Gen AI Architect/Data Scientist

Job ID: SRJ_7301Posted: 2025-06-30Location: Philadelphia, PA; Orange, CTEmployment Type: C2CIndustry: Computer SoftwareClient: WiproContact: Meghana GorusuCompany: SRI Tech SolutionsRole:Gen AI Architect/Data ScientistLocation: Philadelphia, PA and Orange, Connecticut (Day 1 Onsite)Job Description:1. Machine Learning and Deep Learning: Proficiency in algorithms and frameworks such as TensorFlow and PyTorch is essential for developing AI models and ensuring they perform effectively2. Programming Languages: Strong skills in programming languages like Python, R, Java, or C++ are crucial for coding and debugging AI systems and writing efficient algorithms3. Data Science and Analytics: A solid understanding of data analysis, statistics, and big data technologies like Hadoop and Spark is necessary for managing data pipelines and ensuring data quality during AI model training4. Cloud Computing: Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) is critical for deploying scalable AI solutions, as many organizations leverage these resources for AI workloads5. System Design and Architecture: Understanding how to create scalable systems that can integrate AI models with existing IT infrastructure is vital for an AI architect’s role6. AI-driven Workflows: Knowledge of how to build effective workflows that combine machine learning models, automation, and real-time data processing helps in developing comprehensive AI solutions7. Agentic AI : Expertise in Agentic AI and multi-agent concepts8. Communication: Being able to convey complex technical concepts clearly to non-technical stakeholders is essential for aligning AI solutions with business goals9. Collaboration: AI architects often work in cross-functional teams, so strong teamwork skills are necessary for driving projects and ensuring that diverse perspectives are integrated into AI designs10. Problem Solving: The ability to analyze challenges and develop practical, innovative solutions is crucial in the ever-evolving landscape of AI architecture11. Leadership: AI architects typically lead interdisciplinary teams and must possess strong leadership capabilities to guide projects effectively and manage stakeholders12. Adaptability: The AI field is rapidly changing, so being open to learning new technologies and methodologies is important for staying relevantSRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national origin or citizenship status or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.