Domain\Technical Architect
Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026.
Job Summary
AI & Automation Consultant - PredictX (Agentic Operations).
Band: E4 Location: India (hybrid) Practice: ACS - WPU Consulting
- 8+ years in enterprise IT, including at least 3 years in automation, AIOps or digital workplace engineering or consulting
- Hands-on experience deploying platforms that integrate with enterprise data sources via APIs, such as Microsoft Graph, Intune, SCCM/MECM, Entra ID, Defender XDR, ServiceNow, Nexthink and Teams call-quality data
- Practical working knowledge of LLMs and agentic AI: agent and prompt design, tool/function calling, multi-agent orchestration, retrieval (RAG) and evaluating the quality of AI outputs
- Automation skills in PowerShell and Python and tools such as Power Automate or Logic Apps; Azure experience (app registrations, Azure OpenAI / AI Foundry)
- Good understanding of ITIL incident, problem and change processes, and how human-in-the-loop approvals, rollback and audit fit change governance
- Awareness of responsible AI, data privacy and security considerations when connecting AI agents to customer tenants
- Able to build convincing demos and proofs of value quickly; web front-end skills (React/TypeScript) an advantage
- Pre-sales experience: discovery workshops, solution design, effort estimation and written responses to RFIs/RFPs
- Confident with senior and C-level stakeholders, translating technical capability into business outcomes (tickets avoided, hours returned, SLA and experience improvements)
- Commercial awareness to support renewals, expansions and value reviews
- Strong presentation, documentation and storytelling skills; works well with sales, product and engineering teams across time zones
- Desirable certifications: Azure AI Engineer (AI-102), Azure Administrator, ServiceNow, ITIL 4
This is a customer-facing role at the heart of PredictX, HCLTech’s agentic AI platform for the digital workplace. PredictX senses issues across tools such as Intune, SCCM, Nexthink, Defender and ServiceNow, finds the root cause, recommends fixes and, with human approval, acts and learns from the outcome. The successful candidate will own PredictX deployments end to end: running discovery, connecting data sources and agents to the customer environment, configuring use-cases, approvals and guardrails, and proving measurable value before handover to run teams.
Equally important is driving innovation and new business. The candidate will spot new use-cases in customer data (for example patch compliance, meeting-room readiness, predicted hardware failure or ticket deflection), shape them into demos and proofs of value, and present them in pre-sales meetings. They will contribute solution content, architecture and estimates to RFIs and RFPs, support renewals with evidence of value delivered, and be confident leading conversations with CIOs and other senior stakeholders as the authority in the room.
The role is based in India with hybrid office and home working, and may require travel to customer locations. It works closely with UK-based practice leadership and European customers, so some overlap with UK/European business hours is expected. Clear communication with onshore and offshore teams is vital, as is a grasp of project management principles.
Key Responsibilities
AI & Automation Consultant - PredictX (Agentic Operations).
Band: E4 Location: India (hybrid) Practice: ACS - WPU Consulting
- 8+ years in enterprise IT, including at least 3 years in automation, AIOps or digital workplace engineering or consulting
- Hands-on experience deploying platforms that integrate with enterprise data sources via APIs, such as Microsoft Graph, Intune, SCCM/MECM, Entra ID, Defender XDR, ServiceNow, Nexthink and Teams call-quality data
- Practical working knowledge of LLMs and agentic AI: agent and prompt design, tool/function calling, multi-agent orchestration, retrieval (RAG) and evaluating the quality of AI outputs
- Automation skills in PowerShell and Python and tools such as Power Automate or Logic Apps; Azure experience (app registrations, Azure OpenAI / AI Foundry)
- Good understanding of ITIL incident, problem and change processes, and how human-in-the-loop approvals, rollback and audit fit change governance
- Awareness of responsible AI, data privacy and security considerations when connecting AI agents to customer tenants
- Able to build convincing demos and proofs of value quickly; web front-end skills (React/TypeScript) an advantage
- Pre-sales experience: discovery workshops, solution design, effort estimation and written responses to RFIs/RFPs
- Confident with senior and C-level stakeholders, translating technical capability into business outcomes (tickets avoided, hours returned, SLA and experience improvements)
- Commercial awareness to support renewals, expansions and value reviews
- Strong presentation, documentation and storytelling skills; works well with sales, product and engineering teams across time zones
- Desirable certifications: Azure AI Engineer (AI-102), Azure Administrator, ServiceNow, ITIL 4
This is a customer-facing role at the heart of PredictX, HCLTech’s agentic AI platform for the digital workplace. PredictX senses issues across tools such as Intune, SCCM, Nexthink, Defender and ServiceNow, finds the root cause, recommends fixes and, with human approval, acts and learns from the outcome. The successful candidate will own PredictX deployments end to end: running discovery, connecting data sources and agents to the customer environment, configuring use-cases, approvals and guardrails, and proving measurable value before handover to run teams.
Equally important is driving innovation and new business. The candidate will spot new use-cases in customer data (for example patch compliance, meeting-room readiness, predicted hardware failure or ticket deflection), shape them into demos and proofs of value, and present them in pre-sales meetings. They will contribute solution content, architecture and estimates to RFIs and RFPs, support renewals with evidence of value delivered, and be confident leading conversations with CIOs and other senior stakeholders as the authority in the room.
The role is based in India with hybrid office and home working, and may require travel to customer locations. It works closely with UK-based practice leadership and European customers, so some overlap with UK/European business hours is expected. Clear communication with onshore and offshore teams is vital, as is a grasp of project management principles.
Skill Requirements
AI & Automation Consultant - PredictX (Agentic Operations).
Band: E4 Location: India (hybrid) Practice: ACS - WPU Consulting
- 8+ years in enterprise IT, including at least 3 years in automation, AIOps or digital workplace engineering or consulting
- Hands-on experience deploying platforms that integrate with enterprise data sources via APIs, such as Microsoft Graph, Intune, SCCM/MECM, Entra ID, Defender XDR, ServiceNow, Nexthink and Teams call-quality data
- Practical working knowledge of LLMs and agentic AI: agent and prompt design, tool/function calling, multi-agent orchestration, retrieval (RAG) and evaluating the quality of AI outputs
- Automation skills in PowerShell and Python and tools such as Power Automate or Logic Apps; Azure experience (app registrations, Azure OpenAI / AI Foundry)
- Good understanding of ITIL incident, problem and change processes, and how human-in-the-loop approvals, rollback and audit fit change governance
- Awareness of responsible AI, data privacy and security considerations when connecting AI agents to customer tenants
- Able to build convincing demos and proofs of value quickly; web front-end skills (React/TypeScript) an advantage
- Pre-sales experience: discovery workshops, solution design, effort estimation and written responses to RFIs/RFPs
- Confident with senior and C-level stakeholders, translating technical capability into business outcomes (tickets avoided, hours returned, SLA and experience improvements)
- Commercial awareness to support renewals, expansions and value reviews
- Strong presentation, documentation and storytelling skills; works well with sales, product and engineering teams across time zones
- Desirable certifications: Azure AI Engineer (AI-102), Azure Administrator, ServiceNow, ITIL 4
This is a customer-facing role at the heart of PredictX, HCLTech’s agentic AI platform for the digital workplace. PredictX senses issues across tools such as Intune, SCCM, Nexthink, Defender and ServiceNow, finds the root cause, recommends fixes and, with human approval, acts and learns from the outcome. The successful candidate will own PredictX deployments end to end: running discovery, connecting data sources and agents to the customer environment, configuring use-cases, approvals and guardrails, and proving measurable value before handover to run teams.
Equally important is driving innovation and new business. The candidate will spot new use-cases in customer data (for example patch compliance, meeting-room readiness, predicted hardware failure or ticket deflection), shape them into demos and proofs of value, and present them in pre-sales meetings. They will contribute solution content, architecture and estimates to RFIs and RFPs, support renewals with evidence of value delivered, and be confident leading conversations with CIOs and other senior stakeholders as the authority in the room.
The role is based in India with hybrid office and home working, and may require travel to customer locations. It works closely with UK-based practice leadership and European customers, so some overlap with UK/European business hours is expected. Clear communication with onshore and offshore teams is vital, as is a grasp of project management principles.