Senior Generative AI Engineer

POSITION OVERVIEW

MCI is one of the fastest-growing tech-enabled business services companies in the USA, with a strong call center footprint and operations that extend across multiple countries. We deliver Customer Experience (CX), Business Process Outsourcing (BPO), and Anything-as-a-Service (XaaS) cloud technology solutions across a wide range of industries, including healthcare, retail, government, education, telecom, technology e-commerce, and financial services. Our contact centers are powered by both on-site and remote agents, leveraging advanced technologies to enhance customer journeys, drive scalability and reduce costs. 

At MCI we are committed to fostering an environment where professionals can build meaningful careers, access continuous learning and development opportunities and contribute to the success of a globally expanding, industry-leading organization.  

 

 

We are seeking a Senior Generative AI Engineer to lead the development of advanced AI-powered products and enterprise solutions. This role requires deep expertise in Large Language Models, Generative AI architectures, prompt engineering, and production-grade AI deployments.

You will provide technical leadership, mentor engineering teams, and drive the design and implementation of innovative AI solutions that deliver significant business value.

 

To be considered for this role, you must complete a full application on our company careers page, including all screening questions and a brief pre-employment test.

POSITION RESPONSIBILITIES

Key Responsibilities:

 

AI Architecture & Solution Leadership

• Lead the design and implementation of enterprise-scale Generative AI solutions.
• Architect scalable and secure AI platforms and services.
• Design AI solutions aligned with business and technical objectives.
• Establish development standards and engineering best practices.
• Provide technical leadership across AI initiatives.

Generative AI Development

• Build and optimize advanced AI-powered applications.
• Develop solutions utilizing LLMs and foundation models.
• Design prompt engineering frameworks and optimization strategies.
• Improve model outputs, accuracy, and user experiences.
• Support deployment and lifecycle management of AI applications.

Stakeholder Collaboration & Strategy

• Partner with business and technology leaders to deliver impactful AI solutions.
• Translate business requirements into technical architectures.
• Support AI strategy development and roadmap planning.
• Provide technical guidance to product and executive stakeholders.
• Assist with AI opportunity assessment and prioritization.

Governance, Risk & Compliance

• Ensure AI solutions are secure, compliant, and responsibly deployed.
• Implement governance and monitoring controls.
• Support AI security and compliance initiatives.
• Assess risks associated with AI systems and deployments.
• Promote responsible AI development practices.

Mentorship & Innovation

• Support the growth of engineering teams and drive continuous innovation.
• Mentor junior engineers and AI practitioners.
• Evaluate emerging AI technologies and frameworks.
• Lead proof-of-concept and experimentation initiatives.
• Contribute to organizational AI capability development.

CANDIDATE QUALIFICATIONS

WONDER IF YOU ARE A GOOD FIT FOR THIS POSITION?

All positive, and driven applicants are encouraged to apply. The Ideal candidates for this position are highly motivated and dedicated and should possess the below qualities:

 

• Bachelor's Degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field.
• Minimum 5 years of software engineering experience.
• Minimum 3 years of hands-on experience developing Generative AI solutions.
• Extensive experience working with Large Language Models and foundation models.
• Advanced proficiency in Python and modern AI development frameworks.
• Experience designing, developing, and deploying enterprise-scale AI solutions.
• Strong understanding of prompt engineering, model evaluation, and optimization techniques.
• Experience integrating AI capabilities into complex business systems.
• Knowledge of cloud platforms, distributed systems, and scalable architectures.
• Experience mentoring engineers and leading technical initiatives.
• Strong stakeholder management and communication skills.
• Demonstrat