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Senior Cloud Solutions ArchitectThe Boeing Company • North Charleston, South Carolina, United States
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Senior Cloud Solutions Architect

The Boeing Company
  • US
    North Charleston, South Carolina, United States
  • US
    North Charleston, South Carolina, United States
Apply Now

About

Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
The Boeing Company’s 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 impact. In 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 models—including 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.
Basic Qualifications (Required Skills/Experience)
Bachelor’s 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)
Master’s 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 Company’s 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: $172,550 - $249,550
Applications for this position will be accepted until Jun. 01, 2026
Export Control Requirements This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Export Control Details US based job, US Person required
Relocation This position offers relocation based on candidate eligibility.
Visa Sponsorship Employer will not sponsor applicants for employment visa status.
Shift This position is for 1st shift
Equal Opportunity Employer Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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  • North Charleston, South Carolina, United States

Languages

  • English
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