Senior AI Architect – Generative AI Platform Development (Remote, Part‑Time) – $32/hr – Join careerzynith’s Cloud Innovations Team

About careerzynith

careerzynith is a global leader in technology‑driven transformation, empowering enterprises to reinvent themselves through cutting‑edge software, cloud services, and intelligent automation. Our mission is to create “miracles” for businesses—turning complex challenges into streamlined, future‑ready solutions. With a culture built on curiosity, collaboration, and relentless innovation, careerzynith attracts the brightest minds in AI, data science, and product development. Whether you’re a seasoned architect or an emerging talent, you’ll find a supportive environment that encourages bold ideas, rapid experimentation, and continuous learning.

Role Overview

careerzynith’s Cloud Innovations Application Platform (AP) group is seeking an exceptional AI Architect to lead the design and implementation of a next‑generation generative AI platform that will power our internal developer experience tools. This is a part‑time, remote‑first position offering a competitive rate of $32 per hour. You will partner with cross‑functional teams—including AI engineers, software developers, data scientists, and product managers—to translate advanced machine‑learning research into production‑ready solutions that accelerate application development across careerzynith.

Key Responsibilities

• Architect, prototype, and deploy scalable generative AI models that enhance the developer experience platform, focusing on code generation, documentation assistance, and automated testing.
• Collaborate with multi‑disciplinary teams to integrate AI capabilities into existing workflows, ensuring seamless hand‑offs between research, engineering, and product delivery.
• Design data pipelines that ingest, clean, and transform large‑scale datasets stored in distributed systems such as Amazon S3, Azure Blob, and Hadoop clusters.
• Lead model training, hyper‑parameter tuning, and performance evaluation using frameworks like TensorFlow, PyTorch, and JAX, targeting state‑of‑the‑art transformer architectures.
• Develop robust evaluation metrics—including BLEU, ROUGE, and custom relevance scores—to assess model quality, bias, and safety before production rollout.
• Implement monitoring, logging, and automated alerting for AI services to maintain high availability, low latency, and compliance with internal security standards.
• Translate complex technical findings into clear, actionable insights for non‑technical stakeholders, creating documentation, visualizations, and executive summaries.
• Mentor junior data scientists and engineers, fostering a culture of knowledge sharing, code review excellence, and continuous improvement.
• Stay abreast of emerging AI research, open‑source advancements, and industry best practices, proactively recommending enhancements to careerzynith’s AI roadmap.
• Contribute to the creation of reusable AI components, libraries, and APIs that can be leveraged across multiple product lines within careerzynith.

Essential Qualifications

• Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, or a related quantitative field (Master’s or Ph.D. preferred).
• 5+ years of hands‑on experience developing and deploying machine‑learning models at scale, with a focus on natural language processing (NLP) and generative AI.
• Proficiency in programming languages such as Python, R, and SQL, and familiarity with distributed storage solutions (e.g., S3, Azure Data Lake, HDFS).
• Demonstrated expertise in transformer architectures, vector embeddings, and large language models (LLMs) such as GPT‑3/4, BERT, or T5.
• Strong background in model evaluation, data quality assurance, and error analysis, including techniques for handling missing values, outliers, and bias mitigation.
• Experience with model deployment frameworks (e.g., Docker, Kubernetes, SageMaker, Azure ML) and CI/CD pipelines for AI services.
• Excellent communication skills, with the ability to present technical concepts to both technical and non‑technical audiences in a concise and compelling manner.
• Proven track record of collaborating with cross‑functional teams to deliver AI‑enabled products that drive measurable business outcomes.

Preferred Qualifications

• Advanced degree (M.S. or Ph.D.) focused on machine learning, deep learning, or computational linguistics.
• Publications or contributions to open‑source AI projects, especially in the generative modeling space.
• Hands‑on experience with reinforcement learning from human feedback (RLHF) and alignment techniques for safe AI deployment.
• Familiarity with cloud platforms (AWS, Azure, GCP) and serverless architectures for AI workloads.
• Background in software engineering best practices, including test‑driven development, code reviews, and version control (Git).
• Experience designing AI solutions that improve developer productivity, such as code autocomplete, automated refactoring, or intelligent documentation generation.

Core Skills & Competencies

• Analytical Rigor: Ability to dissect complex datasets, identify patterns, and translate insights into high‑impact AI solutions.
• Problem‑Solving Mindset: Creative approach to tackling ambiguous business problems with data‑driven methods.
• Collaboration: Strong team player who thrives in a distributed, remote‑first environment and values diverse perspectives.
• Leadership: Capability to guide technical discussions, influence product direction, and mentor junior talent.
• Adaptability: Comfort with rapid iteration, shifting priorities, and evolving technology landscapes.
• Ethical Awareness: Commitment to responsible AI practices, including fairness, transparency, and privacy considerations.

Career Growth & Learning Opportunities

careerzynith invests heavily in the professional development of its people. As an AI Architect, you will have access to:

• Annual learning stipend for conferences, certifications, and advanced coursework (e.g., NeurIPS, ICML, Coursera, Udacity).
• Mentorship programs pairing you with senior research leaders and industry experts.
• Opportunities to publish research papers, file patents, and contribute to internal knowledge bases.
• Clear career pathways toward senior leadership roles such as Principal AI Engineer, Director of Machine Learning, or Chief AI Officer.
• Cross‑functional rotations that broaden exposure to product management, user experience, and business strategy.

Work Environment & Culture at careerzynith

Our culture is built on three pillars: Innovation, Inclusion, and Impact. You will join a globally distributed team that values:

• Flexibility: Remote‑first work arrangements, flexible hours, and a results‑oriented mindset.
• Collaboration: Regular virtual “coffee chats,” hackathons, and cross‑team design sprints that foster idea exchange.
• Diversity: An inclusive environment where diverse backgrounds, perspectives, and experiences are celebrated and leveraged for better solutions.
• Well‑Being: Programs that support mental, physical, and financial health, ensuring you can bring your best self to work.

Compensation, Perks & Benefits

careerzynith offers a competitive hourly rate of $32, complemented by a comprehensive benefits package that includes:

• Medical, Dental, and Vision Coverage: Premium plans for employees and eligible dependents.
• Health & Wellness Programs: Access to virtual fitness classes, mental‑health resources, and wellness stipends.
• Retirement Savings: 401(k) plan with company matching contributions to help you build long‑term financial security.
• Employee Stock Purchase Plan (ESPP): Opportunity to purchase careerzynith stock at a discounted rate, aligning your success with the company’s growth.
• Paid Time Off & Holidays: Generous vacation, sick leave, and paid holidays to recharge and spend time with loved ones.
• Professional Development: Tuition reimbursement, internal training platforms, and a robust library of technical resources.
• Employee Assistance Program (EAP): Confidential counseling and support services for personal or work‑related challenges.
• Flexible Work Schedules: Ability to tailor your workday to accommodate personal commitments while maintaining collaboration with the team.

Why Join careerzynith?

If you are passionate about shaping the future of AI‑driven developer tools, thrive in a collaborative, remote‑first setting, and want to make a tangible impact on how millions of engineers build software, careerzynith is the place to amplify your career. Our commitment to innovation, ethical AI, and employee growth ensures that you will not only contribute to groundbreaking products but also evolve as a leader in the field.

Apply Now

Ready to bring your AI expertise to careerzynith and help redefine the next generation of developer platforms? Click the link below to submit your application, attach your resume, and share a brief cover letter outlining why you’re the perfect fit for this role.

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