What are the responsibilities and job description for the Fullstack AI Principal Consultant/Lead position at LussoTech LLC?
b Description:
We are seeking a Senior Fullstack AI Principal Consultant/Lead to drive AI strategy, solution architecture, and offshore development team leadership. This role demands expertise in AI/ML, fullstack development, and client engagement. The ideal candidate will be responsible for leading offshore AI initiatives, collaborating with senior client stakeholders, and expanding the consulting footprint by delivering value-driven AI solutions. Candidate should be ready to commute to client NYC office 2 days a week.
Key Responsibilities:
• Lead and mentor an offshore AI development team, ensuring high-quality deliverables.
• Collaborate with senior client stakeholders to understand business needs and propose AI-driven solutions.
• Architect and oversee the design, development, and deployment of AI-powered fullstack applications.
• Develop POV (Proof of Value) and solution roadmaps for clients.
• Identify opportunities to expand AI consulting services and drive business growth.
• Implement scalable, maintainable, and secure AI solutions leveraging cloud and on-premises environments.
• Ensure seamless integration of AI models with enterprise systems and workflows.
• Optimize system performance while ensuring adherence to security and compliance standards.
• Drive the adoption of cutting-edge AI frameworks, libraries, and technologies.
• Act as a bridge between offshore teams and client stakeholders, ensuring effective communication and engagement success.
Required Skills & Experience:
• 10 years of experience in software engineering, with a focus on AI/ML applications.
• Strong expertise in Python, JavaScript (React, Node.js), and backend technologies
• Proven experience in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face.
• Experience in LLMs (Large Language Models), Generative AI, and NLP.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Experience in leading offshore teams and managing large-scale AI development projects.
• Strong client-facing and consulting skills, with the ability to engage and influence senior stakeholders.
• Demonstrated experience in developing and presenting POVs, proposals, and AI solution strategies.
• Knowledge of databases (SQL, NoSQL) and big data technologies.
• Strong grasp of security, performance optimization, and DevOps practices.
• Excellent leadership, communication, and problem-solving skills.
