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Role Name : Gen AI Architect
Client : Let you know
End Client : Confidential
Location : Phoenix, AZ
Role Description:
Gen AI Architect
Competencies:
AI & Gen AI - Products & Tools
Experience (Years):
6-8
Essential Skills:
Gen AI Architect
Desirable Skills:
Gen AI Architect
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Responsibilities:
Design, develop, and maintain backend services and APIs using Python.
Implement and optimize Generative AI models, ensuring scalability and efficiency.
Deploy and manage AI/ML solutions on Microsoft Azure (e.g., Azure Machine Learning, Azure Functions, Azure Kubernetes Service
Develop robust integrations with cloud-based services and databases.
Collaborate with cross-functional teams, including data scientists and frontend developers, to deliver AI-driven applicatio
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Key Responsibilities:
Design and develop security protocols to protect AI systems from malicious actors.
Monitor AI systems and networks to detect potential security threats.
Develop tools and processes to analyze security threats and vulnerabilities.
Audit existing AI systems for security risks and compliance.
Provide technical guidance to developers on secure coding practices.
Conduct AI solution architecture assessments to ensure proper
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Job Description :
Experience in real world Gen AI projects (no researchers, no POCs)
- Moved things to production
- Deep expertise in LLMs
- Who have dealt with millions of documents
- Who have worked on Gen AI project keeping "Volume, velocity, variety" aspects important
- Candidates who have done projects related to autonomous agents and large unstructured data
with production experience are also welcome.
- Candidates who have insurance/ banking Gen AI experience are welcome
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Job Title: AI/ML Resource
Location: San Jose, CA (Onsite)
Qualifications & Skills:
3+ years of experience in AI/ML, NLP, or Conversational AI development, preferably in financial domains.
Proficiency in LLM architectures (GPT, Llama, Claude, etc and fine-tuning techniques.
Strong background in Python, TensorFlow, PyTorch, Hugging Face, or similar AI frameworks.
Experience working with financial datasets, regulatory reporting, or risk analytics.
Hands-on experience with cloud pl
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Years of experience needed – 6- 8 year. We are seeking a highly skilled Sr. AI Software Engineer Airlines AWS Data Architect to join our team as a key contributor in our data As AI Software Engineer, you will work on initiatives across the entire business; initiatives range from our complex global operation to the digital customer experience. We're looking for someone who is passionate about developing solutions for real-world, large-scale problems using Artificial Intelligence techniques includ
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Implementation partner : TCS
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Location: Thousand Oaks, CA (Day One Onsite)
Job Description/Skills: Data Architect with AI or AI Architect
Designing, developing, and implementing generative AI multi-agent framework and algorithms utilizing state-of-the-art techniques.
Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
Conducting research to stay up-to-date with the latest advancements i
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Day 1 Onsite : 5 Days/week
Years of experience needed – 6- 8 year.
Technical Skills:
3+ years of work/educational experience in Artificial Intelligence/Machine Learning
Experience with Agile Software Development Lifecycles and DevOps/DevSecOps
Development experience on AWS, AWS Sagemaker required
Experience with one or more general purpose programming languages including but not limited to: Python, R, Scala, Spark
Experience with one or more of the following: Natural Language Pr
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Key Responsibilities:
Develop, test, and deploy machine learning models and AI solutions for a variety of applications, including predictive analytics, computer vision, natural language processing, etc.
Collaborate with cross-functional teams to define project requirements and objectives.
Preprocess and clean large datasets to ensure they are suitable for model training.
Research and apply state-of-the-art machine learning algorithms, such as deep learning, reinforcement learning, or u
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Qualifications:
· A minimum of 3 years of experience in AI engineering, specifically in the Azure ecosystem.
· Previous experience within the asset management industry is a must.
· Proficiency in Python and other relevant programming languages for AI development.
· Strong understanding of cloud architecture, data engineering, and containerization technologies such as Docker and Kubernetes.
· Experience in the full machine learning lifecycle, from data collection and model development t
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