AI Solutions Architect

About the role

Design, develop, and oversee end-to-end implementation of the new GM GenAI platform and its related business use cases. Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability.

Responsibilities

• Design, develop, and oversee end-to-end implementation of the new GM GenAI platform and its related business use cases.
• Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability.
• Collaborate with business and IT stakeholders to understand and fulfill business needs objectives.
• Lead cross-disciplinary teams to deliver technical solutions that align with business priorities and expectations.
• Identify, prioritize, and execute tasks in the software development life cycle.
• Establish standards and lead the charge on automation for end-to-end SDLC efficiency.
• Mentor team members in technical design and development best practices.
• Drive platform performance, scalability, and resiliency testing.
• Implement hardware upgrades and software enhancements to meet global performance expectations.
• Address regulatory and performance-driven requirements for regional/localization of infrastructure platform.
• Conduct research prototyping to evaluate and identify new solutions to enhance platform and team capabilities.
• Monitor AI industry trends and stay abreast of advancements in AI, machine learning, and data science to continuously innovate and improve solutions.

Requirements

• Extensive experience in designing and implementing multi-tier (including microservices) application platforms.
• Proven ability to plan and lead delivery by a functionally diverse and geographically dispersed team.
• Consistent record for delivering projects on time and on budget.
• High coding proficiency in Python and Unix scripting.
• In-depth knowledge of relational databases (e.g., Oracle, MySQL) and NoSQL databases (e.g., MongoDB), and large structured/unstructured dataset processing.
• Knowledge in a full range of front-end languages, libraries, and frameworks (e.g., HTML/CSS, JavaScript, XML, React, jQuery).
• Strong communication skills to effectively collaborate with various stakeholders.
• Critical thinking and problem-solving skills.

Qualifications

Desired Experience:

• Experience implementing data analytics/AI solutions.
• Knowledge of machine learning frameworks like TensorFlow or PyTorch, LLM fine-tuning, Retrieval Augmented Generation (RAG), and tools for agentic solutions.

Pay

$57.78 - 67.78 per hour

Schedule

8 AM to 5 PM

Benefits

• Comprehensive medical, prescription, dental, and vision insurance.
• AD&D and life insurance offerings.
• Short-term disability.
• 401K plan (all benefits are based on eligibility).

Location: New York, New York
Job type: Contract
Education: Bachelor’s degree