solution Architect Gen AI/ML

Ageatia Global Solutions; Great Falls Crossing (VA); Remote; USD 120,000 - 160,000; Full time

Job summary

A leading company is seeking a Solution Architect specializing in GenAI and Machine Learning. This remote role involves designing advanced AI solutions within AWS, collaborating with teams to develop scalable architectures, and ensuring compliance with security standards. Ideal candidates will have a strong background in AI technologies and a passion for driving business impact through innovation.

Qualifications

• Extensive experience with AWS cloud services related to AI/ML.
• Proven experience designing and deploying AI/ML architectures at scale.
• Strong knowledge of machine learning algorithms and AI challenges.

Responsibilities

• Architect and design AI/ML solutions leveraging AWS services.
• Collaborate with Data Scientists and ML Engineers.
• Ensure AI solutions comply with data privacy and security standards.

Skills

Leadership

Problem-solving

Communication

Education

Bachelor's or Master's degree in Computer Science

AI

ML

Tools

Kubernetes

Docker

TensorFlow

PyTorch

Hugging Face

Databricks

Kafka

Airflow

Job description

Join to apply for the Solution Architect Gen AI/ML role at Ageatia Global Solutions

Job Title:

Solution Architect GenAI and ML

Duration:

12 Months

Location:

100% Remote (Monthly visits to office in Virginia as needed)

Job Description:

We are seeking an experienced Solution Architect to support various GenAI and Machine Learning projects. This role involves designing and implementing advanced AI solutions within our AWS infrastructure. The AI/ML Solution Architect will create end-to-end solutions for GenAI projects that integrate with our existing IT framework, supporting our goals for technological innovation and efficiency. This position is ideal for someone passionate about harnessing AI technologies to drive business impact.

Responsibilities:

1. Architect and design AI/ML solutions leveraging AWS services and various GenAI and ML models.
2. Collaborate with Data Scientists and ML Engineers to develop scalable solution architectures.
3. Develop technical roadmaps aligned with product strategies.
4. Ensure AI solutions comply with data privacy and security standards, integrating with legacy systems.
5. Optimize AI system performance using AWS's scalable environment and manage resources efficiently.
6. Provide guidance on AWS AI services like SageMaker, Lambda, Bedrock, Llama, and others.
7. Support team training on AWS cloud solutions for AI projects.
8. Evaluate new technologies and AWS updates to enhance AI capabilities.
9. Contribute to AI/ML strategy development, ensuring alignment with enterprise maturity.
10. Ensure architecture scalability, resilience, and adherence to governance frameworks.
11. Apply Responsible AI principles for ethical AI development.
12. Recommend tools and technologies such as TensorFlow, PyTorch, Hugging Face, Databricks, etc.
13. Foster cross-team collaboration on AI/ML initiatives.

Qualifications:

1. Bachelor's or Master's degree in Computer Science, AI, ML, or related field.
2. Extensive experience with AWS cloud services related to AI/ML.
3. Proven experience designing and deploying AI/ML architectures at scale.
4. Strong knowledge of machine learning algorithms and AI challenges.
5. Experience with SDLC and agile methodologies.
6. Strategic planning and enterprise AI/ML capability development skills.
7. Financial acumen for managing AI/ML investments.

Desired Skills:

1. AWS Certified Machine Learning Specialty or Solutions Architect certification.
2. Leadership skills and experience managing cross-functional teams.
3. Problem-solving, organizational, and analytical skills.
4. Excellent communication skills for technical and non-technical stakeholders.
5. Experience with enterprise architecture frameworks like TOGAF or ArchiMate.
6. Proficiency in Kubernetes, Docker, and data pipeline tools like Kafka and Airflow.