Senior Generative AI Engineer — Enterprise AI Architect

MCI; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

MCI is seeking a Senior Generative AI Engineer to lead development of enterprise-scale AI solutions. You will guide architecture, design, and deployment of AI platforms, mentoring engineers and aligning AI initiatives with business goals.

The role emphasizes governance, security, and scalable systems in a dynamic tech-enabled services environment. You will collaborate with senior stakeholders, translate requirements into architectures, and drive innovative AI programs.

Qualifications

• 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.
• Demonstrated ability to drive innovation and deliver business-focused AI solutions.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

Skills

LLMs & foundation models

Python

AI frameworks

Prompt engineering

Model evaluation

Enterprise AI deployment

Cloud platforms

Distributed systems

Mentoring engineers

Stakeholder management

Innovation leadership

Education

Bachelor's degree in CS/SE/Data Science/AI

Master's degree in AI/CS or related

Tools

OpenAI

Anthropic

Gemini

Claude

LangChain

LangGraph

LlamaIndex

MLOps tooling

Job description

MCI is seeking a Senior Generative AI Engineer to lead development of enterprise-scale AI solutions. You will guide architecture, design, and deployment of AI platforms, mentoring engineers and aligning AI initiatives with business goals.

The role emphasizes governance, security, and scalable systems in a dynamic tech-enabled services environment. You will collaborate with senior stakeholders, translate requirements into architectures, and drive innovative AI programs.