AI Consultant

Job Duties & Responsibilities

• Client Collaboration: Partner with clients to uncover operational pain points and business challenges through in-depth consultations, workshops, and stakeholder engagement, ensuring alignment with strategic goals.
• Requirements Analysis: Capture and document detailed business requirements, translating them into precise technical specifications for custom AI applications tailored to client needs.
• AI Solution Design: Architect and implement innovative AI solutions, leveraging frameworks like LangChain and LangGraph to create scalable, efficient, and impactful systems.
• Cloud Deployment: Build, test, and deploy enterprise-grade AI solutions in cloud environments (AWS, Azure, GCP), ensuring high availability, security, and performance.
• Agentic AI Development: Design and develop AI agents with decision-making capabilities, integrating LLMs with external tools and data sources for dynamic, context-aware workflows.
• Code Management: Maintain and manage robust GitHub repositories, ensuring best practices in version control, code collaboration, and documentation for team and client projects.
• Performance Optimization: Continuously evaluate and optimize AI models and systems for accuracy, efficiency, and scalability, incorporating client feedback and evolving requirements.
• Cross-Functional Collaboration: Work closely with data scientists, engineers, and product teams to integrate AI solutions into broader technology ecosystems, ensuring seamless functionality.
• Knowledge Sharing: Mentor junior team members and contribute to internal knowledge bases, fostering a culture of innovation and technical excellence.

Required Experience

• Experience: 5+ years in Technology Design and Development roles
• Advanced proficiency in Python and JavaScript for building and scripting AI applications.
• Hands-on experience with Agentic AI and Large Language Models (LLMs), including fine-tuning, prompt engineering, and integration with external tools.
• Expertise in GitHub repository management, including branching strategies, pull requests, and collaborative code reviews.
• Experience building custom AI systems using LangChain, LangGraph, or similar frameworks
• Strong experience with cloud platforms (AWS, Azure, or GCP), including services like AWS SageMaker, Azure AI, or Google Vertex AI for AI model deployment.
• Interpersonal communication skills with the ability to work independently or as part of team with both the Business and technology staff.
• Proven experience identifying business process improvements addressable through AI
• Strong understanding of AI governance, ethics, regulatory compliance, and security protocols

Education

• Bachelor's degree required. Degree in Business Administration, Finance, Computer Science or related field.