Join SKY as a Principal Architect and you'll be part of a dynamic team that makes sure their technology delivers the best experience for the customers.
They are seeking an experienced and visionary Principal Architect to lead the end-to-end architecture of their Generative AI (GenAI) integrations. This role requires a deep understanding of AI technologies, excellent architectural skills, and a strategic mindset to drive innovation and deliver cutting-edge AI solutions across the organization.
Key Responsibilities:
Architectural Leadership:
Lead the design and development of the end-to-end architecture for GenAI integrations.
Define architectural standards, guidelines, and best practices for AI and machine learning (ML) solutions.
Ensure scalability, reliability, and performance of AI solutions across various business units.
Oversee multiple AI projects from conception to deployment, ensuring timely and high-quality delivery.
Work closely with project managers, data scientists, and developers to define project scope, objectives, and deliverables.
Partner with the FinOps team to ensure monitoring and budgetary guardrails are in place.
Develop technical methods to optimize costs and work closely with the procurement team in negotiations with vendors.
Strategic Planning:
Develop and execute a strategic roadmap for AI integration aligned with business objectives.
Identify opportunities for leveraging GenAI to drive business value and innovation.
Collaborate with senior leadership to align AI initiatives with organizational goals.
Solution Design:
Design and implement robust, scalable, and secure AI architectures.
Lead the evaluation, selection, and integration of AI platforms, tools, and technologies.
Ensure seamless integration of AI solutions with existing systems and data sources.
Collaborate with product teams to assist in the refinement of GenAI product requirements and provide early, high-level advice on possible solutions.
Technical Expertise:
Stay current with emerging AI trends, technologies, and best practices.
Provide technical guidance and mentorship to AI and engineering teams.
Conduct architectural reviews and provide recommendations for improvements.
Collaboration and Communication:
Foster strong relationships with stakeholders, including business leaders, product managers, and IT teams.
Communicate complex technical concepts to non-technical stakeholders effectively.
Promote a collaborative and innovative culture within the AI team.
Governance and Compliance:
Implement governance frameworks to ensure data privacy, security, and ethical use of AI.
Ensure compliance with industry standards, regulations, and internal policies.
Technical Skills:
Proficiency in AI/ML technologies, such as TensorFlow, PyTorch, and other relevant frameworks.
Experience with RAG framework, Vector DB, and AI GW solutions commonly used in the industry.
Deep understanding of data architectures, including data lakes, warehouses, and real-time processing.
Experience with cloud platforms like AWS, Azure, or Google Cloud.
Knowledge of API design, microservices, and distributed systems.
Benefits & Perks:
Competitive Rewards: Above market salary, yearly bonus, and access to a share-save plan.
Work-Life Flexibility: Embrace a hybrid working model and enjoy flexible holidays.
Employee Benefits Plan: Access a wide range of benefits that are designed and tailored to your everyday needs.
Health and Well-Being: Comprehensive health insurance for you and your family.
Continuous Learning: Access learning and development opportunities and an additional budget that you can use for education and professional training.
Tech Perks: Mobile phone with a data plan, and access to several partnerships and discounts.
Entertainment Goodies: Enjoy the best of entertainment with a complimentary SkyShowtime subscription.
Referral Rewards: Participate in our employee referral program and reap the rewards.
Want to know more? Get in touch with us!
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