable access patterns
Support data integration, replication, and streaming using Kafka, GoldenGate, and cloud native services
Collaborate with data engineering teams on model training, inference, and near real time analytics pipelines

Automation, Governance, and Security
Implement database automation using scripting, DevOps and DataOps practices, and Infrastructure as Code
Enforce data security, privacy, compliance, encryption, access control, and auditing standards
Support responsible data and AI governance including data quality, lineage, and controlled access
Act as senior escalation point for incidents, driving root cause analysis and long term improvements

Technical Leadership and Vendor Management
Provide mentorship and technical leadership to database and platform engineers
Influence architecture, platform roadmaps, and technology selection decisions
Serve as primary technical interface with Oracle and strategic vendors
Evaluate and recommend database technologies, tooling, and vendors aligned to enterprise strategy and financial discipline

Required Qualifications
10 or more years of experience as a Database Engineer or DBA with deep Oracle Exadata expertise
Hands on experience administering and optimizing Oracle databases including RAC, ASM, and Data Guard
Strong understanding of Oracle licensing models, cost drivers, and deployment implications
Experience supporting MySQL, PostgreSQL, and MongoDB in enterprise environments
Advanced SQL, query optimization, and database internals expertise
Experience with AWS database services and hybrid integration patterns
Experience with data replication and streaming using Kafka and GoldenGate
Strong analytical, documentation, and stakeholder communication skills

Preferred Qualifications
Experience with Exadata Cloud at Customer or hybrid engineered system architectures
Demonstrated success reducing Oracle licensing and platform costs
Familiarity with analytics, machine learning, or AI data platforms
Experience with DevOps, DataOps, automation, and Infrastructure as Code
AWS certifications including Database Specialty or Solutions Architect
Experience working in regulated industries

Why This Role
This is a hands on Principal level role with full ownership of Oracle Exadata platforms including architecture, operational excellence, licensing governance, and vendor strategy. The role directly influences how the enterprise balances performance, cost, risk, and innovation while enabling analytics and AI at scale.

Pay Transparency

The salary range for this position is $122,000-180,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factorsย including but not limited to the work location, and relevant skills and experience.ย ย 

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States. For an overview of our benefits, visitย https://jobs.citizensbank.com/benefits.

#LI-Citizens1

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST