AI Lead – AI Architect

Kognitiv Inc.

. Contribute to the firm's commercial and technical Point of View on AI, Generative AI, and autonomous agent systems .

Posted 9/15/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI architecture and consulting, with a focus on designing scalable autonomous AI systems and developing ethical AI adoption strategies. Proficient in translating business needs into technical roadmaps while ensuring compliance with data governance and security standards.

Highest-signal resume keywords

AI ArchitectureGenerative AI ApplicationsLarge Language Model WorkflowsPython ProficiencyMLOps Tooling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI ArchitectureAutonomous AI AgentsGenerative AILarge Language ModelsPythonMLOpsData GovernanceComplianceTechnical ConsultingClient Engagement

Soft Skills

Exceptional CommunicationClient-Facing Consulting

Tools & Technologies

AWSAzureGCPLangChainAutoGenFlowiseLlamaIndexWorkdaySalesforceSAP

Industry Keywords

AIGenerative AIData SecurityGDPREthical AI

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Contribute to the firm's commercial and technical Point of View on AI, Generative AI, and autonomous agent systems
Lead executive-level client workshops to identify high-ROI AI use cases, assess organizational readiness, and develop ethical AI adoption roadmaps
Design and architect scalable, reliable multi-step autonomous AI agent systems using LLMs, vector databases, and orchestration frameworks such as LangChain and AutoGen
Translate business problems into technical roadmaps aligned with client data governance, security, and compliance requirements, including GDPR and local data laws
Partner with sales to structure, scope, and estimate complex AI consulting engagements as the subject matter expert
Establish best practices, technical standards, and quality assurance processes for AI and MLOps workflows
Serve as a senior, client-facing consultant bridging Generative AI technology and strategic client outcomes

Requirements

What you’ll need

10+ years of progressive experience in technical consulting and AI architecture
Demonstrable experience building and orchestrating autonomous AI agents, including reasoning, tool-use, and multi-step planning
Experience designing and deploying production-grade Generative AI applications and Large Language Model (LLM) workflows
Prior experience as a billable, client-facing resource in Technical Consulting or Professional Services
Expert-level proficiency in Python and relevant AI/ML frameworks
Deep understanding of AWS, Azure, or GCP and related MLOps tooling
Exceptional written and verbal communication skills, including presenting complex technical concepts to executive, non-technical audiences
Exposure to complex enterprise platforms such as Workday, Salesforce, or SAP (preferred)
Experience with low-code/no-code AI agent builder tools such as Flowise or LlamaIndex (preferred)
Must have work authorization in the employing country without current or future visa sponsorship requirements

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Kognitiv Inc. Website LinkedIn All Job Openings 201 - 500 employees 💼 Consulting ☁️ SaaS 🤝 B2B Consulting
SaaS
B2B Kognitiv Inc. is a consulting firm that specializes in providing services and solutions for Workday®, an enterprise management cloud solution. The company focuses on helping organizations optimize their Workday implementations, offering services such as project management, change management, platform optimization, and advisory services. Kognitiv is dedicated to enhancing clients' post-implementation experience, ensuring efficient system utilization and compliance. They provide solutions like custom reporting tools, staff augmentation, and integration monitoring, among others. Kognitiv's products like Rooster offer scheduling solutions integrated with Workday®, and their services aim to empower organizations with efficient, streamlined processes. AI Lead – AI Architect 🔥 3 minutes ago 🌐 United States, Spain, +6 more countries – Remote ⏰ Full Time 🟠 Senior 🤖 AI Engineer 👻 Ghost score 11% AWS Azure Google Cloud Platform Python Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Contribute to the firm's commercial and technical Point of View on AI, Generative AI, and autonomous agent systems
Lead executive-level client workshops to identify high-ROI AI use cases, assess organizational readiness, and develop ethical AI adoption roadmaps
Design and architect scalable, reliable multi-step autonomous AI agent systems using LLMs, vector databases, and orchestration frameworks such as LangChain and AutoGen
Translate business problems into technical roadmaps aligned with client data governance, security, and compliance requirements, including GDPR and local data laws
Partner with sales to structure, scope, and estimate complex AI consulting engagements as the subject matter expert
Establish best practices, technical standards, and quality assurance processes for AI and MLOps workflows
Serve as a senior, client-facing consultant bridging Generative AI technology and strategic client outcomes 🎯 Requirements
10+ years of progressive experience in technical consulting and AI architecture
Demonstrable experience building and orchestrating autonomous AI agents, including reasoning, tool-use, and multi-step planning
Experience designing and deploying production-grade Generative AI applications and Large Language Model (LLM) workflows
Prior experience as a billable, client-facing resource in Technical Consulting or Professional Services
Expert-level proficiency in Python and relevant AI/ML frameworks
Deep understanding of AWS, Azure, or GCP and related MLOps tooling
Exceptional written and verbal communication skills, including presenting complex technical concepts to executive, non-technical audiences
Exposure to complex enterprise platforms such as Workday, Salesforce, or SAP (preferred)
Experience with low-code/no-code AI agent builder tools such as Flowise or LlamaIndex (preferred)
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