Senior Cloud Solutions Architect

Senior Cloud Solutions Architect – The Boeing Company The Boeing Company’s Talent Analytics team is seeking a Senior Cloud Solutions Architect with expertise in DevSecOps, DataOps, and MLOps. The role will design, build, and operationalize analytic solutions to address workforce and Human Resources (HR) challenges, delivering measurable business impact. 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 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, API management, pipelines, and model drift detection. Design, build, and operationalize NLP, LLM, and Retrieval‑Augmented Generation platforms and pipelines for HR use cases in production environments. Build scalable systems that meet SLA/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 governance teams. Translate complex analyses into concise recommendations for HR leaders and executives. Basic Qualifications Bachelor’s degree or higher. 10+ years of experience in full stack development. 10+ years of programming experience. 5+ years of experience developing or deploying analytical models, forecasts, or automations. Experience with AI hardware and software integration. Experience with AI and Machine Learning technologies, including integrating AI‑driven insights into data architecture and analytics processes. Experience handling data and systems involving machine learning or predictive analytics. Preferred Qualifications 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 Human Resource Management Systems (HRMS), PeopleSoft, Taleo, etc., and Microsoft Office tools. Experience building, implementing, and deploying Infrastructure as Code (IaC) using major cloud providers (AWS, Azure, GCP). Experience in production‑grade Python coding (modular design, testing, packaging), version control (Git), and collaboration with DevOps/CI/CD workflows, API management, and containerization. Experience with data engineering and infrastructure, including ETL, feature engineering, data warehouses/lakes, and modern cloud platforms (Apache Spark, dbt, Airflow, or equivalents). Experience with machine learning and generative AI systems and tooling, including model registries and lifecycle tools (MLflow, Terraform, etc.); experience developing LLMs and maintaining RAG systems with vector databases and embedding pipelines. Strong SQL skills, Python, and 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. Benefits Competitive base pay ranging from $172,550 to $249,550, variable compensation opportunities, health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance, and paid and unpaid time off. Relocation support may be provided based on candidate eligibility. 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, disability, or any protected characteristic. #J-18808-Ljbffr