What are the responsibilities and job description for the GenAI/ML Architect (Direct Hire) position at RaiZan Solutions?
NOW HIRING: GenAI/ML Architect
Location: Pittsburgh, PA (On-Site)
Industry: Information Technology and Services | Business Vertical: Life Sciences, Health Care, Energy, Resources and Utilities
Experience Level: Mid-Senior | Experience Required: 10 Years
Education: Bachelor’s Degree
Employment Type: Full-Time | Relocation Assistance: No | Visa Sponsorship: Not Available
Raizan Solutions LLC is hiring for their client as a direct hire. We do not charge candidates.
Must-Have Qualifications
- 12 years of experience in AI/ML engineering, including at least 3 years in an architectural role
- Extensive experience in AI/ML model development, deployment, and lifecycle management
- Expertise in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn
- Experience with cloud platforms like AWS, GCP, Azure
- Strong programming skills in Python, Java, or C
- Proficiency in MLOps tools like Kubeflow, MLflow, Airflow, Docker, Kubernetes
- Deep understanding of distributed computing, big data technologies (Spark, Hadoop), and scalable data pipelines
- Experience with NLP, deep learning, reinforcement learning, generative AI
- Proven ability in AI-driven business transformation and enterprise AI strategies
- Familiarity with edge AI, IoT, or real-time AI processing
- Knowledge of ethical AI frameworks and responsible AI principles
- Strong problem-solving skills and ability to mentor AI/ML teams
- Experience in agile development methodologies to deliver solutions and product features
Key Responsibilities
- Design and architect end-to-end AI/ML solutions, ensuring scalability, security, and efficiency
- Guide data scientists and engineers in developing, training, and deploying machine learning models
- Define best practices for MLOps, including model versioning, monitoring, and retraining strategies
- Develop AI frameworks and reusable components to accelerate AI adoption across the organization
- Collaborate with stakeholders to understand business requirements and align AI solutions accordingly
- Optimize data pipelines and AI infrastructure to support high-performance model training and inference
- Evaluate emerging AI technologies and recommend suitable tools, frameworks, and methodologies
- Ensure compliance with AI ethics, governance, and data privacy regulations
- Implement microservices architecture to build scalable and resilient software solutions
- Use cloud platforms like AWS, Azure to deploy and run software applications
Take the next step in your AI/ML career with a dynamic organization committed to innovation and impactful solutions. Apply now to join a forward-thinking team.
Job Type: Full-time
Pay: $57.00 per hour
Compensation Package:
- Hourly pay
Ability to Commute:
- Pittsburgh, PA 15201 (Preferred)
Ability to Relocate:
- Pittsburgh, PA 15201: Relocate before starting work (Preferred)
Work Location: In person
Salary : $57