Senior Cloud Solutions Architect

Company:

The Boeing Companys Talent Analytics team is looking for a Senior Cloud Solutions Architect with expertise in DevSecOps DataOps and MLOps to join our team in North Charleston SC Seattle WA or Berkeley MO.

This position will design build and operationalize analytic solutions that address workforce and Human Resources (HR) challenges delivering measurable business this role you will partner closely with HR leaders HR Information Systems (HRIS)/Information Technology (IT) data engineering and analytics teams. Together you will build cloud solutions deploy data pipelines using Continuous Integration (CI) and Continuous Delivery/Deployment (CD) tools implement DevOps practices automate systems and develop interpretable modelsincluding Machine Learning (ML) and Large Language Model (LLM)-based solutions.

The ideal candidate approaches problem-solving with a product mindset using an iterative and agile approach to navigate complex scenarios. They demonstrate strong ownership and results orientation taking full accountability for delivery end-to-end operations and achieving measurable impact. They excel in collaboration and influence by building strong cross-functional relationships and effectively managing competing priorities. Throughout their work they apply ethical judgment prioritizing fairness privacy and the impact on employees in all modeling decisions.

Position Responsibilities:

• Lead automation initiatives for modern data pipelines workflows applications ML model release build/testing and other tools to accelerate product development and achieve First Time Quality

• Develop and productionize features and models in collaboration with data engineers and data scientists by implementing reproducible data pipelines model training pipelines CI/CD containerization and deployment patterns

• Ensure robust alerting monitoring and observability for cloud solutions Application Programming Interface (API) management pipelines and model drift detection

• Design build and operationalize Natural Language Processing (NLP) Large Language Model (LLM) and Retrieval-Augmented Generation (RAG) platforms and pipelines for HR use cases in production environments

• Build scalable systems that meet Service Level Agreement (SLA) / Service Level Objective (SLO) requirements enable quick recovery from failures maintain data quality and ensure compliance

• Mentor junior developers review code and model artifacts and raise team standards for reproducibility documentation and governance

• Ensure models and deployments comply with governance privacy and ethical standards by collaborating with HR Data Steward Legal/Privacy and Ethics/Artificial Intelligence (AI) governance teams

• Translate complex analyses into concise recommendations for HR leaders and executives

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.

BasicQualifications (Required Skills/Experience):

• Bachelors degree or higher

• 10 years of experience in full stack development

• 10 years of programming experience

• 5 years of experience in developing or deploying analytical models forecasts or automations

• Experience with Artificial Intelligence (AI) hardware and software integration

• Experience with Artificial Intelligence (AI) and Machine Learning (ML) technologies including the ability to integrate AI-driven insights into data architecture and analytics processes

• Experience in handling data and systems involving machine learning/predictive analytics

Preferred Qualifications (Desired Skills/Experience):

• Masters Degree or higher in Statistics Computer Science Economics Engineering or a related field

• 5 years of experience creating and analyzing data and metrics through the use of Human Resource Management Systems (HRMS) PeopleSoft Taleo etc. and Microsoft Office tools (Excel PowerPoint etc.)

• Experience in building implementing and deploying Infrastructure as Code (IaC) using major cloud providers (Amazon Web Services (AWS) Microsoft Azure Google Cloud Platform (GCP))

• Experience in production-grade Python coding (modular design testing packaging) version control (Git) and collaboration with Development Operations (DevOps) / Continuous Integration and Continuous Deployment (CI/CD) workflows Application Programming Interface (API) management and containerization

• Experience with data engineering and infrastructure including Extract Transform Load (ETL) feature engineering data warehouses/lakes and modern cloud platforms (experience with Apache Spark data build tool (dbt) Apache Airflow or equivalents is desirable)

• Experience with machine learning and generative artificial intelligence (AI) systems and tooling including model registries and lifecycle tools (MLflow Terraform or equivalents); experience developing Large Language Models (LLMs) and maintaining Retrieval-Augmented Generation (RAG) systems with vector databases and embedding pipelines

• Experience with Structured Query Language (SQL) skills Python and Extract Transform Load / Extract Load Transform (ETL/ELT) tools for batch and real-time processing

• Experience with privacy and security techniques such as de-identification synthetic data generation and access control for sensitive HR data

Conflict of Interest:
Successful candidates for this job must satisfy the Companys Conflict of Interest (COI) assessment process.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana cocaine opioids amphetamines PCP and alcohol when criteria is met as outlined in our policies.

Pay & Benefits:

At Boeing we strive to deliver a Total Rewards package that will attract engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs generally including health insurance flexible spending accounts health savings accounts retirement savings plans life and disability insurance programs and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location date of hire and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications as well as market and business considerations.

Summary pay range: $172550 - $249550

Language Requirements:

Education:

Relocation:

Export Control Requirement:

Safety Sensitive:

Security Clearance:

Visa Sponsorship:

Contingent Upon Award Program

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