AI/ML Solution Architect - Remote / Telecommute

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Company: Cynet Systems

Location: Reston, VA 20191

Description:

Job Description:

Responsibilities:
  • rchitect and design AI/ML solutions that leverage AWS services and a variety of GenAI and ML models to meet critical business needs.
  • Collaborate with Data Scientists and Machine Learning Engineers to create a robust conceptual, logical and practical solution architecture that supports the deployment and scaling of AI models.
  • Develop technical roadmaps that align with product roadmaps
  • Ensure that AI solutions comply with data privacy and security protocols while integrating smoothly with legacy systems.
  • Build solution architecture that optimize the performance of AI systems by leveraging AWS's scalable environment and manage resource allocation to maximize efficiency.
  • Provide architecture guidance in AWS AI services such as SageMaker, Lambda, Bedrock, Llama and other AWS Machine Learning models to streamline development and deployment processes.
  • Support training and development efforts to enhance the team's understanding and use of AWS cloud solutions in AI projects.
  • Evaluate new technologies and AWS updates to continuously improve and expand AI capabilities within the company.
  • Co-develop and drive the AI/ML strategy, ensuring alignment with enterprise capability maturity and progression.
  • Provide thought leadership in enterprise AI/ML architecture, ensuring scalability, resilience, and alignment with organizational goals.
  • dhere and implement architecture governance frameworks to ensure best practices and consistency across AI/ML initiatives.
  • pply principles of Responsible AI to ensure ethical and transparent AI development and deployment.
  • Evaluate and recommend market-leading tools and technologies, such as TensorFlow, PyTorch, Hugging Face, Databricks, and in-house platforms, to enhance AI/ML capabilities.
  • Foster collaboration across teams, ensuring influence and alignment in cross-functional AI/ML initiatives.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Extensive experience with AWS cloud services, particularly those related to AI and ML like AWS SageMaker, Lambda, and EC2.
  • Proven track record in designing and deploying AI/ML architectures and solutions in a large-scale environment.
  • Strong understanding of machine learning algorithms and AI implementation challenges.
  • Experience with software development life cycle (SDLC) and agile methodologies.
  • Demonstrated expertise in strategic planning and enterprise AI/ML capability development.
  • Strong financial acumen to manage AI/ML investments and ensure cost-effective implementation.
Desired Skills:
  • WS Certified Machine Learning Specialty or AWS Certified Solutions Architect certification.
  • Strong leadership skills with the ability to manage cross-functional teams.
  • Excellent problem-solving, organizational, and analytical abilities.
  • Effective communication skills to articulate complex technical ideas to non-technical stakeholders.
  • Experience with enterprise architecture tools such as TOGAF, ArchiMate, or similar frameworks.
  • Proficiency in Kubernetes, Docker, and data pipeline tools such as Apache Kafka and Airflow.

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