AI Solution Architect

Hi ,

 

Hope you are doing well.

My name is Vishal Singh and I am a Staffing Specialist at “Galaxy I Tech”. I am reaching out to you on an exciting job opportunity with one of our clients.

 

 

Remote role

AI Solution Architect

• 8+ years of experience in enterprise application development, solution architecture, integration architecture, cloud architecture, or related technical disciplines.
• 3+ years of solution architecture or technical leadership experience designing complex enterprise solutions.
• Hands-on experience designing or implementing Generative AI, conversational AI, intelligent automation, or AI-agent solutions.
• Strong knowledge of Microsoft 365 Copilot, Microsoft Copilot Studio, Power Platform, Power Automate, Azure AI services, and related Microsoft technologies.
• Strong knowledge of ServiceNow AI capabilities, including Now Assist, AI Agent Studio, AI agents, agentic workflows, and integration with the ServiceNow platform.
• Strong understanding of LLMs, prompt engineering, RAG, grounding, embeddings, enterprise knowledge architectures, agent orchestration, and multi-agent patterns.
• Strong enterprise integration knowledge, including REST APIs, Microsoft Graph, connectors, OAuth, event-driven integrations, and MCP.
• Experience designing secure integrations between AI solutions and enterprise applications, data platforms, APIs, and knowledge repositories.
• Strong knowledge of cloud architecture, identity and access management, data security, privacy, DLP, AI security, Responsible AI, and governance.
• Experience designing Dev/Test/Production architecture, application lifecycle management, source control, CI/CD, monitoring, and operational support models for AI solutions.
• Ability to evaluate competing AI technologies and determine when to use agentic AI, conventional workflow automation, platform capabilities, or traditional application development.
• Working knowledge of ITSM processes and service management principles; ITIL Foundation certification preferred.
• Understanding of SIAM, multi-provider environments, governance, collaboration, service performance, and contractual accountability preferred.
• Microsoft certifications related to Azure AI, solution architecture, Power Platform, or related technologies preferred.
• ServiceNow certifications or credentials related to platform development, architecture, or AI preferred.
• Strong written and verbal leadership communication skills with the ability to communicate complex architecture, risks, recommendations, and technical strategies to technical and leadership audiences.
• Strong presentation skills and proficiency with Microsoft Word, Excel, and PowerPoint.
• Strong partnership and governance skills with the ability to work across business, process, architecture, security, data, platform, and development teams.
• Demonstrated technical thought leadership with the ability to establish direction, challenge proposed approaches, mentor developers, and drive architectural decisions.
• Ability to work independently, establish priorities, manage multiple projects and technical workstreams, and deliver results with limited supervision.


Roles & Responsibilities

•Define and maintain the AI solution architecture, technical standards, design patterns, and integration approach supporting SIAM and ITSM.
•Provide architectural and technical oversight for the Enterprise AI & Copilot Developer and Senior ServiceNow AI Developer.
•Work with SMO Global Process Owners and SIAM Leads to identify, assess, prioritize, and architect AI opportunities that improve service management and SIAM capabilities.
•Determine the appropriate technology and architecture for AI use cases, including Microsoft 365 Copilot, Copilot Studio, ServiceNow AI, Azure AI services, custom AI solutions, and supporting enterprise technologies.
•Design architectures for AI agents, multi-agent solutions, orchestration, enterprise knowledge, RAG, workflows, APIs, connectors, MCP integrations, and other enterprise integration patterns.
•Establish reusable AI architecture patterns and capabilities to reduce duplication and improve consistency across solutions.
•Provide guidance on LLM selection, grounding, knowledge sources, agent design, context management, tool use, human-in-the-loop controls, and integration approaches.
•Ensure AI solutions integrate securely with enterprise systems, applications, data sources, knowledge repositories, and automation platforms.
•Establish architecture requirements for identity, access management, data protection, privacy, security, auditability, Responsible AI, and AI governance.
•Review solution designs and provide technical guidance throughout development, testing, deployment, and production implementation.
•Ensure appropriate testing and evaluation approaches are established for AI accuracy, reliability, security, performance, and expected business outcomes.
•Identify technical risks, architecture gaps, dependencies, and limitations and recommend appropriate mitigation strategies.
•Partner with enterprise architecture, security, data, Microsoft, ServiceNow, and other technology teams to align AI solutions with enterprise standards.
•Develop and maintain the technical AI roadmap for SIAM/SMO, including current capabilities, planned solutions, reusable components, dependencies, and future technology opportunities.
•Evaluate emerging AI technologies and recommend where they can provide measurable value while avoiding unnecessary tools, duplication, or technical complexity.
•Provide technical thought leadership, mentoring, and architectural guidance to AI developers and other technical resources.


Skills: Solution and Functional Architect (SAFA)
Experience Required: 10 & Above