Principal AI Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Establish technical strategies and spearhead architectural design for cloud, data, and AI/ML systems within comprehensive engagements.

• Design scalable cloud-native solutions, incorporating multi-cloud and hybrid approaches.

• Develop data architectures that include data warehouses, data lakes, and both batch and streaming pipelines.

• Create AI/ML systems, focusing on model serving, MLOps pipelines, feature stores, and applications based on large language models (LLMs).

• Set standards for infrastructure-as-code, CI/CD, and DevOps across various engagements.

• Enhance performance, scalability, cost-efficiency, and reliability of deployed systems.

• Ensure that architecture complies with security, governance, and regulatory requirements.

• Lead initiatives for cloud migrations and modernization of platforms.

• Utilize modern AI tools like Claude and Cursor to deliver high-quality outcomes efficiently.

• Collaborate with senior leadership and clients as the primary technical representative on strategy and direction.

• Articulate intricate technical concepts to both engineering and non-engineering stakeholders.

• Work closely with engineering, data, AI, and product teams to harmonize architecture with business objectives.

• Create and maintain architectural documentation, standards, and guidelines.

• Define and advocate for architectural standards and best practices.

• Mentor skilled engineers and architects.

• Take ownership of challenging architectural and integration issues as the senior technical decision-maker.

• Assess emerging technologies and suggest tools, frameworks, and patterns.

⛳️ Requirements

• 8+ years of experience in software engineering.

• Minimum of 5 years in technical leadership positions.

• In-depth knowledge of cloud platforms and cloud-native architectures, including AWS, Azure, or GCP.

• Strong foundation in microservices, serverless architecture, containers, and event-driven systems.

• Proficiency in infrastructure as code and CI/CD practices.

• Extensive experience in data architecture across relational, NoSQL, and big data systems.

• Hands-on expertise in data modeling, ETL/ELT pipelines, and orchestration.

• Significant experience in designing production-level AI/ML systems, including LLMs, MLOps, and model serving.

• Solid understanding of networking, security, identity, and access management within cloud environments.

• Familiarity with governance, compliance, and observability frameworks.

• Strong software engineering capabilities in Python, APIs, and containerization.

• Proven track record in senior technical leadership and mentoring seasoned engineers.

• Excellent communication skills with stakeholders.

• Demonstrated use of AI-driven tools such as Claude and Cursor.

• Experience in multi-cloud architecture, AI ethics or responsible AI practices, or enterprise architecture certifications is a plus.

🏝️ Benefits

• Paid time off.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k) for eligible employees.

• Comprehensive benefits package.

• Background check may be required as a condition of employment.

• Equal employment opportunities.