AI Architect

S2S Soft is a Global IT Solutions and Services company with unmatched expertise spread across various Industrial Internet like IT Staff, Document Management, Software Development, Mechanical Design and Independent Software Vendors. Our clients have relied on us for providing Technology initiatives and support for their business processes in the areas of Enterprise Application Management, Custom Application Management, Business Intelligence & EAI, Infrastructure Management & Security and Quality Assurance & Testing Services.

S2S Soft understands the unique challenges faced by various industries. Through hands on experience earned from different client engagements, we enable our customers to address their challenges with tailor made solutions best suited to their present systems. With a firm eye on Return on Investments of our customer, we conceive, build and deploy solutions that are robust, scalable and yet flexible. We partner with our clients on their long-term initiatives by providing real value while demonstrating high level of professionalism and ethics metus.

Job Title/Role: AI Architect

Raritan, NJ- (Day-1 onsite)

6+ months Contract

Mandatory Skills:

12+ years of hands-on technical experience in software engineering, with at least 5+ years in a leadership role managing cross-functional teams, including GenAI, machine learning, and cloud infrastructure.

Hands-on Experience in designing and developing large-scale systems, including GenAI, API architectures, data systems, ML pipelines, and cloud-native applications.

Programming Languages: Proficiency in Python, JavaScript, Java, or other backend languages. Experience with API development (RESTful APIs, GraphQL).

Machine Learning & AI: Extensive experience in building and deploying ML models using TensorFlow, PyTorch, scikit-learn, and spaCy, with hands-on experience in integrating them into GenAI applications.

Preferred:

Hands on experience in Google Cloud Platform/Data Engineering/DevOps

Detailed Description:

The AI architect will play a pivotal role in architecting, leading, and actively contributing to the development of GenAI applications, machine learning models, data engineering pipelines, and cloud-native infrastructure. This hands-on leadership position requires extensive technical expertise and experience in managing a diverse, cross-functional team of engineers spanning GenAI App Development, Data Science, Machine Learning, Full Stack, DevOps, Cloud Infrastructure, and API development.

Be responsible for architecting complex systems, making critical decisions, and leading teams to deliver high-quality, scalable solutions while remaining directly involved in coding, technical design, and problem-solving.