AI Architect

About the Role

We are looking for a seasoned AI Architect to lead the end-to-end design and enterprise-scale deployment of cutting-edge AI solutions, with a deep focus on Generative AI (GenAI), Large Language Models (LLMs), and AI Agent frameworks.

As a strategic technical leader, you will drive AI architecture decisions across cloud-native environments, build intelligent automation pipelines, and collaborate with both technical and executive teams to align AI initiatives with business strategy. You will be expected to bring a strong mix of hands-on delivery expertise and architectural leadership.

Qualifications & Experience

• 12–15 years of total experience, with 5+ years in Data Science or AI/ML Engineering roles.
• Demonstrated experience leading end-to-end AI/ML solution design and production deployment.
• Proven track record in Generative AI, LLMs, NLP, and AI agent development.
• Expert in Python and familiar with modern ML/NLP frameworks: HuggingFace, LangChain, PyTorch, TensorFlow, etc.
• Experience fine-tuning LLMs for domain-specific applications (e.g., Q&A systems, auto-documentation, predictive insights).
• Hands-on experience building, scaling, and optimizing AI systems on OCI, with knowledge of hybrid/multi-cloud architectures.
• Strong knowledge of machine learning algorithms, prompt engineering, vector databases, and RAG pipelines.
• Familiar with MLOps, model governance, and CI/CD for ML workflows.
• Strong communication and stakeholder management skills—able to bridge the gap between technical and executive teams.

Key Responsibilities

• Architect, build, and deploy production-grade AI/ML models with a strong focus on GenAI, LLMs, and intelligent agents.
• Serve as a lead architect across multiple cross-functional teams delivering AI-enabled applications.
• Design scalable, cloud-native AI solutions using Oracle Cloud Infrastructure (OCI) and other multi-cloud platforms.
• Mentor teams on solution design, best practices, and delivery excellence for AI projects.
• Guide enterprise-wide AI architecture strategy, ensuring alignment with data strategy, DevOps, and security best practices.
• Engage with C-suite stakeholders to define AI priorities, value propositions, and roadmaps.
• Lead solution estimation, technical governance, and program oversight.
• Contribute to GTM initiatives, including customer-facing demos and proposal development.
• Stay current with the latest advancements in GenAI, LLM optimization, AI agent architectures, and model integration strategies.
• Publish internal whitepapers, present at leadership forums, and help grow the AI practice through coaching and community engagement.