Senior ML Ops Technical Specialist - DevOps, Python

Job Summary

We are seeking a highly experienced Gen AI Solution Architect (12+ years) to design, build, and scale Generative AI solutions across complex enterprise ecosystems. This role requires deep technical expertise, strong stakeholder engagement, and the ability to translate business needs into secure, scalable AI architectures. The ideal candidate will work closely with product owners, engineering teams, and business leaders.

Key Responsibilities

12+ years of experience in solution architecture, AI/ML, or advanced analyticsStrong expertise in Generative AI, LLMs, Prompt Engineering, RAG architecturesHands-on experience with Azure OpenAI / OpenAI / Anthropic / Google Vertex AISolid background in cloud architecture (Azure preferred), microservices, APIsExperience with Python, ML frameworks, vector databases (Pinecone, FAISS, Chroma)Knowledge of AI security, data privacy, governance, and responsible AIStrong communication skills to work with senior stakeholders and cross‑functional teams

Skill Requirements

12+ years of experience in solution architecture, AI/ML, or advanced analytics                                                                  Strong expertise in Generative AI, LLMs, Prompt Engineering, RAG architectures                                        Hands-on experience with Azure OpenAI / OpenAI / Anthropic / Google Vertex AI                                              Solid background in cloud architecture (Azure preferred), microservices, APIs                                                              Experience with Python, ML frameworks, vector databases (Pinecone, FAISS, Chroma)                                                  Knowledge of AI security, data privacy, governance, and responsible AI                                                                      Strong communication skills to work with senior stakeholders and cross‑functional teams

Other Requirements