successfactors
Technical Specialist (165404)
HCLTech
USA
Full-time
Senior · 5+ years experience
Onsite
Discovered Today
Microsoft Copilot StudioClaudeAWS BedrockAWS AgentcoreMicrosoft Graph APIREST APIs
Free
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Microsoft Copilot StudioClaudeAWS Bedrock
Key Skills for This Role
Microsoft Copilot StudioClaudeAWS BedrockAWS AgentcoreMicrosoft Graph APIREST APIs
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ESSENTIAL FUNCTIONS
· Develop complex Agentic AI solutions in an Agile environment as part of a global team of engineers, architects, designers, and product experts.
· Design, develop, and deploy AI agents, and intelligent workflows using Microsoft Copilot Studio, Claude APIs, and enterprise AI platforms.
· Conduct and lead technical design discussions across multiple technology disciplines to propose viable AI and automation solutions to complex business problems.
· Develop and build strong relationships across the business to effectively influence and accomplish strategic objectives.
· Assist on-shore and off-shore teams with issues requiring expertise in AI agent orchestration, prompt engineering, enterprise integrations, and cloud-native architecture. Mentor and develop new or less experienced team members.
· Liaise between software engineering teams and production support to facilitate operational readiness. Provide required support for escalated issues and AI solution defects.
· Work with engineering and testing teams to coordinate non-production deployments and AI solution validation activities.
· Partner with Release Management teams for production deployments of AI-powered capabilities.
· Partner with SaaS platform providers and AI vendors to deliver program capabilities.
· Coordinate enterprise changes and integrations impacting AI agents, knowledge sources, APIs, and enterprise systems.
· Oversee AI governance, Responsible AI practices, security reviews, and compliance processes.
· Analyze application logs and telemetry (Splunk, CloudWatch, AppDynamics, ArgoCD, Copilot analytics, AI monitoring tools) to identify root causes and optimize AI solution performance.
· Create monitoring, observability, alerts, and operational dashboards for AI solutions.
· Build and maintain deployment, release, and governance processes for AI platforms and agentic solutions.
· Design and implement Retrieval-Augmented Generation (RAG) architectures and integrate enterprise knowledge sources.
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