Remote AI Architect

Description:

• MindBridge is seeking an experienced AI Architect to join their team, reporting to the CTO.
• The role involves leading the architectural design and technical strategy for agentic AI capabilities in the MindBridge platform.
• Responsibilities include designing scalable, secure, and maintainable AI and cloud-based solutions.
• The AI Architect will establish architectural frameworks, technical standards, and governance best practices for agentic AI development.
• The position requires creating and maintaining technical roadmaps for AI implementation.
• The architect will lead a team to deliver key agentic AI capabilities and prototypes.
• Providing architectural oversight and technical direction for complex AI projects is essential.
• The role includes reviewing and approving designs, identifying and mitigating architectural risks.
• The architect will evaluate and recommend emerging technologies, tools, and frameworks for AI.
• Collaboration with development teams to ensure compliance with architecture and technical excellence is necessary.
• Producing detailed architecture documentation and technical specifications is part of the job.
• Implementing MLOps best practices and ethical AI governance practices around the agentic AI framework is required.

Requirements:

• A Bachelor’s or Master's degree in Business, Engineering, Computer Science, or a related field is required.
• Candidates must have 7+ years of software development experience, with at least 2 years in developing and deploying AI/ML solutions, particularly generative AI models.
• Expertise in AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, and OpenAI is necessary.
• Experience with LLMs and generative AI, including prompt engineering and RAG techniques, is required.
• Hands-on experience with model deployment and fine-tuning is essential.
• Strong cloud architecture and microservices design experience is needed.
• Proficiency in backend development (Python, Java), RESTful APIs, and event-driven architectures is required.
• Candidates should be skilled in distributed systems, containerization (Docker, Kubernetes), and orchestration tools.
• A deep knowledge of cloud platforms, Kubernetes, object storage, and CI/CD pipelines is necessary.
• A strong background in cloud security, compliance, and data protection best practices is required.
• Excellent verbal and written communication skills are essential, with the ability to convey complex technical concepts to diverse audiences.
• A high level of accuracy and attention to detail in all aspects of development and documentation is necessary.
• A proven track record in large-scale AI solution implementation is required.
• Understanding of AI governance and responsible AI principles is necessary.
• Familiarity with emerging AI technologies and architectural patterns is preferred.
• Candidates must fulfill requirements necessary to obtain a full background check.

Benefits:

• The position offers competitive compensation and equity.
• Flexible work options are available, including hybrid or remote work.
• Comprehensive health benefits and wellness programs are provided.
• Professional development opportunities are available for career growth.
• Flexible time off is offered to support work-life balance.
• Company matched retirement plans are included as part of the benefits.
• Employees can unplug and recharge with 4 company-wide digital detox days annually.