4517 Solution Architect Salesforce jobs in Mckinney,TX

Lead Software Engineer - Salesforce

JPMorgan Chase &

Plano, TX 75025

Keurig Dr Pepper

Frisco, TX 75033

Typically 10+ years of experience in at least three disciplines, such as business, information, solution, or technical architecture, application development, middleware, information analysis, database management, or operations
Experience in working in multiple, diverse technologies and processing environments.
Native-level proficiency/fluent in English
Bachelor's degree in a related field or equivalent experience.
Experience with DevOps and Agile technology environments (preferred)
3–5 years of IT experience including Salesforce architecture, design, and delivery.
Experience integrating Salesforce with ERP, DSD, route accounting, and analytics platforms or similar ecosystems (preferred)
Typically 10 – 12+ years of experience in IT and business/industry including strategic and operations planning
Master's or Bachelor's degree in related field (e.g., Computer Science, Computer Engineering, Electrical Engineering, Information Technology, System Analysis, etc.) or equivalent combination of education and work experience

Cognizant

Allen, TX 75013

Willing to travel to client location on a need basis
Deep Expertise in Agentic AI: Proven experience designing multi-agent systems, implementing RAG (Retrieval-Augmented Generation), and utilizing framework patterns (e.g., ReAct) within the Microsoft stack.
Governance & Security: Establish frameworks for Responsible AI, ensuring data privacy, role-based access control (RBAC), and compliance within the Microsoft Entra ID environment.
Agentic AI Development: Build autonomous agents capable of multi-turn reasoning and tool calling by integrating Azure OpenAI models with Power Automate flows.
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.
Azure AI: Experience with Azure AI Search (vector databases), Azure OpenAI Service, and Document Intelligence.
Integration: Architect complex integrations between AI agents and enterprise systems (ERP, CRM) using custom connectors and API management.
Establish technical governance, define standards and frameworks to manage tenants, environments, users, COE Kits, and drive best practices
Copilot Studio: Advanced configuration, topic design, and extending Copilots with custom plugins.
Legacy Automation Integration: Ability to integrate modern AI agents with existing RPA initiatives.
Power Platform: Ability to provide oversight as well as set up the Microsoft Power Platform environments and related technologies