Automation Architect

Vy Systems
Jackson Township, United States of America
19 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Jackson Township, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Software as a Service
Cloud Computing
Collaborative Software
Continuous Integration
Identity and Access Management
Information Technology Operations
Knowledge Management
Salesforce
Systems Integration
Workflow Management Systems
Scripting (Bash/Python/Go/Ruby)
Enterprise Software Applications
Chatbots
Large Language Models
Multi-Agent Systems
Prompt Engineering
Model Validation
Software Troubleshooting
AI Platforms
Information Technology
Enterprise Integration
Integration Frameworks
Virtual Agents
REST
Automation Anywhere
ServiceNow

Job description

We are seeking a customer-facing Senior Solutions Architect with expertise in Agentic AI, IT automation, and enterprise workflow platforms such as Aisera AskIT, Krsip.ai, Yellow.ai, Automation Anywhere, or similar AI-driven automation technologies. This role will partner closely with Sales, Customer Success, and enterprise customers to design and deliver AI-powered automation solutions that improve operational efficiency, employee experience, and IT service management outcomes., * Partner with Sales teams during customer engagements, workshops, demos, and solution discussions.

  • Design and architect enterprise Agentic AI and automation solutions aligned to customer business objectives.
  • Lead technical discovery sessions and translate customer requirements into scalable solution architectures.
  • Support deployments and integrations involving ITSM, HR, CRM, knowledge management, and workflow automation platforms.
  • Provide expertise in AI-driven service desk automation, virtual agents, workflow orchestration, and self-healing operations.
  • Work directly with customers to drive adoption, value realization, and operational transformation initiatives.
  • Collaborate with engineering and product teams to communicate customer feedback and enhancement opportunities.
  • Assist with RFPs, solution proposals, architecture documentation, and executive presentations.
  • Support integrations with platforms such as ServiceNow, Freshworks, Microsoft Teams, Salesforce, Azure, AWS, and enterprise collaboration tools.
  • Serve as a trusted advisor to both technical and executive stakeholders.

Requirements

The ideal candidate combines strong technical architecture skills with executive-level communication, consultative selling experience, and hands-on implementation expertise across AI, automation, cloud, and ITSM ecosystems., * Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.

  • 10+ years of experience in enterprise architecture, automation, AI platforms, or pre-sales consulting roles.
  • Strong hands-on experience with AI automation platforms such as Aisera, Automation Anywhere, ServiceNow AI, or similar technologies.
  • Experience integrating enterprise systems including ITSM, CRM, identity management, and collaboration platforms.
  • Strong understanding of Agentic AI, conversational AI, workflow orchestration, and automation frameworks.
  • Experience with AWS and/or Microsoft Azure cloud environments.
  • LLM / GenAI Engineering: Advance Prompt Engineering, Model selection & routing and RAG pipeline
  • Designing end-to-end AI platforms, multi-agent enterprise workflows and driving AI adoption strategy
  • Strong customer-facing presentation, communication, and consulting skills.
  • Experience supporting enterprise sales cycles and working alongside account executives and customer success teams.
  • Ability to communicate effectively with both technical teams and executive leadership.
  • Strong troubleshooting, solution design, and integration experience., * Experience with enterprise observability, IT operations, or digital employee experience platforms.
  • Preferred certification Azure AI (AI-102 / AI-300 path), AWS AI / ML certifications, Google AI / Vertex AI
  • Familiarity with CRM / ERP / M365 / third party SaaS integration
  • Familiarity with REST APIs, scripting, automation workflows, and integration frameworks.
  • Knowledge of AI governance, security, and enterprise operational best practices.
  • Experience in LLM operations with CI/CD pipeline, evaluation and monitoring

Key Competencies

  • Customer engagement and executive communication
  • Solution architecture and consultative selling
  • AI and automation strategy
  • Cross-functional collaboration
  • Enterprise integration expertise
  • Problem-solving and innovation mindset

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