div:has([data-free-thinking-preview-answer=true])+:is(.text-message,.relative:has(>.text-message))]:-mt-2 grow">

Job Summary
The Senior Principal Level Engineering Consultant will lead the architecture, design, development, and deployment of scalable software and AI-driven solutions using Python and cloud technologies. The role requires strong end-to-end architectural expertise, extensive experience with AWS or Azure services, database technologies, and hands-on experience integrating AI capabilities into production environments. The consultant will work closely with clients and cross-functional teams to translate business challenges into scalable solutions, provide technical leadership, mentor engineers, and drive adoption of emerging AI technologies.

Key Responsibilities
• Lead the design, development, and deployment of scalable software solutions using Python and cloud platforms such as AWS and Azure.
• Lead architecture and solution design for AI-driven systems and intelligent automation workflows.
• Define end-to-end solution architectures that integrate AI components with existing enterprise systems.
• Architect and implement robust, scalable, and high-performance systems aligned with business requirements.
• Collaborate with cross-functional teams to define technical specifications and ensure alignment with project objectives.
• Work directly with clients and stakeholders to understand business challenges and translate them into scalable AI/ML solutions.
• Design and implement AI-enabled applications and support integration of AI capabilities into production environments.
• Apply RAG architectures and other AI technologies to enterprise solutions where appropriate.
• Mentor and guide junior engineers while promoting continuous learning and engineering best practices.
• Conduct code reviews and ensure adherence to established coding standards and architectural best practices.
• Troubleshoot and resolve complex technical issues related to applications, cloud infrastructure, databases, and AI systems.
• Evaluate and optimize AI system performance, including latency, cost, reliability, and output quality.
• Support DevOps practices including containerization, CI/CD pipelines, and application deployment.
• Stay current with emerging technologies, AI frameworks, and industry trends and incorporate them into solution development where appropriate.
• Drive adoption of emerging AI technologies and frameworks based on business and technical requirements.

Required Qualifications
• Strong proficiency in Python.
• Extensive experience with cloud services, particularly AWS or Azure, including services such as EC2, S3, Lambda, and RDS.
• Strong experience with relational and NoSQL databases, including SQL-based technologies.
• Extensive architectural experience with proven ability to define end-to-end design strategies for enterprise applications.
• Hands-on experience integrating AI capabilities into production environments.
• Experience with RAG architectures and AI-enabled applications.
• Strong understanding of application architecture, scalability, performance, reliability, and integration patterns.
• Working knowledge of DevOps practices, including containerization, CI/CD pipelines, and software deployment processes.
• Strong experience collaborating with clients, stakeholders, and cross-functional technical teams.
• Strong problem-solving, technical leadership, communication, and mentoring skills.

Preferred Qualifications
• Experience delivering AI solutions from prototype through production in enterprise environments.
• Experience with additional programming languages such as Java, Go, or C++.
• Experience working with Large Language Models (LLMs).
• Experience optimizing enterprise AI solutions for performance, cost, latency, and output quality.
• Experience driving adoption of emerging AI technologies and frameworks.