AI Lead – Agentic AI Consultant

qode.world

AI Lead designing and delivering enterprise-grade Agentic AI solutions for Fortune 500 clients. Leading a high-performing team and shaping AI methodology.

Posted 4/30/2026full-timeCharlotte • New York, North Carolina • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Architect and lead delivery of Agentic AI systems using frameworks such as LangGraph, AutoGen, CrewAI, or custom orchestration layers on Azure / AWS / GCP.
Design multi-agent pipelines incorporating reasoning, planning, tool-use, memory, and feedback loops tailored to enterprise workflows.
Partner with C-suite and senior stakeholders to translate ambiguous business challenges into well-scoped AI roadmaps and delivery plans.
Conduct AI readiness assessments, data audits, and opportunity prioritization workshops for prospective clients.
Define reference architectures for RAG, tool-augmented agents, AI gateways, and human-in-the-loop workflows.
Drive responsible AI governance — including bias audits, hallucination mitigation, prompt-injection hardening, and model risk frameworks.
Establish engineering best practices: CI/CD for ML, LLMOps, evaluation harnesses, and performance benchmarking.
Stay at the cutting edge — evaluate emerging models (GPT-o3, Claude 3.x, Gemini Ultra, open-source LLMs) and tooling for fit-for-purpose applicability.
Originate and expand client relationships; contribute to proposals, RFP responses, and Statements of Work.
Build and scale the agentic AI practice — create reusable accelerators, IP assets, and delivery playbooks.
Mentor and develop a team of AI engineers, ML scientists, and business analysts; conduct performance reviews and career development planning.
Represent the firm at conferences, publish thought-leadership content, and contribute to the external AI community.

Requirements

What you’ll need

8+ years of overall technology experience with at least 3 years focused on AI / ML systems in a consulting, product, or enterprise engineering capacity.
Proven hands-on experience designing and deploying LLM-based applications and autonomous agent systems in production environments.
Proficiency in Python and relevant AI/ML libraries (LangChain, LlamaIndex, Hugging Face Transformers, PyTorch / TensorFlow).
Deep familiarity with vector databases (Pinecone, Weaviate, pgvector), semantic search, and knowledge graph integration.
Experience with cloud AI platforms: Azure OpenAI Service, AWS Bedrock, or Google Vertex AI.
Strong understanding of prompt engineering, fine-tuning (LoRA, QLoRA, RLHF), and model evaluation methodologies.
Exceptional executive communication skills — ability to present complex AI concepts to non-technical senior leadership.
Bachelor's or Master's degree in Computer Science, Data Science, AI, Engineering, or a closely related field.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account qode.world Website LinkedIn All Job Openings 11 - 50 employees 🤖 Artificial Intelligence 👥 HR Tech 🎯 Recruiter Artificial Intelligence
HR Tech
Recruitment qode. world is a company that leverages artificial intelligence to revolutionize the recruiting process. Their platform allows users to find candidates by sourcing data from billions of data points worldwide and provides data-driven insights. Users can connect with candidates directly through the platform, conduct customized AI-led interviews, and get comprehensive assessments. The service also integrates easily with LinkedIn, enhancing the talent pool and facilitating direct communication with candidates listed there. Qode. world offers additional recruiting services to assist in hiring for niche or senior roles. They are praised for their effectiveness in streamlining the hiring process and delivering quick results. AI Lead – Agentic AI Consultant 🔥 38 minutes ago 🏢🏡 Charlotte – Hybrid ⏰ Full Time 🟠 Senior 🤖 AI Engineer AWS Azure Cloud Google Cloud Platform Python PyTorch Tensorflow Apply Now Find Hiring Managers Customize resume for this job Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Architect and lead delivery of Agentic AI systems using frameworks such as LangGraph, AutoGen, CrewAI, or custom orchestration layers on Azure / AWS / GCP.
Design multi-agent pipelines incorporating reasoning, planning, tool-use, memory, and feedback loops tailored to enterprise workflows.
Partner with C-suite and senior stakeholders to translate ambiguous business challenges into well-scoped AI roadmaps and delivery plans.
Conduct AI readiness assessments, data audits, and opportunity prioritization workshops for prospective clients.
Define reference architectures for RAG, tool-augmented agents, AI gateways, and human-in-the-loop workflows.
Drive responsible AI governance — including bias audits, hallucination mitigation, prompt-injection hardening, and model risk frameworks.
Establish engineering best practices: CI/CD for ML, LLMOps, evaluation harnesses, and performance benchmarking.
Stay at the cutting edge — evaluate emerging models (GPT-o3, Claude 3.x, Gemini Ultra, open-source LLMs) and tooling for fit-for-purpose applicability.
Originate and expand client relationships; contribute to proposals, RFP responses, and Statements of Work.
Build and scale the agentic AI practice — create reusable accelerators, IP assets, and delivery playbooks.
Mentor and develop a team of AI engineers, ML scientists, and business analysts; conduct performance reviews and career development planning.
Represent the firm at conferences, publish thought-leadership content, and contribute to the external AI community. 🎯 Requirements
8+ years of overall technology experience with at least 3 years focused on AI / ML systems in a consulting, product, or enterprise engineering capacity.
Proven hands-on experience designing and deploying LLM-based applications and autonomous agent systems in production environments.
Proficiency in Python and relevant AI/ML libraries (LangChain, LlamaIndex, Hugging Face Transformers, PyTorch / TensorFlow).
Deep familiarity with vector databases (Pinecone, Weaviate, pgvector), semantic search, and knowledge graph integration.
Experience with cloud AI platforms: Azure OpenAI Service, AWS Bedrock, or Google Vertex AI.
Strong understanding of prompt engineering, fine-tuning (LoRA, QLoRA, RLHF), and model evaluation methodologies.
Exceptional executive communication skills — ability to present complex AI concepts to non-technical senior leadership.
Bachelor's or Master's degree in Computer Science, Data Science, AI, Engineering, or a closely related field. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Software Engineer – AI, GenAI Platforms 🕒 March 29 Allstate 10,000+ employees 💸 Finance Website LinkedIn All Job Openings Software Engineer developing AI/GenAI capabilities for unstructured data. Transforming data into actionable insights and autonomous AI systems for business decisions. 🏢🏡 Charlotte – Hybrid 💵 $85k - $145.1k / year 💰 Post-IPO Equity on 2014-01 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor AWS Java Kafka Python AI Developer Tools Service Manager 🕒 March 13 RTX 10,000+ employees 🚀 Aerospace Website LinkedIn All Job Openings AI Developer Tools Service Manager at Collins Aerospace, overseeing AI-powered developer tools and compliance. Serving engineering teams across various functions in a hybrid work environment. 🏢🏡 Charlotte – Hybrid 💵 $132.4k - $251.6k / year ⏰ Full Time 🟠 Senior 🔴 Lead 🤖 AI Engineer Cyber Security GenAI Engineer 🕒 January 21 DATAECONOMY 201 - 500 🤖 Artificial Intelligence 🤝 B2B 🏢 Enterprise Website LinkedIn All Job Openings AI Engineer specializing in generative AI and LLM deployment. Responsible for model implementation, fine-tuning and development of AI workflows. 🏢🏡 Charlotte – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor AWS Azure Cloud Docker Google Cloud Platform Kubernetes Microservices Python GenAI Engineer 🕒 November 19, 2025 DATAECONOMY 201 - 500 🤖 Artificial Intelligence ☁️ SaaS Website LinkedIn All Job Openings AI Engineer developing and deploying generative AI and LLM solutions at DATAECONOMY. Collaborating with teams to implement innovative AI technologies. 🏢🏡 Charlotte – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor AWS Azure Cloud Docker Google Cloud Platform Kubernetes Microservices Python AI Engineer – Generative AI & LLMs 🕒 July 31, 2025 DATAECONOMY 201 - 500 🤖 Artificial Intelligence ☁️ SaaS Website LinkedIn All Job Openings Seeking skilled AI Engineer to design and implement generative AI systems at DATAECONOMY in the US. 🏢🏡 Charlotte – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor AWS Azure Cloud Docker Google Cloud Platform Kubernetes Microservices MongoDB Node.js Postgres Python View More AI Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

AI systems architecturemulti-agent pipelinesLLM-based applicationsprompt engineeringfine-tuningmodel evaluation methodologiesPythonAI/ML librariesvector databasescloud AI platforms

Soft Skills

executive communicationmentoringteam developmentstakeholder engagementperformance reviewscareer development planningthought leadershipclient relationship managementworkshop facilitationproblem-solving

Certifications

Bachelor's degree in Computer ScienceMaster's degree in Data ScienceMaster's degree in AIMaster's degree in Engineering