Solution Architect Subcontractor
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Before you apply
LocationFL, United States
Typefull-time
SeniorityLead
Experience7+ yrs
Company size1,001–5,000 people
First seenOct 18, 2026 · 2w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
7+ years of experience in solution architecture with a focus on AI, software development, and data/cloud domains
Deep understanding of cloud platforms (AWS, Azure, GCP) and their services
Hands-on expertise in AI/ML frameworks (TensorFlow, PyTorch, or similar)
Hands-on expertise in software development languages (Python, Java, JavaScript, etc.)
Strong knowledge of modern data architectures (e.g., Data Mesh, Data Vault) and tools like Snowflake, Databricks, and BigQuery
Experience leading multidisciplinary technical teams and delivering complex projects
Exceptional communication skills to bridge technical and non-technical stakeholders
Certifications in cloud technologies (AWS Certified Solutions Architect, Azure Solutions Architect Expert, etc.)
Familiarity with DevOps practices and tools, including Kubernetes and Docker
Knowledge of emerging trends in AI, cloud computing, and data engineering
Skills
AI/ML
AWS
Azure
GCP
TensorFlow
PyTorch
Python
Java
JavaScript
Snowflake
Databricks
BigQuery
Kubernetes
Docker
About the role
We are seeking an experienced and visionary Solution Architect to lead and oversee three critical domains within our organization: AI initiatives, Software Development, and Data & Cloud solutions. This role demands a strategic thinker who can align technology capabilities with business objectives, provide technical leadership across teams, and ensure delivery of scalable, innovative, and future-proof solutions.
Key Responsibilities:
1.
AI Team and Activities
•
Lead the strategy, design, and implementation of AI/ML solutions that solve complex business challenges.
•
Provide technical oversight for AI model development, deployment pipelines, and continuous improvement.
•
Stay updated on AI trends and guide the team in adopting best practices and emerging technologies.
•
Collaborate with stakeholders to identify AI opportunities and prioritize initiatives.
2.
Software Development Team and Activities
•
Oversee the end-to-end software development lifecycle, ensuring delivery of robust, high-quality, and scalable applications.
•
Define and enforce software architecture standards, development methodologies, and coding best practices.
•
Foster cross-functional collaboration to ensure alignment between business needs and technical deliverables.
•
Lead the evaluation and integration of new frameworks, tools, and technologies.
3.
Data and Cloud Team and Activities
•
Architect and implement scalable cloud-based data platforms to support analytics, AI, and business applications.
•
Ensure the security, scalability, and efficiency of data storage, processing pipelines, and cloud infrastructure.
•
Provide guidance on adopting modern cloud technologies, including serverless computing, containerization, and CI/CD pipelines.
•
Drive data governance practices and ensure regulatory compliance.
Required Qualifications:
•
Proven experience (7+ years) in solution architecture with a focus on AI, software development, and data/cloud domains.
•
Deep understanding of cloud platforms (AWS, Azure, GCP) and their services.
•
Hands-on expertise in AI/ML frameworks (TensorFlow, PyTorch, or similar) and software development languages (Python, Java, JavaScript, etc.).
•
Strong knowledge of modern data architectures (e.g., Data Mesh, Data Vault) and tools like Snowflake, Databricks, and BigQuery.
•
Experience leading multidisciplinary technical teams and delivering complex projects.
•
Exceptional communication skills to bridge technical and non-technical stakeholders.
Preferred Skills:
•
Certifications in cloud technologies (AWS Certified Solutions Architect, Azure Solutions Architect Expert, etc.).
•
Familiarity with DevOps practices and tools, including Kubernetes and Docker.
•
Knowledge of emerging trends in AI, cloud computing, and data engineering.