Gen AI Architect

EXL; Hartford (CT); On-site; USD 130,000 - 160,000; Full time

Job summary

A leading technology firm is seeking a Senior GenAI Architect to lead innovative AI solution design and project execution. Ideal candidates have 6-10 years of experience in AI/ML, with strong expertise in Generative AI technologies. Responsibilities include overseeing AI project delivery, managing teams of engineers and data scientists, and collaborating with stakeholders for successful AI adoption. Proficiency in Python and experience with cloud platforms are essential. This role offers the opportunity to shape AI strategies in a dynamic environment.

Qualifications

• 6-10 years of professional experience in AI/ML, with 3+ years in Generative AI.
• Strong expertise in LLMs, GANs, diffusion models, and retrieval-augmented generation (RAG).
• Demonstrated experience in project management and people management.

Responsibilities

• Architect and deploy scalable Generative AI solutions aligned with business goals.
• Lead end-to-end AI projects from research and prototyping to deployment.
• Manage engineers, data scientists to build high-performing teams.

Skills

Generative AI expertise

Project management (Agile, Scrum)

Communication skills

Leadership skills

Python proficiency

Education

Bachelor’s/Master’s degree in Computer Science, AI, or related field

Tools

PyTorch

TensorFlow

Hugging Face

AWS

Azure

GCP

Job description

Role Overview

We are seeking a seasoned Senior GenAI Architect with 6–10 years of experience to lead the design and implementation of advanced AI solutions while managing projects and teams. This role requires strong expertise in Generative AI technologies, combined with proven project management and people leadership skills. You will be responsible for shaping AI strategy, guiding technical teams, and ensuring successful delivery of enterprise-grade AI projects.

Key Responsibilities

• Architect and deploy scalable Generative AI solutions aligned with business goals
• Lead end-to-end AI projects from research and prototyping to deployment in production environments, ensuring delivery within scope and timeline
• Manage engineers, data scientists to build high-performing teams
• Collaborate with product, engineering, and business stakeholders to drive AI adoption
• Oversee MLOps pipelines, cloud deployments (Azure, AWS, GCP), and model lifecycle management
• Ensure compliance, ethical AI practices, and clear communication of AI concepts to executives and non-technical stakeholders

Key Qualifications

• Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• 6–10 years of professional experience in AI/ML, with at least 3+ years in Generative AI.
• Strong expertise in LLMs, GANs, diffusion models, and retrieval-augmented generation (RAG).
• Proficiency in Python, ML frameworks (PyTorch, TensorFlow, Hugging Face), and cloud platforms (AWS, Azure, GCP).
• Demonstrated experience in project management (Agile, Scrum) and people management.
• Excellent communication and stakeholder management skills.