What are the responsibilities and job description for the FullStack AI Principal Consultant/Lead position at Hirekeyz?
Job Details
Job Title: Full Stack AI Principal Consultant/Lead
Location: NYC, NY- Hybrid (2 days onsite in a week)
Job Type: Full-time
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, Google Cloud Platform) 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
