AI Solution Architect

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Please find the job description below for a AI Solution Architect and let me know your thoughts.

Role: AI Solution Architect
Location: Denver, CO-Hybrid
Visa: Any Visa
Experience: 11+ Years
Duration: Long Term

Job Description:
As an AI Solution Architect, you will be responsible for the end-to-end design and implementation of robust, scalable, and secure AI/ML solutions. You will serve as the bridge between business objectives and technical execution, translating complex business problems into viable architectural designs. Your expertise will be critical in selecting the right technologies, designing data pipelines, and ensuring our AI systems are deployed efficiently and responsibly. This role requires a blend of deep technical knowledge, strong leadership skills, and the ability to communicate complex concepts to both technical and non-technical stakeholders.

Key Responsibilities:
Architectural Design: Lead the design and development of AI/ML architectures and solution blueprints that meet business requirements for scalability, performance, security, and reliability.
Technical Leadership: Provide technical guidance and leadership to data scientists, MLOps engineers, and software developers throughout the project lifecycle.
Technology Selection: Evaluate and select appropriate AI/ML frameworks, tools, cloud platforms (e.g., AWS, Azure, Google Cloud Platform), and services to build and deploy solutions.
Stakeholder Collaboration: Work closely with business stakeholders to understand their needs and translate them into technical specifications and a clear architectural vision.
Solution Implementation: Oversee the implementation of AI solutions, from data ingestion and model training to deployment and monitoring in production environments.
MLOps and Best Practices: Champion MLOps best practices to ensure continuous integration, continuous delivery (CI/CD), and automated monitoring of machine learning models.
Research & Innovation: Stay abreast of the latest trends, research, and advancements in artificial intelligence, machine learning, and data science to inform architectural decisions.
Documentation: Create and maintain comprehensive technical documentation, including architectural diagrams, design specifications, and implementation plans.
Mentorship: Mentor and guide junior architects and engineers, fostering a culture of technical excellence and innovation.

Required Qualifications:
Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or a related technical field.
[X+] years of experience in a solution architect role, with a dedicated focus on AI/ML applications.
Proven experience in designing and delivering production-grade AI solutions on at least one major cloud platform (AWS, Azure, or Google Cloud Platform).
Deep expertise in machine learning concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Strong proficiency in programming languages such as Python and experience with relevant libraries (e.g., Pandas, NumPy).
Experience with big data technologies (e.g., Spark, Hadoop) and data warehousing solutions.
Demonstrated experience with MLOps principles and tools (e.g., Kubeflow, MLflow, Sagemaker).
Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
Strong problem-solving abilities and a strategic, analytical mindset.

Preferred Qualifications:
Experience with specific AI domains such as Natural Language Processing (NLP), Computer Vision, or Generative AI.
Experience with conversational AI platforms, particularly Cognigy.AI, for building and deploying virtual agents and chatbots.
Cloud-specific certifications (e.g., AWS Certified Machine Learning - Specialty, Azure AI Engineer Associate).
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
Knowledge of ethical AI principles and responsible AI development.