What are the responsibilities and job description for the AI & Generative AI Solution Architect//Bedminster, NJ//C2C and W2 position at Saanvi Technologies?
AI & Generative AI Solution Architec
Location: Bedminster, NJ
Experience: 7–10 Years
C2C and W2
Job Summary
We are seeking an experienced Solution Architect with a strong focus on AI and Generative AI architecture. This role will design and implement scalable AI-driven solutions that align with business objectives. The ideal candidate will have deep knowledge of AI technologies, frameworks, cloud platforms, and modern architecture practices.
Key Responsibilities
- Design and develop scalable AI and Generative AI architectures aligned with business requirements.
- Collaborate with stakeholders to gather requirements and translate them into technical solutions.
- Evaluate and select appropriate AI technologies, frameworks, and tools.
- Provide technical leadership and guidance to development teams throughout the project lifecycle.
- Conduct feasibility studies and develop Proofs of Concept (POCs) to validate AI solutions.
- Ensure best practices for AI architecture, data management, security, and scalability.
- Stay current with emerging trends and technologies in AI and Generative AI.
- Clearly communicate complex technical concepts to both technical and non-technical stakeholders.
Mandatory Skills
- Strong experience with AI and Generative AI architecture.
- Knowledge of Machine Learning, Natural Language Processing (NLP), and Computer Vision.
- Experience with AWS, Azure, and/or Google Cloud and associated AI services.
- Programming experience with Python, Java, or R.
- Experience designing RESTful APIs and microservices.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder-management skills.
Preferred Skills
- Big Data technologies such as Hadoop and Spark.
- DevOps and CI/CD practices.
- Data visualization tools such as Tableau or Power BI.
- Agile methodologies and project management experience.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
- 7–10 years of Solution Architecture experience, with a focus on AI technologies.
- AI, cloud, or architecture certifications such as TOGAF are a plus.