Position Summary
We are seeking an experienced, hands-on Senior AI Consultant to support an AI Center of Excellence (AI COE), helping enterprise customers identify, evaluate, and implement AI-driven solutions.
This role combines AI advisory, business process analysis, hands-on proof-of-concept (POC) development, and AI product evaluation. The successful candidate will advise customers on AI adoption, develop business cases and roadmaps, and translate technical findings into actionable recommendations.
The primary focus is enterprise cybersecurity and security operations, followed by manufacturing, infrastructure, and connected services. Project delivery execution remains the responsibility of the Delivery Teams.
Key Responsibilities
· Advise enterprise customers on AI adoption strategies, use case prioritization, governance, implementation roadmaps, and ROI.
· Analyze end-to-end business processes to identify opportunities for AI, GenAI, AI Agents, and intelligent automation.
· Conduct customer workshops, technical presentations, and executive briefings.
· Design, build, and evaluate hands-on AI/GenAI POCs, defining success criteria, test scenarios, and technical recommendations.
· Evaluate AI and automation platforms, including tools such as Tines and Ignition, and provide fit-gap assessments and go/no-go recommendations.
· Support AI use cases across:
o Cybersecurity (Primary): Patch management, system hardening, SOC automation, incident response, and investigation.
o Manufacturing: Predictive maintenance, quality inspection, anomaly detection, and IoT/OT data.
o Infrastructure: AI-driven infrastructure deployment and operations.
o Connected Services: AI adoption and automation opportunities.
· Design high-level AI solution architectures using Microsoft Azure or AWS, including LLMs, RAG, and AI Agent technologies.
· Support technical proposals, POC planning, solution recommendations, and Statements of Work (SoWs).
· Develop reusable AI use cases, reference architectures, POC templates, and evaluation reports.
· Coordinate with cloud providers, AI vendors, cybersecurity technology partners, and system integrators.
· Advise on responsible AI adoption, including data protection, access controls, prompt injection, and data leakage risks.
Required Qualifications
· Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
· 8+ years of experience in IT consulting, solution architecture, or related technical roles.
· At least 3 years of hands-on experience delivering AI, GenAI, or intelligent automation solutions in production environments or customer POCs.
· Proven customer-facing experience advising on AI use case identification, business cases, roadmaps, governance, and adoption.
· Strong hands-on expertise with LLMs, RAG, prompt engineering, AI Agents, and agent orchestration.
· Experience with Microsoft Azure or AWS cloud AI services.
· Demonstrated ability to independently plan, build, test, and evaluate AI POCs and technology products.
· Experience applying AI or technology in at least one of the following domains: Cybersecurity, Manufacturing, Infrastructure, or Connected Services.
· Strong business analysis skills, including process mapping, requirements gathering, and ROI evaluation.
· Excellent communication, presentation, workshop facilitation, and stakeholder management skills.
· Ability to work independently across cross-functional and multicultural teams.
Preferred Qualifications
· Cybersecurity experience (strongly preferred): SOC operations, incident response, SIEM/XDR, Microsoft Sentinel, Microsoft Defender, Splunk, SOAR, or Tines.
· Manufacturing experience: Factory operations, MES, predictive maintenance, IoT/OT, Ignition, or SCADA.
· Experience in infrastructure operations or connected services.
· Experience with Semantic Kernel, LangChain, LangGraph, AutoGen, or Model Context Protocol (MCP).
· Experience with Microsoft Copilot Studio, Power Platform, Azure AI Foundry, Azure OpenAI, or Amazon Bedrock.
· Experience applying AI across the SDLC, including requirements, architecture, development, and quality engineering.
· Relevant certifications in Azure AI, AWS AI/ML, Data Engineering, Security+, CISSP, or CBAP.
· Experience working with Japanese organizations or in global, bilingual environments.
Ideal Candidate
A hands-on AI Consultant or AI Solutions Architect with a strong consulting background who can advise enterprise customers, analyze business processes, develop functional POCs, and recommend practical AI solutions.
Cybersecurity experience is the highest priority, particularly AI applications for patch management, system hardening, and security operations. Manufacturing AI experience is the next priority.
This is not a strategy-only consulting role. Candidates must demonstrate both customer-facing advisory capabilities and hands-on AI implementation experience.
