Hexaware Technologies Jobs in Decatur, GA (NOW HIRING)

What Working at Hexaware offers:

Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed.

Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profile. We complete the circle with excellent growth opportunities, chances to collaborate with highly visible customers, chances to work alongside bright brains, and the perfect work-life balance.

With an ever-expanding portfolio of capabilities, we delve deep into and identify the source of our motivation. Although technology is at the core of our solutions, it is still the people and their passion that fuel Hexaware s commitment towards creating smiles.

At Hexaware we encourage to challenge oneself to achieve full potential and propel growth. We trust and empower to disrupt the status quo and innovate for a better future. We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together.

We are always interested in, and want to support, the professional and personal you. We offer a wide array of programs to help expand skills and supercharge careers. We help discover passion the driving force that makes one smile and innovate, create, and make a difference every day.

The Hexaware Advantage: Your Workplace Benefits

• Excellent Health benefits with low-cost employee premium.
• Wide range of voluntary benefits such as Legal, Identity theft and Critical Care Coverage
• Unlimited training and upskilling opportunities through Udemy and Hexavarsity

Role/Title : AI Architect

Onsite/Remote/Hybrid : Hybrid

Location : Alpharetta, GA, and New Jersey

FTE with Hexaware

Top 5 required skills :

• AI solution architecture and model lifecycle leadership
• Azure cloud architecture (infrastructure, services, cost management, monitoring)
• Big data engineering on Azure (Azure Data Lake, Databricks, Spark/Hadoop)
• Generative and agentic AI frameworks
• Technical leadership and stakeholder communication

Detailed JD :

Key Responsibilities:

• Collaborate with data scientists, engineers, and product managers to identify AI opportunities and define project requirements.
• Evaluate and select appropriate AI technologies, tools, and platforms to optimize performance and scalability.
• Lead the development of AI algorithms and models, ensuring they are robust, efficient, and aligned with best practices.
• Conduct research on emerging AI trends and technologies to inform strategic decisions and maintain a competitive edge.
• Oversee the integration of AI solutions into existing systems and workflows, ensuring seamless functionality.
• Provide technical guidance and mentorship to team members on AI-related projects and initiatives.
• Monitor and evaluate the performance of AI models, making necessary adjustments to improve accuracy and efficiency.
• Communicate complex AI concepts and solutions to non-technical stakeholders in a clear and concise manner.
• Develop a deep understanding of Azure solution architecture, including infrastructure, services, cost management, and monitoring.

Qualifications:

• Proven experience as an AI Architect or in a similar role, with a strong portfolio of successful AI projects.
  Experience with cloud platforms (e.g., Azure, Google Cloud, AWS) and big data technologies, specifically Azure Data Lake, Databricks, and other big data processing tools (e.g., Hadoop, Spark).
• Basic Understanding of machine learning algorithms, deep learning, natural language processing, and computer vision.
• Understanding of cloud infrastructure, services, cost management, and monitoring.
• Knowledge of AI tools and GenAI and Agentic AI frameworks.
• Exposure to cloud architecture principles and practices, with a focus on improvement.
• Ability to learn quickly and adapt to new technologies and methodologies.
• Experience in deploying AI solutions in production environments.
• Knowledge of data engineering and data management best practices.

Preferred Skills:

• Experience with other cloud platforms such as Google Cloud and Amazon Web Services.
• Understanding of system design principles and cloud deployment strategies

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