Senior AI Solutions Architect​/Lead

About The Role

We are seeking an experienced AI Solutions Architect to lead initiatives that enhance engineering productivity through the strategic adoption of AI technologies. The ideal candidate will have hands‑on experience building and deploying AI systems in production, collaborating with diverse internal stakeholders, and ensuring compliance with international legal and regulatory frameworks.

This role bridges the gap between research, architecture, and implementation – driving measurable improvements in software development processes through innovative use of both Generative AI (GenAI) and traditional AI/ML techniques.

• AI-Driven Productivity:
  Design, prototype, and productize agentic workflows and LLM‑based systems that improve engineering productivity and developer experience.
• Solution Architecture:
  Develop scalable architectures that integrate AI solutions with existing engineering, IT, and software ecosystems.
• Cross‑Functional
  
  Collaboration:
  
  Partner closely with engineering, IT, and legal stakeholders to deliver compliant, production‑grade AI solutions across the software development lifecycle.
• Compliance & Governance:
  Ensure AI systems adhere to legal, ethical, and data protection requirements across multiple countries.
• Technology Leadership:
  Evaluate and integrate emerging AI technologies and frameworks to enhance system performance and maintainability.
• AI Techniques:
  Leverage Retrieval‑Augmented Generation (RAG), fine‑tuning, and traditional ML techniques to develop hybrid AI models that address engineering challenges.
• Continuous Improvement:
  Identify and address friction points throughout the SDLC using AI augmentation tools and frameworks.
• Measurement & Impact:
  Define and track KPIs to demonstrate measurable improvements in productivity and engineering efficiency through AI interventions.

• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field.
• 10+ years of experience in AI/ML engineering or AI solutions architecture.
• Proven track record of building and deploying real‑time AI systems into production.
• Deep understanding of Generative AI, RAG systems, fine‑tuning, and AI agent frameworks.
• Strong architectural expertise in integrating diverse technologies across software engineering environments.
• Familiarity with AI compliance and data governance requirements across multiple countries.
• Hands‑on experience with AI augmentation tools applicable to enterprise environments.
• Excellent communication and collaboration skills to engage with diverse teams across engineering, IT, and legal functions.

• Experience with modern AI frameworks such as Lang Chain, Llama Index, or other orchestration tools.
• Background in software engineering productivity or developer experience (Dev Ex) improvement roles.
• Knowledge of cloud platforms (AWS, Azure, or GCP) for deploying AI workloads.
• Familiarity with MLOps or model deployment processes (external use cases preferred).
• Demonstrated success in introducing AI tools into large‑scale organizations.