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Gen AI Architect​/Data Scientist

Job in Philadelphia, Philadelphia County, Pennsylvania, 19190, USA
Listing for: SRI Tech
Full Time position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Data Engineering
Job Description & How to Apply Below
Job :
Philadelphia, PA;
Orange, CT

Employment Type:

1099, C2C, W-2

Company: SRI Tech Solutions Role:

Gen AI Architect/Data Scientist

Location:

Philadelphia, PA and Orange, Connecticut (Day 1 Onsite)

Job Description:

1.
Machine Learning and Deep Learning:
Proficiency in algorithms and frameworks such as Tensor Flow and PyTorch is essential for developing AI models and ensuring they perform effectively
2.
Programming

Languages:

Strong skills in programming languages like Python, R, Java, or C++ are crucial for coding and debugging AI systems and writing efficient algorithms
3.
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 training
4.
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 workloads
5.
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 role
6.
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 solutions
7.
Agentic AI :
Expertise in Agentic AI and multi-agent concepts
8.
Communication:
Being able to convey complex technical concepts clearly to non-technical stakeholders is essential for aligning AI solutions with business goals
9.

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 designs
10.
Problem Solving:
The ability to analyze challenges and develop practical, innovative solutions is crucial in the ever-evolving landscape of AI architecture
11.
Leadership: AI architects typically lead interdisciplinary teams and must possess strong leadership capabilities to guide projects effectively and manage stakeholders
12.
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.
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