Fullstack AI Principal Consultant
6 days ago
Location: NYC Metro
Employment Type: Full-time
Onsite 3 days
Job 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.
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