What are the responsibilities and job description for the Lead AI Principal Consultant position at AceStack?
Job Title: Lead AI Principal Consultant
Location: NYC Metro (2 days onsite in a week)
Employment Type: Full-time
Need Gen AI Engineer related resumes. Candidates should have consulting and banking exp
Job Description:
We are seeking a Lead AI Principal Consultant 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.
