AI Senior Software Architect

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Regular or Temporary:

Regular

Language Fluency:  English (Required)

Work Shift:

1st Shift (United States of America)

Please review the following job description:

Provide application, systems, or process design recommendations based on short- and long- term Technology organization strategy. Develop enterprise level application and custom integration solutions including major enhancements and interfaces, functions and features. Use a variety of platforms to provide automated systems applications. Provide expertise regarding the integration of applications across the business. Determine specifications, then plan, design, and develop the most complex and business critical software solutions, utilizing appropriate software engineering processes-either individually or in concert with project team. Provide architectural strategy and direction for multiple diverse application functions on a variety of multi-platform systems in order to support the achievement of corporate business objectives.

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Develop application strategy in support of short- and long-term business plans as well as application implications and software development requirements.
2. Participate in the development of company business system architecture plans and review cost and feasibility of system requests while ensuring the plan supports the strategic needs of the company.
3. May develop programming and development standards and procedures as well as programming architectures for code reuse.
4. Apply in-depth knowledge of programming languages and designing, coding, testing etc.
5. Understand and consistently apply the attributes and processes of current application development methodologies.
6. Research and maintain knowledge in emerging technologies and possible application to the business. Viewed as a technical expert and critical technical resource.
7. Typically lead complex projects and participate in larger initiatives. Solve complex technical and operational problems.
8. Act as a resource for teammates with less experience. May oversee workflow and provide coaching and training for a small team.

QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Extremely strong understanding on foundational technology architectures such as Microservices, SoA, MVC and robust experience in implementing large & complex technology solutions

• Expertise in designing, implementing, and optimizing prompts for Large Language Models (LLMs) and working with LLM APIs.

• In-depth knowledge on data structures and algorithms relevant to AI

• Highly familiarized with cloud platforms such as Azure, AWS, or GCP

• Experience with CI/CD pipelines, version control systems, and monitoring with specific focus to AI systems / solutions

• Industry experience, either as an Enterprise or Solution Architect in designing and implementing complex systems, specifically focusing on integration with GenAI applications, ML models, and cloud infrastructure.

• Ability to lead large technical teams and large initiatives, providing guidance on architecture and best practices

• Willingness to work effectively with cross-functional teams such as Infrastructure, Security, Data and Middleware teams

• Ability to collaborate with business stakeholders to understand key goals / business drivers, align on design / solutions and accelerate build and deployment of identified use cases for GenAI

• Possess strong problem-solving skills, think critically and be creative to build and promote innovative AI solutions

1. Bachelor’s degree and eight years of experience in development or an equivalent combination of education and work experience.
2. In-depth knowledge in information systems and