Ai Senior Solutions Architect

Position: AI SENIOR SOLUTIONS ARCHITECT
## AI SENIOR SOLUTIONS ARCHITECTApplylocations:
Alpharetta - HQtime type:
Full time posted on:
Posted 7 Days Agojob requisition :
R-100526
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* Job Description:

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Key Responsibilities ## AI & Enterprise Application Strategy
* Define an AI/ML adoption roadmap across ERP, CRM, HRIS, BI, and custom applications.
* Translate strategic objectives into use-case-driven AI initiatives, leveraging GenAI capabilities for tangible business value.
* Advise IT leadership on emerging AI trends, frameworks, and platform innovations (e.g., LLM orchestration, multi-modal AI).## Architecture & Integration
* Architect end-to-end AI solutions in Microsoft Azure AI, integrating with enterprise systems via REST APIs, Graph

QL, and event-driven architectures.
* Ensure compatibility with solutions running in AWS Sage Maker and hybrid-cloud deployments.
* Assist with design data ingestion and preparation pipelines.## CI/CD, MLOps & Team Leadership
* Lead a team of engineers and data scientists in delivering complex AI projects (e.g., document intelligence, NLP chatbots, predictive analytics, RPA workflows).
* Implement MLOps practices and CI/CD pipelines using Git Hub Actions for AI model lifecycle management.
* Establish model monitoring, retraining schedules, and drift detection with frameworks like MLflow and Kubeflow.## Project Delivery
* Own AI project delivery from PoC to production, ensuring robust governance, risk management, security, and compliance.
* Deploy scalable models in Azure AI Studio and product ionize via APIs or microservices in Kubernetes/AKS.## Stakeholder & Vendor Engagement
* Collaborate with Business Analysts, Product Owners, Developers, and Data Engineers to ensure solutions meet functional and performance requirements.
* Partner with external AI vendors, cloud providers, and technology partners to align on deliverables and integrations.## Technical Excellence
* Hands-on evaluation and selection of AI/ML frameworks (PyTorch, Tensor Flow, scikit-learn) and GenAI orchestration tools (Lang Chain, Semantic Kernel).
* Review and approve solution architecture and code for scalability, efficiency, and security compliance.
* Mentor and develop team members through training on AI frameworks, cloud development practices, and architectural patterns.## Governance & Security
* Assist with implementation of AI-specific data governance, privacy policies, and responsible AI principles.
* Ensure compliance with standards and regulations (GDPR, SOC 2, ISO 27001) and practices such as OAuth2, SAML, RBAC/ABAC, encryption-at-rest/in-transit.## Innovation
* Initiate and lead rapid Proofs of Concept (PoCs) and Minimum Viable Products (MVPs) using AI and GenAI for streamlined business processes.
* Explore and pilot new AI features in LLMs, vision models, speech-to-text, translation, and personalization engines.#

Required Qualifications
* Bachelor's or Master's degree in Computer Science, Data Science, AI/ML Engineering, or a related technical field.
* 5+ years in enterprise IT/applications management with at least 5+ years in AI/ML solution delivery in production environments.
* Proven track record leading cross-functional technical teams on complex AI/ML projects in diverse, matrixed enterprise environments.
* Deep experience with enterprise application platforms including CRM (Salesforce), ERP (Net Suite, SAP, Oracle), HRIS (Workday), and PSA/Billing (Certinia).
* Demonstrated expertise in GenAI, NLP, RPA, predictive modeling, computer vision, and recommendation systems.
* Strong understanding of enterprise integration patterns, event-driven architecture, and data engineering principles.
* Experience working in regulated or compliance-sensitive environments (SOC 2, GDPR, ISO 27001).
* Ability to balance hands-on technical delivery with strategic planning and executive-level communication.
* Strong project ownership and accountability with experience in end-to-end delivery from requirements through post-production support.# Technical Requirements## Languages & Frameworks
* Advanced Python proficiency including async patterns, data manipulation (pandas, Num Py), and REST API development (FastAPI, Flask).
* Working knowledge of Java, C#, or Go for…