AI Technical Architect (New H1B)
: Job Details :

Greetings from ClifyX Group!

ClifyX group is an award-winning IT Staffing firm formed in 1998. We have opening for Service Now Implementation Specialist, Solution Consultant Service Now, Sales Service Now, Presales Service Now, Sales, BDM, BPO Manager, US Recruiter, Team Lead, Resource Manager & Delivery Manager for Mumbai Location or working remotely.

Please response if interested or query with salary/Incentives or our Clients.

Our Incentives are recurring + Performance Bonus + Rewards and Recognition. Please response or refer if interested or query with salary/Incentives or our Clients.

What makes working at ClifyX so great? We give flexibility, listen to you, give opportunity to work in different technologies, give opportunity to work in different platform and give opportunity to grow internally. We have clear growth path for employees and proven workflow to grow each employee from recruiter to lead recruiter to Delivery Manager and Account Manager in next 5 years.

We give importance to Diversity and Inclusion where we celebrate every religious days and celebrate cultural festivals such as Diwali, Holi, Christmas, Mother's day, Women's day, Halloween and many others. Celebration can provide a great break of awareness. Clifyx give importance to work life balance and celebrate Happy Hours which will help to know your colleagues personally.

We have been into IT Staffing from past 18 years and currently have 185 Employees focusing in AWS, SalesForce, SAP and ServiceNow. We have strong practice in SAP and Salesforce and trying to grow now with ServiceNow. We have 14+ Employees in ServiceNow and most of them are Certified. They have experience working with ServiceNow Development, ITOM, Security, GRC, HR and Asset Management.

Job Title: AI Technical Architect

Employment Type: Full-Time

Visa Sponsorship: H1-B Visa Sponsorship Available

Position Overview:

We are seeking an experienced AI Technical Architect to join our team. The successful candidate will have a deep understanding of AI technologies, cloud platforms, and system integration. You will play a critical role in shaping the AI strategies and delivering robust, scalable AI solutions across various platforms. This position is ideal for candidates with strong leadership, problem-solving, and technical skills who are looking to work in a dynamic and innovative environment.

Key Responsibilities:

• Architect AI Solutions: Design and develop scalable AI/ML models and solutions, ensuring seamless integration with business applications.
• Technology Leadership: Provide thought leadership and guidance on AI best practices, frameworks, and technologies.
• Cloud Architecture: Design AI solutions using cloud platforms such as AWS, Azure, or Google Cloud.
• Data Management: Oversee the data pipeline architecture, ensuring efficient data ingestion, processing, and analysis for AI/ML models.
• System Integration: Collaborate with other engineering and product teams to integrate AI services with enterprise systems.
• Prototyping & Proof of Concepts: Lead proof-of-concept (PoC) projects to explore new AI capabilities and validate technologies.
• Performance Optimization: Ensure the optimal performance of AI systems by monitoring and tuning machine learning models, infrastructure, and cloud resources.
• Compliance & Security: Ensure AI solutions are compliant with regulatory requirements and industry best practices related to data privacy and security.
• Collaboration: Work with cross-functional teams, including product managers, data scientists, and software engineers to define and execute AI strategies.

Required Skills and Qualifications:

• Educational Background: Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• Experience:
• Minimum 5+ years of experience in AI/ML development and implementation.
• Proven experience architecting and deploying AI solutions in production environments.
• Technical Skills:
• Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Expertise in cloud platforms (AWS, Azure, GCP) with a focus on AI services.
• Strong programming skills in Python, Java, or other relevant languages.
• Solid understanding of microservices architecture, REST APIs, and containerization (Docker, Kubernetes).
• Experience with data management tools such as Apache Spark, Hadoop, or Databricks.
• Familiarity with natural language processing (NLP), computer vision, and deep learning algorithms.
• Soft Skills:
• Strong communication and leadership skills.
• Problem-solving attitude with attention to detail.
• Ability to work in a fast-paced, collaborative environment.

Preferred Qualifications:

• Certifications: AWS Certified Machine Learning Specialist, Microsoft Azure AI Engineer, or Google Cloud Professional Data Engineer certifications are a plus.