Int. AI Architect to lead the architectural vision, strategy, and integration of AI and GenAI solutions- RQ01503

Int. AI Architect to lead the architectural vision, strategy, and integration of AI and GenAI solutions- RQ01503

Duration: 6 months

Location: Remote (Might be required to go into office occasionally)

This position is responsible for leading the architectural vision, strategy, and integration of AI and Generative AI (GenAI) solutions within the enterprise. The AI Architect will play a key role in identifying AI-driven opportunities, designing scalable solutions, and ensuring AI adoption aligns with business objectives. The role requires a deep understanding of AI models, machine learning, data science, and cloud technologies, with a focus on practical implementation and enterprise integration.

The successful candidate will engage in business discussions, work closely with stakeholders and leadership teams, and contribute to the roadmap and governance of AI adoption. They will be responsible for defining technical feasibility, ensuring the secure and scalable implementation of AI solutions, and guiding development teams toward AI-driven automation, analytics, and decision-making enhancements.

Must Have Skills:

• 3+ years of experience in AI, ML, and data science with hands-on AI solution architecture.
• 3+ years of experience in a leadership role guiding AI strategy and implementation.
• Proven experience with AI/ML model development, LLMs, and NLP technologies.
• Experience working with enterprise AI adoption, including security, compliance, and governance.
• Experience with ServiceNow AI integration, Microsoft Copilot, or AI-enhanced process automation (a plus)
• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field

Deliverables:

AI Strategy & Architecture Development (40%)

• Develop and maintain an AI and GenAI architecture strategy, ensuring alignment with enterprise goals.
• Define AI integration patterns within enterprise applications, leveraging cloud-based AI services and APIs.
• Establish AI governance frameworks, ensuring compliance with security, privacy, and ethical AI standards.
• Research emerging AI trends and ensure the organization stays ahead in AI adoption.
• Provide thought leadership on AI-driven transformation and innovation.

Business Engagement & Use Case Identification (30%)

• Work closely with business units, partners, and stakeholders to identify AI opportunities.
• Translate business challenges into AI use cases with measurable impact.
• Collaborate with teams to create AI-driven business cases and support investment decisions.
• Facilitate AI discovery workshops and proof-of-concept (PoC) initiatives.

AI Solution Development & Integration (20%)

• Define AI/ML solution architecture, guiding teams in model selection, deployment, and optimization.
• Ensure AI models are scalable, explainable, and robust, addressing bias, drift, and model governance.
• Work with cloud engineering, data science, and software teams to implement AI-driven automation and insights.
• Oversee the end-to-end lifecycle of AI models, from training and deployment to monitoring and maintenance.

Technical Leadership & Governance (10%)

• Develop AI architectural principles, best practices, and reusable frameworks.
• Mentor AI engineers, data scientists, and architects to ensure high-quality AI implementation.
• Ensure AI models comply with data security, privacy, and regulatory policies.
• Collaborate with IT teams to integrate AI solutions into the enterprise data ecosystem.