Principal AI Architect
New
J
JobgetherTechnology
Based in the United StatesFull-TimePrincipal
Salary165,604 - 228,491 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 8+ years of experience in software engineering, with at least 5 years in technical leadership, architecture, or other senior engineering roles.
- Required Skills
- AWSPythonArtificial IntelligenceGCPKubernetesMachine LearningAzureCI/CD
Requirements
- 8+ years of experience in software engineering, with at least 5 years in technical leadership, architecture, or other senior engineering roles.
- Deep expertise in cloud platforms (AWS, Azure, GCP) and cloud-native architecture.
- Strong background designing distributed systems using microservices, serverless, Kubernetes, Docker, and event-driven architectures.
- Proven experience with infrastructure as code and CI/CD practices (Terraform, CloudFormation, Pulumi, GitHub Actions).
- Extensive data architecture experience including PostgreSQL, MongoDB, Snowflake, BigQuery, Spark, and Kafka.
- Experience with data modeling, ETL/ELT pipelines, streaming architectures, and orchestration (Airflow, Prefect, dbt).
- Strong experience designing and delivering production AI/ML systems, including LLM applications, MLOps, model serving, and agentic architectures.
- Familiarity with AI/ML tools such as SageMaker, Vertex AI, MLflow, Hugging Face, PyTorch, or TensorFlow.
- Strong software engineering capabilities, particularly with Python, APIs, distributed services, and containerized applications.
- Solid understanding of cloud networking, security, identity and access management, and compliance frameworks.
- Demonstrated experience leading complex technical initiatives and mentoring senior engineers.
- Excellent stakeholder management and communication skills.
Responsibilities
- Define technical strategy and lead the end-to-end architecture of complex systems spanning cloud infrastructure, data platforms, AI/ML workloads, and enterprise applications.
- Architect scalable cloud-native, multi-cloud, and hybrid solutions using technologies such as AWS, Azure, GCP, Kubernetes, containers, serverless platforms, and event-driven architectures.
- Lead the design of production AI and machine learning systems, including LLM-based applications, agentic systems, model serving, MLOps pipelines, and evaluation frameworks.
- Drive architectural decisions that optimize system performance, scalability, cost efficiency, security, and long-term maintainability.
- Serve as the senior technical voice in discussions with leadership and clients, translating complex technical concepts into clear recommendations.
- Mentor experienced engineers and architects, helping strengthen technical judgment and leadership capabilities.
- Own the most complex architectural and integration challenges, making high-stakes technical decisions and resolving critical system design issues.
View Full Description & ApplyYou'll be redirected to the employer's site
