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Who you'll be:
The Cloud Solutions Architect (AI Integration) provides expert leadership in designing and guiding secure, scalable cloud and hybrid technology solutions that support advanced AI capabilities. This role shapes long-term architecture strategies, ensures systems work reliably across multiple environments, and helps the organization safely adopt modern AI and cloud technologies.
What you'll do:
Lead the design of secure cloud and hybrid architectures that support AI workloads and enterprise systems.
Develop technology roadmaps and standards that guide long-term cloud and AI strategy.
Ensure systems across cloud, on-premise, and multi-enclave environments integrate smoothly and securely.
Establish best practices for automation, Infrastructure as Code, and DevSecOps processes.
Support governance for AI models and data to ensure compliance and responsible use.
Evaluate emerging technologies and recommend solutions that enhance performance and security.
Guide modernization and cloud migration efforts across legacy environments.
Advise leadership on technical risks, opportunities, and strategic decisions.
What you need:
In-house custom developed application
Advanced AI, GenAI & Multi-Model Engineering
Multi-model and multi-modality orchestration (reasoning, perception, memory, tool execution)
Temporal, spatial, geographic, quantitative, and computer vision AI implementation
Named Entity Recognition (NER), contextual entity extraction, and resolution
Multi-step retrieval and structured output generation
Complex data parsing and streamlined ingestion
Deep source citation and traceable analytic outputs
Data Architecture & ETL
Vector, graph, and multi-database orchestration
Automated ETL pipeline creation, scheduling, and optimization
Attribute-Based Access Control (ABAC) at the data layer
Provenance and end-to-end data lineage tracking
Schema aligned ingestion and normalization of diverse structured and unstructured data
Enterprise Infrastructure & Cross-Domain Solutions
Air-gapped, hybrid, and on-premise operational environments
Container orchestration and distributed systems management (Kubernetes)
Locally hosted GPU servers and hyperconverged nodes
Multitenant Cross-Domain Solutions (CDS)
Application Development & Integration
UI, backend, and middleware engineering (TypeScript, React, Python, FastAPI, LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, Kubernetes)
Integration of reasoning components, retrieval systems, databases, and AI / GenAI services
Use of modern programming languages and frameworks
Bachelor's degree
10+ years of experience in cloud architecture, engineering, or related technical leadership roles.
Deep expertise with major cloud platforms and hybrid/on-prem environments.
Strong understanding of secure architecture frameworks, including zero trust.
Experience supporting AI/ML workloads and high-performance compute environments.
Proficiency with Infrastructure as Code and DevSecOps toolsets.
Strong communication skills and ability to translate technical concepts for leadership.
Nice to have:
Experience in classified or multi-enclave environments.
Cloud architecture certifications (e.g., Azure, AWS, GCP).
Background with…