Staff Cloud and AI Solutions Architect
General Motors1 day ago
Base Salary
$189k - $291k/yr
Responsibilities
- Define the target architecture for scalable mapping data foundations, including data models, storage, ingestion and transformation pipelines, APIs, metadata, lineage, quality controls, governance, and delivery.
- Build and scale reusable cloud-native services and solutions supporting the availability, performance, security, and cost efficiency of mapping databases.
- Establish data contracts, validation frameworks, observability, and operational standards for trustworthy and discoverable mapping data.
- Design and implement infrastructure-as-code, automated deployment, containerized services, monitoring, and production-readiness practices.
- Identify and deliver AI-enabled engineering workflows for data discovery, technical search, map-data analysis, validation, diagnostics, release readiness, incident triage, and productivity.
- Design and productionize knowledge-grounded agentic AI solutions using approved documentation, code, metadata, telemetry, and operational knowledge.
- Define operating patterns for retrieval, tool use, orchestration, access controls, evaluation, observability, human oversight, and safe agent deployment.
- Create reusable cloud, data, and AI frameworks and reference implementations that can be adopted across teams.
- Lead architecture discussions, design reviews, and technical workshops; resolve cross-team technical boundaries and mentor engineers.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Data Engineering, Artificial Intelligence, or a related technical field; equivalent practical experience may be considered.
- 10+ years of professional software engineering experience building and operating production systems.
- Demonstrated senior technical leadership across architecture, design, implementation, and production operations.
- Strong experience with cloud-native and distributed systems, scalable services, asynchronous or event-driven workflows, data-intensive applications, and reliability engineering.
- Hands-on experience with at least one major cloud platform, such as Azure, AWS, or Google Cloud Platform.
- Experience with infrastructure as code, containers or Kubernetes, automated testing, observability, cloud security, and production operations.
- Strong programming experience in Python, Go, Java, C++, or a comparable production language.
- Experience designing data platforms, data services, or large-scale data pipelines, including modeling, storage, transformation, APIs, data quality, and governance.
- Experience applying AI, machine learning, generative AI, retrieval-augmented generation, or workflow automation to practical engineering or business problems.
- Understanding of agentic AI and multi-step workflows, including tool integration, retrieval, orchestration, evaluation, monitoring, and access control.
- Preferred experience with automotive, software-defined vehicles, ADAS, autonomous driving, mapping, geospatial systems, robotics, simulation, or other safety- and scale-sensitive domains.
- Preferred experience with Azure, Databricks, Terraform, Kubernetes, Spark or PySpark, Kafka, data-lake or lakehouse architectures, vector databases, semantic search, knowledge graphs, metadata platforms, or knowledge-grounded AI applications.
- Ability to influence technical direction across teams without formal authority and communicate complex decisions to technical and non-technical stakeholders.
Benefits
- Health and wellbeing programs including medical, dental, vision, Health Savings Account, and Flexible Spending Accounts.
- Retirement savings plan, sickness and accident benefits, life insurance, paid vacation and holidays, tuition assistance, and employee assistance program.
- GM vehicle discounts.
- The posting states that compensation varies by factors including location, role, and candidate qualifications, with benefits available from day one.
Tech Stack
Categories
About General Motors
General Motors designs, manufactures, and sells cars, trucks, and electric vehicles for consumers and commercial fleets under brands including Chevrolet, GMC, Cadillac, and Buick. A public company on the NYSE headquartered in Detroit and founded in 1908, it operates globally and is developing EVs on its Ultium battery platform. Revenue comes from vehicle and parts sales, connected services such as OnStar, and financing through GM Financial.