AI/ML Solution Architect - Remote / Telecommute

Job Description: Responsibilities: • Architect 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. • Adhere and implement architecture governance frameworks to ensure best practices and consistency across AI/ML initiatives. • Apply 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: • AWS 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. Apply tot his job